Igor D.
Machine Learning Engineer @Ptolemay Llc
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WORK HISTORY
Machine Learning Engineer @Ptolemay Llc
Predicted business outcomes by developing advanced mathematical and statistical techniques- Helped computer technology meet wide-ranging needs of different departments by actively collaborating with senior leaders to understand and meet unique requirements- Cleaned, prepared and transformed data for advanced machine learning projects- Produced clean, error-free code to meet aggressive timelines- Resolved errors through close collaboration with the quality assurance team- Worked on new products and updated functionality of existing software systems- Optimized software usability and functionality by developing targeted algorithms- Approved skills on Facial Recognition and Verification project- Innovated algorithm for semantic analysis using Natural Language Processing methods- Used Google Tesseract with further custom Named Entity Recognition models for Business Card analysis- Implemented projects using different custom Stable Diffusion models, resulting in improved model performance and efficiency- Hands-on experience using OpenAI API for GPT models, including fine-tuning and deploying pre-trained models for natural language processing tasks.
EDUCATION
Technical University of Munich
Master's degree
Lomonosov Moscow State University (MSU)
Bachelor of Applied Science - BASc
ABOUT IGOR D.
3.5+ years in deep learning research and development: GANs, autoencoders, detection/segmentation networks, NLP with transformers, reinforcement learning, big data, and data engineering- Strong background in Python, C++, PyTorch, TensorFlow, FastAPI, Docker, MLflow, Airflow, SQL, NoSQL, graph databases, and vector databases- Production experience building a high-load click-prediction service with <10 ms model inference- Hands-on work with 3D automotive scans for error analysis and comparison- Research: Overcoming Catastrofic Forgetting. HyperGPT: Generating novel 3D shapes via neural field representations using Transformers- Member of the two-time regional ICPC champion team and second-degree diploma at the semifinal stage.
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