lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: ML Engineer/Researcher
Category: Data Science
Experience: 2 years | English: fluent

- Presented my research on quantum computing at three conferences in local universities and was awarded the Jury prize for an outstanding presentation.
- Won a special jury award as a part of a team at Empowering Women 2018 hackathon.
- Presented my project - an AI-based system for detecting heart pathologies - at Intel ISEF 2018 science fair and was awarded three independent Special awards.
Education:
- B.Sc. in Computer Science at Ukrainian Catholic University
- Internship and exchange studies at Czech Technical University

Relevant working experience:
- Machine Learning Researcher at Rossum AI, Czech Republic
- Computer Vision Research Engineer at UA/USA startup DressX
- Research Intern at Center for Machine Perception at CTU, Czech Republic
- Teaching assistant at Ukrainian Catholic University, Ukraine

Key responsibilities and tasks:
- domain research, problem analysis, and proposal of solution architecture
- data pre-processing, implementation of classical mathematical methods for data pre-processing, and results enhancement
- implementation and/or recreation of SoTA approaches, adapting and/or fine-tuning the models for a given task
- maintaining project documentation
- presenting main findings during demos, seminars, presentations, etc.

You can find more details on each specific working experience in my CV.
- Only full-time positions
- I would prefer a younger project with research opportunities rather than a fully technical role for maintaining existing solutions
Position: ML Engineer (Tech Lead)
Category: Data Science
Experience: 5 years | English: fluent

- Boosting retention KPIs with churn prediction ML model with high AUC; 
- Transforming market strategy in time via causal inference analysis;
- Time series forecasts were within 5% MAPE for few months in the row; 
- Prototype of Kaldi speech recognition system in Ukrainian language with low WER etc;
- Customary parallelized AutoML system with best data processing / engine selection and hyperaparameter tuning for time series and tabular data;
- Approximation of real-world business process in healthcare system with simulation on simpy and RL optimization of key actors decision making.
Relevant projects as Data Scientist (2017-2022):
- ML classification model on customer churn via decision trees and MLP;
- Cluster analysis on customers;
- Causal inference analysis to detect effects of market interventions on trend change;
- Forecasting time series revenue via ARIMA, LSTM and FBProphet; 
- Forecasting sales: hierarchical time series with zero-inflated data;
- Regression analysis and data visualization on customer satisfaction KPIs;
- Google Analytics automated reporting and integration with BI tools;
- Speech Recognition system in Ukrainian language with Kaldi framework;
- Speaker diarization for operator-client dialogue;
- Retraining Credit Scoring system;
- AutoML pipelines deployment: 1) DataProcessing / FeatureEngineering / FeatureSelection; 2) Engines: h2o, autogluon, autokeras, tpot, optuna 3) Back-end: elasticsearch / redis / celery
- AutoML customary Time Series Forecasting functionality with best engine selection and transformations;
- Creating Simulation environment and RL optimization: 1)TicketingSystem with multiple nodes; 2)Simpy-based; 3)UI and backend configuration.
- Synthetic Data Generation via Bayesian networks / GANs
Position: ML Enginier / Junior C/C++ developer
Category: Data Science
Experience: 1 years | English: intermediate


1 year internship in Samsung R&D institute:
  - Speech classification using Siamese network and LibriSpeech dataset;
  - Signal processing (FFT) on motions sensors datasets;
  - Using CNN auto-encoders and RNN GAN's for motion sensor data processing;
  - Implementing python app for launching training on Machine Learning Platform;
Deep learning Course on Coursera from DeepAI;

C++ Courses on Coursera;
C embedded pet project: web server on ESP32 to manipulate led strip using esp-idf and FreeRTOS;
Position: ML(Machine Learning) Engineer | NLP | DL | Data Scientist
Category: Data Science
Experience: 4 years | English: upper

Drastically reduced the company's expenses for text analysis services.
4 years of experience as a machine learning engineer with a specialization in NLP. At work, I developed solutions for various machine learning problems using deep learning and classic approaches. For example, sequence labeling, text classification, text segmentation, semantic similarity, word similarity, and others. Implemented and integrated SOTA solutions for solving business problems.
To find a position as a Machine Learning Engineer with a specialization in NLP.
Position: ML manager
Category: Data Science
Experience: 4 years | English: fluent

Initiated and managed AI based product for internal process automation
Built from the scratch ML team in consulting company.
1,5 years of leading ML team (7 people, built from scratch), 3+ years of part-time SW-development and data science experience, Certified Scrum Product Owner, Python,  ASR, NLP, Deep Learning, Machine Learning, Data Visualization, SQL, JIRA, Git, Scrum, Agile, MS Office Excel, Power Point.

