lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Machine Learning Engineer
Category: Data Science
Experience: 0 years | English: upper


During my career as a Software Engineer at IT-Dimension, I gained expertise in developing Android applications using Kotlin and Java, following industry best practices. I collaborated with cross-functional teams to gather requirements, design application architecture, and deliver high-quality software solutions. Additionally, I worked on embedded systems projects, optimizing system performance using C.

As a Technical Team Lead at S-PRO and later as a Technical Lead / Software Engineer at TraDove, I honed my leadership skills and gained experience in developing blockchain solutions. I utilized Golang as the primary programming language, collaborated with cross-functional teams, and ensured successful project execution.

Throughout my journey, I have developed a deep interest in Deep Learning and its applications. Although my previous experience has primarily been in software engineering, I am eager to transition into a Deep Learning role. I have completed relevant online courses, including a Coursera Deep Learning Specialization, where I mastered neural network architectures and applied them to real-world cases.
Position: Machine Learning Engineer
Category: Data Science
Experience: 3 years | English: fluent

- I developed a logic for a SWIFT payment system using machine learning techniques.  The goal was to confirm or reject a transaction based on the beneficiary name. As a result, more than 80% of payments are processed automatically, without human intervention.

- Trained several machine learning models that were deployed to production. For example, I trained a neural network to classify a payment with an accuracy of 95%.

- Designed, developed, and deployed several successful Python-based microservices from scratch. 

- I worked in a team, developing cloud hosting with complex architecture, adhering to the best software development practices.
English: Advanced/Fluent.

Languages & Skills:
• Machine Learning: Tensorflow/Keras, Scikit-Learn, Pandas, NumPy.
• Back-end: Django/DRF, Flask.
• Databases: PostgreSQL, MongoDB, Redis.

Level of education: Bachelor's degree in Software Engineering.

About: 
I am a Software Engineer from Ukraine. I have over 3.5 years of commercial experience in Python programming and in Machine Learning. My industry experience in Machine learning is working with text datasets. Professionally I trained Neural Networks using TensorFlow & Keras for text classification and NLP tasks. In addition, I have hands-on experience in web development, Docker, and cloud technologies. My primary goal is to continue to develop my skills in the field of  AI, Machine Learning, and Deep Learning.
- Working in a team of experienced ML engineers.
- At least temporarily, I wish to receive compensation in any international payment system (Wise, Binance, etc).
Position: Machine Learning Engineer
Category: Data Science
Experience: 2.5 years | English: fluent


Evergrowing professional with 2.5 years of working experience in Python. Had been working last 9 months as a Research Associate on a Computer Vision problem utilizing ML algorithms and Tensorflow to predict Breast Cancer stage using images. Currently working in NLP domain with GPT models.
Recently received Google Professional Machine Learning Engineer certification to showcase ability to design, build, and deploy scalable machine learning models and systems on Google Cloud Platform.
Position: Machine Learning Engineer
Category: Data Science
Experience: 4 years | English: fluent

- Developed and successfully implemented sports modeling using Markov Chains that enabled the whole project's growth
- Built and deployed successful models that predict sport and e-sport events' outcomes with proven effectiveness and business value
- Build NN architectures that solved project problems such as Predict Symmetry, Custom Distributions for output layer, Hero Pick Embedding for League of Legends, and DOTA 2.
- Wrote a Neural Network backend using Golang to deploy models trained on Keras.
Experienced in ML project life cycle: 
data collection, preprocessing, feature engineering, training, data augmentation, validation and testing, post-deployment monitoring.

