lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Computer Vision Engineer
Category: Data Science
Experience: 6 years | English: intermediate

Master in Aerospace Engineering, major: signal processing
Custom implementation of neural networks using clear C, for low power devices
Computer Vision Engineer with 6 years of experience. 

Worked with:
- object detections
- data segmentation
- object tracking
- camera calibration
- Kalman filtering

Participated in the development of:
- building powerful detection system based on Transformers
- Camera registration pipeline with single camera
- Audio anomaly detection system
- Indoor navigation system
Interesting and non-trivial tasks in machine learning, computer vision and deep learning
Position: Computer Vision Engineer
Category: Data Science
Experience: 5 years | English: fluent


- Constructed two thermal face datasets with annotated bounding boxes and facial landmarks, implemented thermal face detection and facial landmark prediction models. Keywords: Python, PyTorch, LabelMe, dlib, YOLOv5, YOLO5Face, U-net. 
- Developed a data-collection and preprocessing pipeline to construct a multimodal dataset of visual and thermal images, trained GANs to translate thermal images to the visible domain to apply visual face recognition models.
Keywords: MATLAB, ROS, Python, PyTorch, CycleGAN, CUT. 
- Developed a data-collection pipeline to collect signals from Wi-Fi access points and Aruco markers, trained various ML and DL models to implement WiFi-based indoor localization. Keywords: C++, Python, ROS, Keras, Linear Regression, Random Forest, DNN, RNN. 
- Developed a network-based stochastic epidemic simulator to model the spread of the COVID-19 epidemic in Kazakhstan and outcomes of different intervention strategies. Keywords: Python, Qt Creator.
Position: Computer Vision Engineer
Category: Data Science
Experience: 4 years | English: fluent


-Currently tackling object detection, object tracking and pose estimation problems for real-time applications and meant to run on an edge device.
– Researched and developed custom object detection and OCR models for information retrieval from document photos.
– Created an efficient face labeling tool using unsupervised machine learning techniques.
– Worked on developing a chatbot system.
Position: Computer Vision Engineer
Category: Data Science
Experience: 1.5 years | English: upper

**Latest Pet-project:**

Steel Defect Segmentation:

During this project (data from Kaggle) it was interesting for me to explore training opportunities with a small dataset with unbalanced TP/TN classes for segmentation.
I went through different encoders for UNet and explored impact of different segmentation losses for unbalanced data on training process. 

Results can be found on my GitHub.
Data Scientist with 1.5-year commercial experience in Computer Vision field and classical ML, including image segmentation, sensible fine-tuning tasks, EDA and building different architectures from scratch.

Also, I have some theoretical knowledge in GANs (hobby field).

**EMPLOYMENT HISTORY**:

 - Computer Vision Engineer at Under NDA, Kharkiv (September 2020 — August 2021)

Worked on a mobile camera app (B2C product, under NDA).
The main task was to implement several architectures from papers and to find the ones that can be fine-tuned best with the highest Wasserstein metric value (optimal backbone and custom head) for the definite CV task.

The models should have been optimized and worked in real time. (frame flow from iPhone camera)

 - Computer Vision Intern at Quantum, Kharkiv (June 2020 — August 2020)

Gathered experience in image segmentation of soil erosion from satellite data.
The tasks were to prepare data from Sentinel-2 and to find the best architecture for the task.

Higher education:
- V.N. Karazin Kharkiv National University, faculty of Mathematics and Computer Science
Position: Computer Vision Engineer
Category: Data Science
Experience: 2.5 years | English: fluent

Developed a full application that, using a neural network, controlled different audio parameters based on human motion.
- Developed fraud detection models for a major e-commerce website (feature engineering, model training, deployment, monitoring).
- Trained human pose and hand pose estimation networks, compressed these models and optimized them to run on edge devices, developed demo applications that allowed for analog control using motion data.
- Created systems for 3d high-definition plant reconstructions using both RGB-D integration and stereo vision combined with latest Deep Learning methods (NeRF-like models)
Product company, preferably an experienced team with well set-up infrastructure (data processing, testing, deployment). Not interested in marketing or finance-related businesses.
Position: Computer Vision Engineer
Category: Data Science
Experience: 5 years | English: fluent