Senior ASR/NLP engineer, Luxoft, banking risk management 
October 2019 - current
• Building speech recognition system to the banking analytical tool

Lead of ML team, AI Product Owner in Digital Solution Lab, Deloitte Ukraine
~(60% - management/40% development)
May 2018 - October 2019
•	Software development (Python)
•	Performance of ML experiments
•	Management of ML experiments backlog 
•	Promotion of own AI product, performing product demos to different stakeholders
•	Managing of Product backlog and roadmap, grooming, release management
•	Building AI expertise, participation in managing SCRUM team
•	Acting as BA on AI-based prototyping projects

Product Owner/BA Tax & Legal department,  Deloitte Ukraine
June 2016 – April 2018  
(60% - management/40% development)
•	Acting as BA and domain expert on internal AI based project
•	Preparation on software requirements, backlog management
•	Performance of manual QA 
•	Development of basic features on Python and simple software for internal process automation
•	Datasets gathering, preparation and cleaning
•	Performance of basic Data Science/NLP experiments

Senior tax consultant Tax & Legal department,  Deloitte Ukraine 
February 2014 - October 2017
•	Tax advisory on transfer pricing and corporate income tax
•	Preparation of transfer pricing reporting on behalf multinational enterprises performance of margin benchmarking market analysis 
•	Tax audit (in minor extend).
After significant experience of managing machine learning product want to switch to pure technical role of data scientist/ML engineer. Projects related to text processing (NLP) are the most preferable
Position: ML/MLOps Engineer
Category: Data Science
Experience: 3 years | English: intermediate

Team Lead
Senior php developer
ML Engineer
Master in Computer Systems and Networks, 
Research Engineer in Computer Systems
3y - ML/MLOps Engineer
7y - Senior php developer

- Python & Machine Learning 3 year
- End-to-end ML Engineering in automotive
- AWS Ecosystem
- GCP
- Databricks platform
- Experience with a microservices solution


Python Stack: Pandas, NumPy, Matplotlib, Seaborn, Flask
ML Stack: PyTorch (+lighting), Scikit-learn, MLOps skills 
Databases: Oracle SQL, PostgreSQL, SQLite, BigQuery, MySQL,Delta lake, MongoDB
Electronics and circuitry: Raspberry, Arduino PCB, Sensors, IoT
Notebooks: Jupyter Notebook, Google Colab
DevOps Stack: Docker, Google Cloud Composer, K8S
I want to work on an interesting project and have the opportunity to apply my experience
Position: ML/NLP Engineer
Category: Data Science
Experience: 6 years | English: upper

Participation in creating open source NLP models for Ukrainian language
5+ years in ML/AI, experienced in NLP field
- NLP (embeddings, transformers, huggingface, spaCy)
- Chatbots (RASA, Dialogflow)
- Deep learning, Neural networks (Tensorflow, keras, pytorch)
- python (pandas, sklearn, flask)
- Cloud platforms (AWS, Azure, GCP)

Certified AWS ML Specialist
- Сhallenging business-oriented tasks, ability to have an impact on the product
- Progressive, result-oriented environment
- Working in a team of top class experts
Position: MLOps Engineer
Category: Python
Experience: 5 years | English: upper


From Jan 2022 till now
I'm working as MLOps Engineer and enable model deployment automation to production systems.

As a software engineer I am responsible for:
1. Code development, analysis and refactoring;
2. Writing test automation scripts;
3. Creating and mainting instances on AWS;
4. Communication product owner, data scientists
5. Developing CI/CD systems

Tools & Technologies:  Python, PostgreSQL, GitHub Actions, Docker, Docker compose, Terraform, Kubernetes, ArgoCD, AWS

From Dec 2020 to Jan 2022
I was involved in project Feature Store. Feature store aim is to solve the full set of data management problems encountered when building and operating operational ML application. With helps of feature store it is possible to:
Run data pipelines that transform raw data into feature values
Store and manage the feature data itself
Serve feature data consinstently for training and inference purposes
To store historical data for train and test models we used PostgreSQL and for real-time data we used Redis.

