Candidates 5
$4500 / mo
≈ $54000 / year net
Data Scientist
Ukraine · Odesa · 8 years of experience · Advanced/Fluent ·Published 10 April
Ukraine · Odesa · 8 years of experience · Advanced/Fluent ·Published 10 April
7 years of experience with Data Science / Machine Learning;
Commercial experience with: time series, tabular, automated trading systems, signal processing, clustering, NLP, big data, computer vision
Target locking and tracking with computer vision (opencv, numpy);
FPV target acquisition simulation using visual trainer game;
Sounds source localization using microphone array (Python, C++);
Loitering projectile telemetry processing (Python, SciPy).
$6000 / mo
≈ $72000 / year net
Lead Data Scientist / PM DS
Ukraine · 8 years of experience · Upper-Intermediate ·Published 31 March · In passive search
Ukraine · 8 years of experience · Upper-Intermediate ·Published 31 March · In passive search
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**Team Leadership and Project Management:**
As a Team Lead in the realm of machine learning, I successfully led a team in the development of a groundbreaking Foreground Image Segmentation and Style Transfer project. Responsibilities included:
- Leading and managing a team of machine learning engineers.
- Providing mentorship and guidance to foster professional growth.
- Collaborating with stakeholders to define project scope, timelines, and resource allocation.
- Breaking down complex projects into actionable tasks for effective team distribution.
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**Project Highlights:**
1. **M&A Recommendation Systems:**
- Researched and developed machine learning solutions to enhance analytics for M&A specialists.
- Utilized a technology stack including Python, TensorFlow, Pytorch, Azure ML, and Azure DevOps.
2. **Tax Secures Machine Learning Models:**
- Conducted groundbreaking research in NLP to improve summaries for tax services.
- Built and provided machine learning models for the financial sector, utilizing a comprehensive technology stack.
3. **Algorithmic Trading Execution Program:**
- Conducted in-depth market studies and quantitative analysis.
- Developed modules for order execution and implemented machine learning pipelines for optimal predictions.
4. **NLP Expertise:**
- Specialized in NLP, with responsibilities ranging from parsing and preprocessing to creating end-to-end data flow pipelines.
- Applied a rich technology stack involving NLTK, Spacy, GloVe, Gensim, TensorFlow, and Keras.
5. **Semantic Images and Easy Motherboards Projects:**
- Led projects involving image collection, preprocessing, and the development of advanced neural networks.
- Applied a range of technologies including OpenCV, NLTK, Spacy, GloVe, TensorFlow, PyTorch, and more.
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**Data Science and Analysis Achievements:**
**NFL Match Outcome Predictions:**
- Led a project predicting match outcomes in the NFL, employing advanced data cleaning and machine learning techniques.
- Utilized a diverse technology stack including BigQuery, PostgreSQL, Tableau, and more.
In mobile applications, I led the development of a shooter training app, focusing on user-friendly design and reduced computational time. As an architect of an algorithmic trading program, I conducted extensive market studies, resulting in finely tuned software with optimized order execution.
Returning to data analysis, I researched and implemented data-driven strategies for advertising, significantly enhancing campaign performance. In the realm of data science, I led a project predicting NFL match outcomes, highlighting our team's proficiency in leveraging a diverse technology stack.
Transitioning to the Tax Secures project, I improved summaries for tax services using NLP, showcasing a commitment to cutting-edge technology. In M&Q, I led the M&A Recommendation Systems project, delivering advanced analytics tools for strategic decision-making.
Concluding the journey, I led the Foreground Image Segmentation and Style Transfer project, achieving revolutionary solutions in image processing through collaborative efforts and meticulous project management.
$850 / mo
≈ $10200 / year net
Data Scientist, Researcher, ML Engineer
Ukraine · Odesa · 9 years of experience · Intermediate ·Published 23 March
Ukraine · Odesa · 9 years of experience · Intermediate ·Published 23 March
OS: Windows, Linux
Programming: C, Python (GraphLab, Pandas, Numpy .....), R
Clouds: AWS EC2
RDBMS: MySQL
VCS: GitHub
LMS: Moodle, Google, MS Teams
Microcontrollers: Atmel, STM32, Arduino, RPi
150+ науково-методичних публікацій;
7 навчальних посібникв;
Стажування в Luxoft, KeepSolid (2020);
Сертифікати семінарів Microsoft, Luxoft, PM 2013-2023 рр.
Certificate of "EXPEDITION PROJECT MANAGEMENT" COMPLETE COURSE (trainer Anatoly Savin);
Онлайн-курси Прометеус, Stepik;
Організація та супроводження корпоративного ресурса дистанційного навчання (15+);
Організація семінарів, конференцій (20+);
Бажана посада, з наявністю досвіду науково-дослідницької роботи.
$2000 / mo
≈ $24000 / year net
DevOps Engineer
Ukraine · Odesa · 9 years of experience · Intermediate ·Published 17 March
Ukraine · Odesa · 9 years of experience · Intermediate ·Published 17 March
2 years of experience in developing performance project with technologies: Python, Locust, Pandas
Currently I am working as DevOps with technologies such as: Python, Azure, Jenkins, Ansible, Grafana
Had experience working with: Kubernetes, Docker, Jenkins, Grafana, Kibana, AWS, Azure, Postgres, Redis
$5000 / mo
≈ $60000 / year net
Machine Learning Engineer
Ukraine · Odesa · 6 years of experience · Upper-Intermediate ·Published 27 February
Ukraine · Odesa · 6 years of experience · Upper-Intermediate ·Published 27 February
The biggest part of my work was done in the field of CV. The performance and the size of DL models have always been the most important part.
Developed segmentation, classification, and object detection solutions for PDF Expert and ScannerPro, which run in production. One of the key ScannerPro algorithms was reinvented by my initiative. Also custom lightweight YOLO-like and UNet-like models were built from scratch using Keras. Another big task was to reinvent the pen-annotation tool algorithm for PDF Expert using computational geometry. Additionally, I conducted research in the field of NLP for Spark. Read DL course for Readdle employees.
Freelance project, December 2017 — February 2018
Implemented approach from “Attention is all you need” for machine translation using numpy and tensorflow, as a part of the project for translation web-service.
Autobrains.ai — Deep Learning Engineer, January 2022 — July 2023
Implemented from scratch SOTA lane detection algorithm(2105.13680) using PyTorch.
As a part of the object detection team, trained and evaluated models for different object detection tasks on a daily basis.
Implemented solution for sub-classification task on the intersection of classification, object detection, and transfer learning fields.
Work on an internal auto-labeling tool using big object detection networks, transfer learning and custom approaches for 3D configuration detection of vehicles. Worked with mmdetection.
I have BS and MS degrees in applied physics and math.
- Created a detection algorithm for the PDFExpert macOS app with 100% accuracy.
- Created a custom object detection solution that meets KPIs even with a very small dataset for an autonomous vehicle task.
- Implemented the "Attention Is All You Need" paper for a freelance project back in 2017.