Knowledge of Deep Learning solutions: Convolutions, LSTMs, Transformers, Word Embeddings, Residual Connections, Transfer Learning, Model Pretraining and Fine Tunning, Graph Networks.
Good knowledge of natural language processing (Regexp, text preprocessing, indexing, vectorization tf-idf, Embeding representaions, Word2Vec, Glove, BERT).
Good knowledge of image processing and augmentation methods (Resizing, Hue shifting, Cropping, Denoising etc.).
Good knowledge of inner workings of SOTA architectures in Computer vision and NLP (GAN, VAE, BERT, GPT3, ResNET, U-Net, Syren).
Can create new Neural Network architectures to solve project’s problems.
Experienced in solving tasks with limited data.
Experienced in classic ML algorithms:
	Linear Models, Tree-based models, SVM, Boosting, KNN, Markov Chains, Bayesian Optimization

High dimensional data visualization: PCA, TSNE, UMAP
Clustering algorithms
Statistical hypothesis analysis
Experience working with 3D ML (SDF, Point clouds)
Experienced in implementing of Genetic algorithms.
Basic knowledge of Reinforcement Learning: Q-learning, Deep Q Networks
I am looking for a company to grow with and achieve goals with. Preferably with its own product. Not interested in banking and/or financial projects.
Position: Machine Learning Engineer
Category: Data Science
Experience: 4 years | English: upper


FaceDocID  (Nov 2018 - Jun 2020)
Description: Document parsing project that uses computer vision - object and text recognition, face comparison using classical CV algorithms, and CNN.
Responsibilities: Research existing solutions, test and implement them into the product, and assist with their integration into the mobile app.
Achievements: Implemented modules and algorithm successfully works in the mobile app.
Technologies and tools: Jupyter Notebook, OpenCV, Tensoflow, Keras, С++, Python.

AI PASS (Nov 2021 - Present)
Description:  Security System based on face recognition and identification.
Responsibilities: Search existence for ML solutions, benchmark and tune them, and integrate them into the project. Optimize product performance.
Achievements: Working product tested in a real-world office environment.
Technologies and tools: C++, Python, CD/CI, Tensorflow, Pytorch, GitLab.

Skipper Board (Nov 2020 - Jun 2022)
Description: Automated bait boat project - for a self-navigated vehicle able to automatically path routes. 
Responsibilities: Research domain. Develop, test, and improve path planning and navigation algorithms.
Achievements: Developed algorithm successfully planning a route and navigating a real-world boat in a natural environment.
Technologies and tools: C++, Python, Jupyter Notebook
Position: Machine Learning Engineer
Category: Data Science
Experience: 2 years | English: upper

Google HashCode 2017 Online qualification round. (My team's got Rank 546th in the world and 28th – in Ukraine.)
Google HashCode 2018, 2019, 2020.
February 2018 – March 2019 worked for Dreamy Chatelet.
A startup focused on computer vision and deep learning, where I created an emotion recognition model with imbalanced data along with data processing and data gathering.

June 2019 – Current working for Compassionate Engelbart.
Responsible for end-to-end NLP models development from data processing to deploying.

In terms of data processing, I've been doing:
- making data analytics using pandas;
-  text preprocessing and cleaning based on task requirements;
- artificial generation for text datasets using ml models, regex, and string functions;
- know how to lead data labeling process.

Developed models for multiple tasks:
- multilabel and multiclass classification with imbalanced data;
- one shot learning using siamese nns;
- text generation tasks;
Have a good understanding of how transformers work, experience with HuggingFace libraries. Main framework – PyTorch.

Understand the importance of project documentation.
 
Familiar with DVC for datasets and models versioning.

Deployed models using docker, flask/drf (worked with both, based on API requirements), and ONNX.
I am looking for a team, where I would be able to learn and grow as a professional. My passion is neural networks and math, new technologies, and challenging tasks.
Position: Machine Learning Engineer
Category: Data Science
Experience: 5 years | English: upper

Multiple peer-reviewed publications in international journals and conferences. 

Prokopalo Y. et al. Evaluation of lifelong learning systems //International Conference on Language Resources and Evaluation. – 2020.

Prokopalo Y. et al. Active correction for speaker diarization with human in the loop //Iberspeech. – 2021.