Experienced CV Engineer and Data Scientist with expertise in developing and implementing machine learning and computer vision models for fraud prevention and content moderation. Skilled in Python, SQL, TensorFlow, PyTorch, and Flask/FastAPI for building RestAPI services and deploying models in production. Proven track record in improving fraud coverage and service levels, preventing potential fraud attempts. 
Looking to utilize my skills and experience in a challenging role to drive innovative solutions in machine learning and computer vision.
I prioritize staying current with industry trends, particularly in the rapidly evolving fields of ML and CV. I am seeking a company that values continuous learning and offers opportunities to stay up-to-date with the latest technologies and techniques.
Position: Computer Vision Engineer
Category: Python
Experience: 3 years | English: upper

Fast custom autofocus for plain text. Fast and stable face tracking algorithm. Room segmentation algorithm for floor plans.
Feb 2016 - Aug 2018. R&D Engineer, IT-Jim, Kharkiv, Ukraine. Participated in development of Hybrid Indoor Localization and Navigation System. It was based on the digital processing of iBeacon BLE data and smartphone sensors data. The processed data were fused providing 1-meter location accuracy.
Sep 2018 – May 2021. Computer Vision Engineer, IT-Jim, Kharkiv, Ukraine. Developed and tested Computer Vision algorithms: object detection and tracking, pattern recognition, image stitching, segmentation, remote estimation of biomedical parameters. Minor experience in Data Engineering in Python (100 000+ samples, pandas, csv, xls): filtering, classification etc. Prepared documentation and reports for clients.
Jun 2021 - Aug 2021. Software developer, GlassFit, Florida, USA. Python algorithm for the automatic dressing of 3d human models. Developed the code for automatic loading, attaching, adjusting, and saving human and dress fbx-models.
Get more experience in Computer Vision, Machine Learning, Deep Learning.
Position: Computer Vision Engineer
Category: C++
Experience: 11 years | English: intermediate


Having overall 12+ years of working experience in I.T.
Experience in C++, Java, Python, image processing, cross-platform, embedded systems, automotive, web programming.
Full life-cycle of software development projects.
Interested in image processing, computer vision, machine learning.
Position: Computer Vision Engineer
Category: Python
Experience: 1.5 years | English: upper

I believe my biggest achievement so far is getting hired by one of the largest IT companies in Ukraine with no prior experience.
I am proficient and result-oriented Python Software Engineer with strong Computer Science and Mathematics background. I have experience developing small and medium-sized applications using Python technology stack, as well as large enterprise applications with AWS tools in a serverless manner. I have broad experience solving Computer Vision problems, such as detection, single / multiple object tracking, classification, super resolution. In addition I have fundamental knowledge of multiple view geometry, SLAM, GANs and OCR.
I am always eager to contribute to interesting projects, which give me an opportunity for personal growth. I am extreamely motivated to gain some experience in robotics and/or autonomous driving. I would also be glad to develop a promising CV project with cloud services(AWS) technology stack involved.
Position: Computer Vision Engineer
Category: Data Science
Experience: 2 years | English: upper


I have expertise in classic computer vision, specifically in 3D reconstruction using structured light and metrology of 3D objects. My primary programming languages are Python and C++, but I am also open to expanding my language stack.

In my previous role, I was responsible for researching new approaches to 3D scanning, validating their effectiveness, implementing them, and integrating them into the SDK. I had a lot of hands-on experience working with various edge devices such as Jetson Nano and peripherals, including cameras, projectors, human-machine interfaces (HMIs), programmable logic controllers (PLCs), and more.

Additionally, I have a significant amount of noncommercial experience in machine learning, particularly in the field of computer vision. I co-authored a publication accepted by the CVPR 2021 Workshop, focusing on Binary Neural Networks (BNNs).

By leveraging my expertise in classic computer vision, proficiency in Python and C++, and experience with edge devices and peripherals, I have successfully contributed to the research and implementation of 3D scanning technologies.
Position: Computer Vision Engineer
Category: Python
Experience: 5 years | English: upper


I have teach Computer Vision, Deep Learning and Machine Learning to hundreds of students in academic life and different online platforms. I have almost 5 years experience about teaching Computer Vision and all of them are very well satisfied.