Tools & Technologies: Python, PostgreSQL, Redis, Docker, Github Actions, S3, AWS EC2

From Dec 2018 to Nov 2020
During that time, I was involved in a "Data Lake" project, where we use ETL process, quality checks and business metrics for data validation. 

As a software engineer I was responsible for:
1. Code development, analysis and refactoring;
2. Creation of an automate structure and the approach to write tests for the current project;
3. Writing test automation scripts;
4. Working and interacting in an Agile environment within the Scrum team;
5. Participating in meetings for setup process and requirements, proposing technical, business solution and functions that were implemented;

Tools & Technologies: Python, Exasol, Jenkins, Docker, Amazon S3, SFTP.

From Jul 2018 to Nov 2018
During that time, I was involved in R&D project where we developed a monitoring system for racing cars in which I used Python as a primary programming language and CISCO Kinetic EFM as Edge & Fog Processing Module. 

As a software engineer I was responsible for:
1. Design logic for CISCO Kinetic EFM;
2. Implementing MQTT broker, sensor simulators in Python;
3. Covering Python code with unit tests;
4. Database design and implementation in CISCO Kinetic EFM;
5. Estimation and prioritization of tasks;

Tools & Technologies: Python, CISCO Kinetic EFM, Xinabox, Flask, Google Cloud Platform, PostgreSQL, TensorFlow, Mosquitto, MQTT, DS Links.
Position: MLOps Engineer
Category: Python
Experience: 9 years | English: upper


I am a software engineer with 9 years of experience.
I started as Java BE developer. After 6 years of work I switched my career towards ML. Currently working as ML Ops Engineer on computer vision project.
On my previous position I worked on NLP project and wos responsible for the whole lifecycle of models: from data collection to model deployment to production.
Position: MLOps Engineer
Category: Data Science
Experience: 3 years | English: fluent

- Applications with 0 seconds of downtime within a year of deployment.
- Extensive research in reinforcement learning using Ray
- Managed to make deployment work on aws-us-gov
- Mentored several people in the DevOps roles. Supporting them in writing better code
- Set up a business process that less experienced devs can easily follow. It became a new business stream.
- 2x AWS certified.
- 1x Nvidia certified.
- Other certifications.
- I'm also a rock climber. I currently can climb 6C - 7A ;)
I've been in the software world for a long time now. Only the commercial experience is in the range of 2-3 years.
I've done different things ranging from programming for esp-32 microchips to developing custom algorithms for specific problems. And somewhere in the middle is writing cloud-native production deployments for one of the biggest Ukrainian media companies.
My experience is mainly in DevOps and ML/MLOps Engineering. Although it is sadly not a requirement for these positions, I also do not neglect my skills in good software design through understanding business logic, the preferred way of doing things, and intuitional insight into architecture.

Here are some of my experiences throughout the years:
- Created the cloud deployment (GCP), which is entirely described with Terraform and GitHub actions. It's split between prod/staging/ multiple dev deployment. It requires little to no input from me, and almost everything is done automatically based on the developers' actions. Tools used: Terraform, Docker, Kubernetes, make, GitHub Actions.
- Research in the reinforcement learning area. Tools used: Python, NumPy, Pandas (and others from sci-py), RLLib
- IoT networking using LoRa modules with ESP-32 board. Tools used: C++, soldering iron, and a breadboard.
- Video target tracking system on Nvidia Jetson Xavier. Tools 
used: Python, OpenCV, Docker, Nvidia Jetson Xavier.
- AWS project on aws-us-gov cloud partition.
And numerous others.
I'm looking preferably for a product. Ideally, a new idea or a new look at the problem, not just another website project. Something where I can stretch my software engineering and design muscle.
Position: MLOps Engineer
Category: Data Science
Experience: 3 years | English: upper


MLOps Engineer - PASHA Bank OJSC [ 01/01/2023 – Current ]
City: Baku
Country: Azerbaijan
Responsibilities:
- Successfully migrated seven ML models to the Dataiku Platform by applying MLOps best practices
- Implemented automated monitoring and alerting systems to ensure the health and performance of deployed machine
learning models
- Actively participated in knowledge sharing and peer reviews, fostering a culture of continuous learning and improvement
within the MLOps team
Skills: MLOps · Dataiku DSS · Python (Programming Language) · Knowledge Sharing · Bash · PostgreSQL