Gromov, V. A., Voronin, I. M., Gatylo, V. R., & Prokopalo, E. T. (2017). Active cluster replacement algorithm as a tool to assess bifurcation early-warning signs for von Karman equations. Artif. Intell. Res., 6(2), 51-56.
Finishing a PhD studies in the Le Mans University, France. PhD work in the domain of the speech processing. A strong experience with chaotic time series forecasting obtained also in academic environment.
Small experience of work on the analyst position and an internship in corporative environment.
Position: Machine Learning Engineer
Category: Data Engineer
Experience: 2.5 years | English: upper


Freelance | .Net / Machine Learning Engineer
06/2019 - present
One of the managers of the shared account. I also take the role of Team
Lead on projects related to my technology stack. (team of up to 5 people)

Video Object Recognition | Machine Learning Engineer
03/2022 - 06/2022
A neural network based on the yolov4 architecture for video object
recognition.

Article Generator | Machine Learning Engineer
10/2021 - 02/2022
A neural network for generating scientific articles in the field of cryptotrading.

Article Generator | Machine Learning Engineer
10/2021 - 02/2022
A neural network for generating scientific articles in the field of cryptotrading.

Image Clasificator | Machine Learning Engineer
05/2021 - 09/2021
A neural network for image classification using AlexNet.

Chat Bot | Machine Learning Engineer
01/2021 - 03/2021
A chat bot using Self-Attention architecture to conduct specific dialog

Duplicate Searcher | Machine Learning Engineer
09/2020 - 12/2020
A neural network using a Siamese architecture to identify similar
questions in forums.

Product Cluster | Machine Learning Engineer
05/2020 - 08/2020
Used K-Means and Affinity Propagation to cluster products by name and
description.

.Net Fullstack Developer
01/2020 - 05/2022
Worked as a .Net fullstack developer. I have done 10+ projects in various
companies such as CRM systems, backends for modern games, etc.
Position: Machine Learning Engineer
Category: Data Science
Experience: 2.5 years | English: upper


Full Stack Machine Learning Engineer with experience in the R&D field, mostly in Natural Language Processing, currently working on classification of user requests to chatbot/dialog assistant, and providing a full Machine Learning workflow from problem statement to production. Passionate about learning and can quickly learn and begin working on new topics independently. I’m eager to join a team with challenging tasks, ready to work both remotely and in-house, open to relocation.

• Project Chatbot / dialog assistant: Developed additional data preprocessing (text augmentation) to the existing pipeline, which increased the accuracy of the classification model by 4%
• Project ASR: Developed an error/typo fixing service for ASR pipeline which led to a 3% improvement in
classification accuracy
• Developed classical machine learning and deep learning pipelines for solving various NLP tasks (classification, clusterization, normalization, NER, etc)
Looking for a diverse team with an expertise in vary fields. I wish to grow as a professional working on challenging projects.
Position: Machine Learning Engineer
Category: Python
Experience: 0 years | English: fluent

C1 English, experience with Python, C++ and C#. Knowledge of OOP principles, Design Patterns and SOLID principles. 
Experience with processing data with Pandas and Seaborn and Matplotlib, and training models with Tensorflow Keras, elements of sklearn.
Experience with Django, Django ORM, Docker, Celery, Bootstrap, Pandas, NumPy, Matplotlib and TensorFlow
Here is the list of my projects:
Django Gamified Task Manager - I've made this tool for myself to gamify my time management process. The project has a PostgreSQL database. The frontend was made using Bootstrap and jQuery. It also features parallel tasks via Celery.

MNIST Handwritten Digit Recognition - I've trained a neural network which passed the MNIST Dataset Kaggle challenge. The neural network was implemented with TensorFlow, the data was extracted, processed and outputted with Pandas.

Socket Strings Game - this is a simple Python project implementing sockets with a little string game.

C++ DBMS - this is a C++ project aimed to get a grasp of the core principles behind the work of modern DBMSes. This project implements two tables from my Django Gamified Task Manager (connected with a One-To-Many relationship) with pure C++. 