I have completed many projects in different Computer Vision areas like:

Image Classification
Object Detection
Image Segmentation
Face Recognition
Optical Character Recognition
Lane Detection System for Self Driving Cars
Position: Computer Vision Engineer
Category: Data Science
Experience: 1.5 years | English: fluent

Most actual repositories on my GitHub (ArtemKamantsev):
ds_stack_demo - demo project with unit tests and notebooks showing peculiarities of tools popular among data scientists.
ConcurrentPointwiseRanking - my bachelor's research compares a new proposed approach to learning to rank with a
classical one.

I am keen on Olympiad programming and regularly participate in programming contests. Our team has taken part in the ICPC Southeastern Europe Regional Contest twice.
I have worked on several projects in the NLP area. 
Task: named entity recognition on OCR-ed invoices/checks/legal contracts.
Main achievements:
− Custom clustering algorithm was developed.
− Line breaking algorithm for OCR-ed documents was developed. Stability to small vertical and horizontal document folds was achieved by linear regression and moving averages.
− Application of regular expression-based rules and the Random Forest classification model overperformed the NER model from the SpaCy library.
− Two ways of interaction with the application were developed: webserver (Flask and Waitress) and AWS Lambda (created from a docker container and accessed via API Gateway)

I have finished these projects on my own with consultations and task prioritizing by the project manager. I have created tasks for some of these projects.

Also, I have worked on a project in the CV area.
Task: automatic number-plate recognition. 
Main achievements:
− Dataset has been expanded by augmentation, and data found on the Internet. The CRNN model has been trained and evaluated successfully.

On this project, I collaborated with another developer.

Before I started to work as a machine learning developer, I had been working as an android developer and as a web developer (react/node.js) for one year in each position.

My career goal is to achieve a Senior level in the Computer Vision field and to dive into the one of areas related to natural science.
I would like to work on tasks in the Computer Vision field.
Position: Computer Vision Engineer
Category: Data Science
Experience: 11 years | English: upper

Hard to say, what I can consider as my great  achievement. Long professional way with a lot of projects first of all. Also some interesting or unique projects like motion detection in real time for different purposes, working with scientific researches, with very specific math for crypto sphere in combination with DNN, CV for robots ans IoT (also exactly working with different MCU and MPU).
And many other things. 15 years - long term and my main achievement is large extreme experience and ability to work with real hard projects and do this successfully.
I'm developer with more then 15 years experience in big projects, based on different stacks. Also have great experience as team leader and projects curator. Prefered languages: Python and C/C++.
My main professional sphere now is DNN, especially Computer Vision for different tasks: from simple things like classification to motion recognition in real-time. All of this not only for powefull computers or servers/clusters, but also for small devices like Jetson Nano. Combining all of these with knowledge in embedded development also is present in my work history.
I prefer to work with CV and hard tasks, so one of first thing in project for me is it's complexity. Very interested to work with project based on some researches or implementation of scientific works.
And main sphere of interest is using CV for drones and so on.
Position: Computer Vision Engineer
Category: Data Science
Experience: 6 years | English: fluent

I was among 5 first engineers and a second ML Engineer to join PiñataFarms. Setting and building the engineering vision of a startup. Helped to build the research team of 10 people. Started the in-house data labeling and acquisition team.

Developed a CV model for Interactive Video Segmentation that is running on modern mobile devices with a real-time performance and is now used by thousands users every day.
I'm responsible for building the core technology behind the PiñataFarms meme creation platform.
Built multiple Computer Vision models and algorithms for mobile platforms used by thousands users every day, specifically: Head Detection, Facial Keypoints Detection, Interactive Segmentation, Saliency Segmentation, Head Segmentation
I am looking for a role where I can significantly impact a product in a fast-growth environment. I would love a position where I can come up with an idea, bring it to life, and integrate it into the product. It's important to me to be surrounded by like-minded people working on a single mission.
Position: Computer Vision Engineer
Category: Data Engineer
Experience: 1.5 years | English: fluent


