• Implemented MLOps practices and tools on a corporate cluster, significantly enhancing team performance.• Developed a document‑based chatbot using Retrieval‑Augmented Generation (RAG) and LLM fine‑tuning. Overcame challenges in parsing tables and images, achieving high accuracy in responses across a large document set.• Worked with generative models, including GANs and Diffusion models. Successfully developed several diffusion models using LoRA for image generation in the fields of oil and gas, as well as aerial photography. Expert validation revealed that in over 80% of cases, the generated images were indistinguishable from real ones.• Led the recruitment and mentorship of ML specialists in the department.

• Participated in the end‑to‑end development of multiple products, from initial design to successful implementation in customer infrastructure.• Provided technical leadership in project design and development.• Collaborated with cross‑functional teams to gather and analyze requirements and plan the development process.• Designed and developed deep learning models for computer vision, tabular data processing and time series forecasting tasks. Carried out optimization of models using pruning, quantization, and distillation techniques.• As a result of one of my final projects in this position, developed a time series forecasting model that significantly reduced the use of expensive measuring equipment during drilling, leading to substantial daily cost savings.

• Participated in the development of a video analytics system to identify industrial safety violations.• Conceptualized and designed the system architecture during the early stages of development.• Implemented and trained models in various computer vision fields, including Multi‑Object Tracking, Pose Estimation, Object Detection, Image Classification and Re‑identification.• Developed specialized classical computer vision detectors for specific industrial processes.• Successfully completed pilot deployments of the system at multiple industrial sites.

• Analyzed state‑of‑the‑art computer vision approaches and implemented innovative techniques in the project.• Configured a REST API for utilizing and training neural networks, including EfficientDet, Faster R‑CNN, and YOLOv5, to solve object detection and image/face similarity tasks.• Developed multiple models from scratch for object detection and image/face similarity tasks.