Python Numeric Methods Projects - this is a series of Python scripts implementing numeric methods for:
a) Approximating the root of an analytically unsolvable equation (the equation is predetermined) with a set precision parameter (3 methods)
b) Solving a system of linear algebraic equations with the Simple Square Root method and Jacobi's Iterative method - uses NumPy and Matplotlib.
Position: Machine Learning Engineer
Category: Data Science
Experience: 2 years | English: intermediate

PhD Degree in Mathematics
Here's what I can bring to the table:  
Deep knowledge and experience in machine learning, neural networks, and data processing algorithms. 
Development and optimization of machine learning models for various tasks, including classification, regression, clustering, and natural language processing. 
Data analysis and preparation of datasets for model training. Working with popular frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and others. 
Testing, debugging, and optimizing models for maximum accuracy and efficiency. 
Integrating machine learning models into existing systems and developing user interfaces. 
I am ready to take on challenges of any complexity and confident in my ability to deliver high-quality solutions.   
If you need an expert machine learning developer for your project, feel free to get in touch. I am ready to discuss the details and start working immediately.  
Let's create innovative solutions together using machine learning!
Position: Machine Learning Engineer
Category: Data Science
Experience: 8 years | English: fluent


Hi! Experienced engineer with 8 years of software industry experience, including 5 years of R&D in machine learning. Worked in the United States and EU. Passionate about deep learning and signal processing. I have taken the leading role in a variety of ML R&D projects, with primary focus on automatic speech recognition, computer vision and audio signal processing. Among my responsibilities were designing ML models from scratch, improving state-of-art models from academic publications, training on AWS/GCP infrastructure, deployment on edge devices(such as Cortex-M). Mathematically oriented mindset. Fully proficient in Python and C/C++.  Author of several publications with IEEE in the ML field.

Education:
MSc. in Machine Learning and AI (Aalto University, Finland)

Selected Employment History:

1. NeoSensory, Inc.  (Houston, USA, Jan 2020 - Nov 2022)
Title: Algorithms Engineer
- Designing and managing the whole ASR(Automatic Speech Recognition) pipeline, from feature extraction to model deployment.
- Designing Kaldi, CTC and RNN-T based models for ASR.
- Optimizing algorithms and ML infrastructure for large scale data processing.
- Optimizing and converting speech recognition models from Python to C/C++ to run on edge devices (Cortex-M)

2. ZenRobotics (Helsinki, Finland, Jul 2019 - Jan 2020)
Title: Machine Learning Developer
-Working on image recognition and semantic segmentation with ResNets, VGGs, etc.
-Implementing and improving scalability of the machine learning algorithms based on the AWS technologies. 
-Scaling up and optimizing training in the multi-GPU environment.

3. Speechly (Helsinki, Finland, Jul 2019 - Jan 2020)
Title: Speech Recognition Trainee

- Tuning and implementing different components of the CTC acoustic model in PyTorch. Multi-GPU training.
- Language modelling with OpenFST framework. 
- Data processing pipeline with Docker, Kubernetes and GCP.

4. Scopic Software (Kyiv, Ukraine, Dec 2013 - Jul 2016)
Title: C++ Software Engineer

-Implemented various digital signal processing algorithms for digital audio workstation SoundBridge;
-Implemented image processing algorithms for computer tomography software.
- Other smaller C++ projects

5. TrueConf (Donetsk Ukraine, Sep 2012 - Apr 2014)
Title: Junior C++ Algorithm Engineer 

- Improved Automatic Gain Control, Echo Cancellation, Noise suppression for video-conferencing software
- Prototyped 3D face recognition and passport recognition systems
- Optimized video codecs performance
Position: Machine Learning Engineer
Category: Data Science
Experience: 5 years | English: fluent


I am a Data Scientist and Machine Learning Engineer with 3 years of experience and about 5 years of programming experience. I have worked with tools like scikit-learn, Pandas, Numpy, Matplotlib, Seaborn, Tensorflow, Keras, OpenCV, Pillow, nltk, Tableau, Google Analytics API, Google Ads API, etc. 
Fluent in Azerbaijani, English and Russian.
I don't want to do other people's work
Position: Machine Learning Engineer
Category: Python
Experience: 3 years | English: intermediate