I specialize in detecting and preventing face spoofing attacks to secure facial recognition systems. My approach involves training a Convolutional Neural Network (CNN) using PyTorch to differentiate between genuine and fake facial data. I also incorporate motion detection using Dlib and OpenCV to ensure the presented face is physically present. To optimize performance, I fine-tune the model and optimize its parameters. I deploy the model on AWS EC2 for scalability and use FastAPI for building robust APIs. My goal is to develop an effective system for countering face spoofing attacks and safeguarding facial recognition systems.
Position: Computer Vision Engineer
Category: Python
Experience: 1 years | English: intermediate

In 2022, I graduated from KPI with a bachelor's degree in software engineering. In the same year, I entered the master's program in the same specialty. I am currently taking a course at DataRoot University. In addition, I completed the Automotive BaseCamp in Globallogic (C/C++) course.
January 2022 - now Junior Computer Vision Engineer at DeepX. My main work is the creation of modules responsible for business logic. Classic computer vision methods and neural networks (yolo, efficientnet, resnet) were used to implement these modules. In addition, I was also involved in the creation of a dataset and testing of written modules.
Position: Computer Vision Engineer
Category: Data Science
Experience: 1.5 years | English: intermediate

Participation in Kaggle competitions
Prize-winner of Ukrainian Olympiads in Mathematics in high school
Junior Computer Vision Engineer at Walkout technologies          		     11/2021-02/2023
Dealing with camera calibration, creating a 3D system with point cloud to identify bad camera calibration. I also worked on image processing with OpenCV. Developed computer vision algorithms to detect and track objects of interest in video streams using OpenCV. Worked with structure from motion and images matching.
At the moment, I would like to do computer vision. Develop neural networks for object recognition, camera calibration, 3D reconstruction.
Position: Computer Vision Engineer
Category: Data Science
Experience: 9 years | English: upper

- build real-time non-GPS based navigation for UAV  (with up to 10-20 meters accuracy on < 5 km flight in perfect weather conditions)
- build QR-code based indoor navigation in warehouse with additional sensor fusion (IMU, wheel encoders) with 10 cm accuracy on 1.8 m/s speed.
- setting up hardware-accelerated video processing pipelines for multiple video sources
- preparing hardware-accelerated deep learning models for edge devices inference
Most relevant is 2 year experience in Robotics developing non-GPS navigation for ground-based robot (in warehouse) and UAV (outdoors). 
Experience with: Ardupilot (a bit PX4); ORB-SLAM/VINS-Mono (Fusion); Simulation environments (AirSim, Gazebo, Ardupilot SITL); Visual/Visual-Inertial navigation;
Military Technologies in Robotics (both flying and ground-based) software development (for example, flight controllers development, visual non-gps navigation, loitering, path planning). The project can be commercial, government organization, or on volunteer-based.
Position: Computer Vision Engineer
Category: Data Science
Experience: 3 years | English: upper


My main speciality is computer vision. I worked with the following tasks: 3d object recognition, Object Detection, Image Generation, Super Resolution. Besides, I also worked with natural language processing and signal processing problems.
As for the tech stack, preferred programming languages are Python and C/C++. I am experienced in using Pytorch, TensorFlow, and a bunch of different libraries. In addition, I worked with Unreal Engine 4 to adapt it to solving machine learning tasks.
I am an integral part of the team where I work. On top of that, I have experience in leading projects.
I want to find a project to invest my time and knowledge in. Interested in projects that imply working with 3d graphics.
Position: Computer Vision Engineer
Category: Python
Experience: 4 years | English: upper


Over five years of software development. Started career from web-development and distributed client-server applications. Later has switched to 3d graphics and computer vision tasks. Experienced with Computer Vision area and 3D visualization (last three years participated in project, which was tightly connected with Augmented Reality technology).

