With over 15 years of experience in the field, I am a seasoned Machine Learning Engineer and Senior Software Engineer specializing in Computer Vision, Predictive Analysis, and Large Language Models. My expertise spans diverse domains, from human detection and tracking to text-to-code generation and financial forecasting. I have a proven track record of designing, training and deploying state of the art deep learning models to address complex challenges and deliver reliable solutions. All of my machine learning projects are deployed utilizing MLOps methodologies.
Languages: C#, Python, Java
Tools: Tensorflow, TF Lite, Keras, PyTorch, OpenCV, scikit-learn, Docker, NLTK, Flair, HuggingFace, pandas, matplotlib
Key skills: software engineering and system design, implementing, training and deploying ML models and pipelines, probability and statistics, data modelling and evaluation, working in Agile, ML Ops
Specialization: image processing, object detection, content-based image retrieval, fine-tuning LLMs, RAG, tracking and counting for video surveillance systems, sentiment analysis, point clouds instance segmentation, deploying ML solutions on edge devices
Example projects in which I've participated:
1. Predictive analytics for identifying industrial assets anomalies
2. Human detection, tracking and counting for video surveillance systems
3. Fine-tuning LLMs for text to code generation with a help of RAG pipeline
4. Deep reinforcement learning platform for autonomous drone navigation
5. Content-based image retrieval system for products in promotional magazines
6. 3D point cloud instance segmentation in 2D/3D CAD software platform
7. Multiple product detection on retail shop shelves in real-time application
8. Sentiment analysis system based on web crawling data