I am a Full Stack Web Developer in the Analytic team. Implementation Google Analytics, ELK in the marketplace projects.  I worked with the Django and DRF on the backend side. I was a React developer on the Frontend side. Administration  PostgreSQL database. Creation Bash scripts for the automatization developing process. Developing scrapers. Creation unit, integration, load tests for frontend, and backend side. Analyzing server operation data. I have developed convolutional neural networks (CNN) for recognizing surface ship images for robotic water monitoring complexes.
I am a Full Stack Web Developer in the Analytic team. Implementation Google Analytics, ELK in the marketplace projects.  I worked with the Django and DRF on the backend side. I was a React developer on the Frontend side. Administration  PostgreSQL database. Creation Bash scripts for the automatization developing process. Developing scrapers. Creation unit, integration, load tests for frontend, and backend side. Analyzing server operation data. I have developed convolutional neural networks (CNN) for recognizing surface ship images for robotic water monitoring complexes.
I would like to work in data science and machine learning direction.
Participation in creative projects.
Work in a cool and friendly team.
Work with the latest technologies.
Communication with IT professionals, mutual training.
Personal development, professional growth.
Position: Machine Learning Engineer
Category: Data Science
Experience: 3 years | English: fluent


I am a highly enthusiastic Machine Learning Engineer with extensive experience in Computer Vision and Natural Language Processing. Currently studying the fourth and final year of B.Sc. in Computer Science program at University of Strasbourg and French-Azerbaijani University where I have gained loads of theoretical and practical skills such as low-level programming, computer architecture, data structures and algorithms, linear algebra etc., as well as developed my passion to Artificial Intelligence and Machine Learning. I am especially interested in mathematical optimization and Deep Neural Network architectures. Apart from my academic background, I have participated in various hackathons, coding and start-up competitions involving AI and ML technologies which helped me to develop leadership and teamwork skills as well as understanding of business logic. I have also been working on ML-related projects both as a freelancer and as a full-time worker. In addition to my main specialization, I also have strong Software Engineering and Software Development skills, which helps me to deliver AI/ML technology in a way needed for real-life tasks.
Position: Machine Learning Engineer
Category: Data Science
Experience: 2 years | English: fluent

Solutions Architect Professional (AWS)
Professional Data Engineer (Google Cloud)
Professional Machine Learning Engineer (Google Cloud) Tensorflow Developer
Kubernetes Developer (CKAD)
I am a Machine Learning Engineer / Data Scientist with 2+ years of commercial experience working as a:
- ML Engineer: present. I build ML solutions with Google Cloud (primary), on-premises, and AWS. Have a portfolio of 5+ completed projects.
- ML engineer (additionally covered Data Engineer responsibilities). I built a BI / ML system on Google Cloud. I managed 30+ ML models in production.
  Also, I am a certified cloud professional specializing in building complex data pipelines using GCP and AWS.
  Additionally, for 2.5+ years, I've been building research-oriented noncommercial Data Science projects. With a major focus on Computer Vision tasks, I can independently work on NLP and RL problems.
The job I am looking for provides a flexible schedule, the possibility to receive a salary while being in Europe, and a challenging workload that focuses on building AI solutions.
Position: Machine Learning Engineer
Category: Data Science
Experience: 7 years | English: fluent


I am a machine learning engineer mostly focused on computer vision problems. I've been working on both managerial and individual contributor positions, delivering state-of-the-art ML solutions in various domains from adtech to manufacturing.
Position: Machine Learning Engineer
Category: Data Science
Experience: 3 years | English: fluent


I am a Machine Learning Engineer with 4 years of experience in the development of software (mostly Java).  I am keen on the fundamentals of math analysis (chain rule, optimization, finding the minimum of the function), statistics (normalization, distributions - Lopitale, Poisson, Laplaise), discrete math (graph theorem, trees, boolean algebra, graph algorithms), and linear algebra (matrises, solving linear equations, finding basis of vectors) and Computer Science of course (OOP, Data Structures, Logic circuit theory, Algorithm design)
My current specialization is computer vision and image processing using Yolo, openCV on custom collected datasets. Also sometimes use basic CNNs and have patrial experience with LoRA
I am expecting a position of ML Engineer (or Data Scientist, the naming can vary because Machine Learning is a subdomain of DS) with respectable compensation.  
I have good experience of working in Enterprise so I think I can fit there the most.