Specialties: Computer Vision, Augmented Reality, Image processing.
Position: Computer Vision Engineer
Category: C++
Experience: 11 years | English: upper


- Parallel programming: multi-threaded, massive parallel reconfigurable devices and proprietary technologies,
- Digital Signal/Image/Video Processing: telecommunications, multimedia, video and imaging algorithms with CUDA and OpenCV,
- High performance computing, deep code optimization and analysis, MPI,
- Embedded platforms programming: Linux apps with C, Assembler,
- Board architecture specific library, design, simulation and UI in Simulink environment,
- IoT applications with arduino, raspberry/banana PI, Jetson Nano/Nx
- Synthetic Aperture Radar data processing, digitization, visualization,
- First, second and third level radar data processing
- Flight data visualization and UAV controller software
I expect C/C++ signal processing, computer vision and embedded firmware development projects.
Position: Computer Vision Engineer
Category: Data Science
Experience: 3 years | English: upper


Project description 
Landslide detection and bare rock segmentation using Landsat multispectral images, DEM data from LIDAR and HR data from GeoEye1, WorldView3. 
Designed and implemented models for bare rock segmentation (UNet, SegNet, CNN, ReSeg, ResNet), pixel-based classification and object-based classification (unsupervised segmentation + feature extraction + classification using RF and SVM)
Extracted feature (from DEM data): curvature, TPI, geomorphons, texture, roughness, etc. 
Prepared and published a paper in Remote Sensing Journal 

Project description 
Shopping Chatbot (StyleHacks). Chatbot for an iterative search of a product with a query refinement.
Trained models for word embeddings (LSTM, ELMO, BERT) 
Implemented model for semantic search (text to image) (DeVISE)
Implemented model for sentence structure analyzing and splitting complex sentences

Project description 
Recommender system for fashion and clothes sketch generation.
Designed models for clothes sketch generation (Genetic algorithm, GAN).
Design models for sketch generation using key points and user body measures

Project description 
House window detection for online blurring. 
Designed models for house window detection (Hough Transform + classification using CNN, HOG + SVM, Haar cascades, YOLO, SSD, MobileNet)
Technologies
Python.

Project description 
Prediction of air pollution in Kryvyi Rih based on 5-year data.
Designed models for anomaly detection,
Designed models for forecasting of air pollution (ARMA, ARIMA, SARIMAX)
Tricky tasks
Comfortable offices  within walking distance from a subway station
Flexible working hours
Position: Computer Vision Engineer
Category: Data Science
Experience: 0.5 years | English: fluent

Greetings, I have few month expereince as a computer vision engineer, was participating in development of the anti-fraud vision system, 4 monthes as a c++ developer(low-level and computer vision) and a 1+ year of experience as a Unity3D game developer,I have had participated in development of http://www.bigfishgames.com/games/8615/gnomes-garden/ and https://play.google.com/store/apps/details?id=com.reuno.zombierun&hl=ru, but now i feel very passionate about machine learning and computer vision, so my next goal is becoming a computer vision expert. I definitely want to become a highly qualified computer vision engineer one day. In 2016 I was participating in an augmented reality/ai hackathon, became a finalist.
I have been a participant in a vision hack (Computer Vision) hackathon also.
Summer 2017 I have recieved a Bachelor's degree in computer science(software engineering faculty)
Python, Machine Learning, Deep Learning, TensorFlow, Keras, Neural Networks, caffe2, OpenCV, C++, C++11, STL, cmake, Linux, Visual studio, C#, .NET, Machine Learning, Unity3d, Akka.NET, Vuforia, Augmented Reality, Actor model, OOP, OOD
Ability to learn and grow as a computer vision/machine learning engineer
Position: Computer Vision Engineer
Category: Data Science
Experience: 5 years | English: fluent


- Remote Sensing Data Analytics: Retrieved temperature, soil moisture, etc., from satellites and provided high-level products.
- Computer Vision for Indoor Environments: Specialized in scene recognition and spatial analysis.
- Indoor Scene Spatial Understanding: Utilized data from mobile devices to enhance Augmented Reality (AR) applications.
- Depth Prediction and Object Detection: Conducted object parameter regression, 3D model reconstruction, and tracking.
- Mobile Computer Vision Deep Learning Projects: Developed several projects specifically for Qualcomm devices.
- Dataset Retrieval and Generation: Proficient in collecting and creating datasets for various applications.
- Full Pipeline Development for ML and DL Applications: Skilled at constructing end-to-end pipelines for Machine Learning and Deep Learning projects.