Data Scientist - PASHA Bank OJSC [ 22/11/2021 – 30/12/2022 ]
City: Baku
Country: Azerbaijan
Responsibilities:
- Redeveloped product recommendation engines for seven different Banking products (ML models, RFM, and Rule-Based
approaches)
- Developed and constructed data pipelines to be used in the model, ensuring efficient and effective flow of data for analysis
and modeling purposes
- Implemented a hyper-parameter optimization package using Optuna to improve the performance of the recommendation
engines
Skills: Python (Programming Language) · Bash · Data Operations · Research and Development (R&D) · Machine Learning ·
Oracle Database · PostgreSQL · Data Science

Data Scientist - International Bank of Azerbaijan [ 01/12/2020 – 19/11/2021 ]
City: Baku
Country: Azerbaijan
Responsibilities:
- Demonstrated expertise in manipulating large datasets using statistical and numerical languages
- Communicated analytical solutions to stakeholders on how to leverage data-driven insights and recommended necessary
improvements
- Conducted extensive research on various machine learning approaches, including reinforcement learning, unsupervised
learning, and recommendation systems, to develop a comprehensive understanding of the latest industry trends and best
practices
- Built Recommendation System using advanced techniques such as Matrix Factorization, Clustering Based model, and
implemented Deep and Cross network via TFRS to offer a product that customers most likely to buy and increased conversion
rate from 4 to 16 %
Skills: Python (Programming Language) · Research and Development (R&D) · Machine Learning · Data Science · Data Analysis · TensorFlow
I value maintaining a healthy work-life balance and strive to avoid situations where it becomes imbalanced. Additionally, I am not comfortable with excessive micromanagement.

I deeply appreciate and respect trust within the work environment, as it encourages collaboration, innovation, and a sense of ownership.

However, I am not particularly inclined towards the practice of time tracking during regular working hours, as I believe it can sometimes hinder productivity and creativity.
Position: ML(OPS) engineer
Category: Python
Experience: 2 years | English: intermediate


Build machine learning pipelines of processing data with help of:
Keras
Tensorflow
sklearn
support existing systems with writing/refactoring code on Python
Research forecast of amount of the special product using Reinforcement Learning(Keras) and convenience ml methods
Develop system of parsing documents with help of aws ml technologies and cover this system with flask.
Build chatbot and deploying with docker
Build automate speech recognition models using nvidia
Build Computer Vision Models using 
TensorFlow + OpenCV
Keras + OpenCV
i do not want to configure etl pipelines and other data engineering key features.
Position: ML Research Engineer
Category: Data Science
Experience: 3 years | English: upper


Bluetooth-based indoor localization of person/items
===
We were developing a device-based system that will localize objects based on RSSI. We have implemented solutions using Fingerprinting, Trilateration, and Regression-based approaches. Also, we implemented a theoretical model to calculate maximal accuracy for custom beacon configuration. Also, all data gathering using beacons was implemented by ourselves. Also, started to work on the system with AoA using I/Q data.

Skycoin
===
Developed support of Skycoin for Ledger from scratch (signing transaction, generating addresses, etc). Also worked with Golang as a desktop application to communicate with a hardware wallet via APDU and protobuff. Developed Bitcoin integration for SkyWallet. During the work, I had also set up Travis CI and have written a lot of unit tests. I was working remotely in international teams with a time difference of more than 8 hours.

Smart conference room
===
We were developing the system, which provides dynamic air control and light control, notifies an overage of CO2 in the room, shows room occupation status using display outside of the room. Handle work of low power mode switching and correct system coherence.
I would be happy to work with something challenging and not ordinary (e.g., R&D projects with some scientific part, hardware + software, etc.)
Position: ML Researcher
Category: Data Science
Experience: 2 years | English: fluent


As a Machine Learning Engineer, I created a custom AutoML Python package and used it to build a scalable fullfledged
AutoML Pipeline. The Pipeline automated feature generation & selection, hyperparameter tuning, evaluation & logging of the best models. It supported parallelized tuning and stacking and could be launched on-premise via Airflow or on the cloud via Kubeflow.

As a Machine Learning Researcher, I led the creation of a Multi-Task Graph Neural Network, by proactively researching GNNs & Multi-Task papers, organizing development and mentoring an ML Engineer. The developed Multi-Task approach was 100 times faster than the previous "Single Task - Single Model" and enabled the screening of billion-scale databases within hours. Afterwards, I researched papers on pre-training and Self-Supervised
Learning strategies for GNNs and GNN Transformers.
Position: ML Researcher
Category: Data Science
Experience: 1 years | English: fluent


For a year I was a fellow ml researcher at New York University Lab. There I and my colleagues were working on a project how russian and Ukrainian news spread on a Facebook. And if there is any bias in Facebook guidelines when deleting some of those news.
Position: ML researcher, ML engineer
Category: Data Science
Experience: 10 years | English: intermediate


I have a PhD.
I Investigated Voice Emotion Recognition. I Developed an approach to sociology that collects and labels emotional data.
Worked with NLP, Computer Vision, DNN

There is an experience of a team leader in projects related to the aggregation of large amounts of data and visualization. Stack (Flask, React, PostgreSQL, Docker, git)

At the moment I teach at the university and do research in the field of deception detection in video

Good skils in Python and ML/DL libraries(Keras, TensorFlow, Scikit, Pandas, Numpy...)

I can write in Java, I know C++ syntax
Position: ML Scientist
Category: Data Science
Experience: 0 years | English: upper

One years of actual data science experience (participation on research project with ML) + three years of business application development experience (stack: python and scala development). 
Currently studding of Apache Spark's MLLib. 
Got a scientific degree in medical biophysics. 
Sincerely like mathematics.
Scala, Python, Qt, JavaScript, SQL, MongoDB, Bash, Linux, Git, EDA, ML, Spark MLlib , Statistical Data Analysis
Data Scientist Position.
Position: Mobile and Desktop developer with high 3D, AR/VR and CV experience seeking remote job oppotunity
Category: Android
Experience: 11 years | English: upper

Mobile Application Developer
Company NameArdagh Group Full-time
Dates EmployedJan 2019 – Feb 2021
Employment Duration2 yrs 2 mos
LocationCopenhagen, Capital Region, Denmark
Company in Architectural field
- Developing and maintaining BIM(Building Information Model) CRM
app in Android, iOS and Front-end
- Worked with team of 4 members and provided IFC model rendering
and visual effect
- Lead developer in 2 key projects of major clients
Ram Sampath
Qt and OpenGL Developer
Company NameRam Sampath Full-time
Dates EmployedJan 2015 – Dec 2018
Employment Duration4 yrs
LocationCalifornia, United States
- Developed and maintaining Fire Simulator called "FDYN"
- Developed loading and rendering various 3D model using Qt OpenGL
and QML UI module
Dalian Wanda Group
Software Developer
Company NameDalian Wanda Group Full-time
Dates EmployedJan 2012 – Dec 2015
Employment Duration4 yrs
LocationDalian, Liaoning, China
- Designed and developed more than 5 mobile apps live on AppStore
and Play Store
- Developed Desktop Game live on Steam called "Astebreed"
Mobile and Desktop Developer with high 3D, AR/VR, CV and GPGPU programming skills.
- Capable of carrying out requirement rapidly and wonderfully.
- High Android and iOS native application(not hybrid) development skills
- Windows, Linux and MacOS low level application development skills.
- Mastered Computer Graphics Mathematics and mastered about graphics pipeline and GPU
architecture.
- In particular, Mastered OpenGL, CUDA, iOS Metal, DirectX frameworks.
- High Level GPU programming language such as GLSL(OpenGL, OpenGL ES), HLSL(DirectX), CUDA Kernel and MSL(Metal Shading Language)
- Mastered rendering in Web front end using WebGL or ThreeJS
- I consider as best developer's mind that keep deadline and quality that I mentioned.
- I like to write correct and compact code.

My main skills are as below.

- Native iOS and Android Development(Swift, Java, Objective-C, Kotlin)
- Android NDK
- ARKit, ARCore and Vuforia
- OpenGL, CUDA, Apple Metal and DirectX
- WebGL and ThreeJS
- Qt/QML
- Visual Studio
- version control using git, svn, bitbucket and so on..

Regards.
Bun Tengwang
How are you?
I am seeking new job. Of course I am going to earn money to maintain the life with my beautiful wife and daughter. 
But, I want to grow my skills, to grow team spirit and to feel happiness about my product  in new job.
My mind is to finish wonderfully about all project and to keep deadline.
Thanks for reading my message.
Bun.
Position: Mobile and game developer
Category: Android
Experience: 4 years | English: upper


Android/iOS - developed full applications from scratch till publication and support. Support legacy bank project. (bug fix + add new features).
Unity - developed games in team, supported existing commercial projects. (Mobile, Server, Web, AR).
Construct 2/3 - created and support web mini-games.
Spark AR - created face masks for Instagram and Facebook