- 🧠 Junior Computer Vision Researcher at @ispras
- 🎓 Bachelor's degree, BMSTU '26 (Applied Math/CS) - GPA 4.32/5
- 🔬 Focus: Deep Learning, NLP, Computer Vision, AI
- 🤝 Open to research collaborations & AI projects
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Junior Computer Vision Researcher @ ISP RAS (Sep 2024 - Present)
- R&D in Computer Vision with a focus on Video Copy Detection.
- Published and presented research on "Shazam Algorithm for Partial Video Copy Detection" at the IVMEM2025 conference.
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Machine Learning Engineer @ Fast Food Memes (Jan 2024 - Aug 2024)
- Developed an infinite personalized meme feed for an open-source Telegram bot (repo).
- Processed 500k+ memes with OCR in 10 languages, reaching 2,500 MAU.
- Built a deduplication and spam-detection system that flagged over 14k spam entries.
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MLOps Engineer @ Bauman Racing Team (Nov 2022 - Oct 2023)
- Created a CLI tool to manage Docker containers for a driverless car system.
- Developed a C++ unit testing system and built CI/CD pipelines from scratch.
- Programming: Python, SQL, C++, Bash
- ML/DL: PyTorch, Transformers 🤗, PEFT, vLLM, OpenCV, NumPy, Pandas, Matplotlib, Scikit-learn
- Technologies: LoRA, Qwen, GraphRAG, RAG and more!
- Collaborative Skills: Git & GitHub, Docker, Airflow/Prefect, Leadership, Research Collaboration, Code Review
- Languages: English (Professional Working), Russian (Native)
- Optimizing GraphRAG for Enhanced RAG Pipelines (July 2025)
- Team project at StudCamp on NLP Yandex × NSU.
- Optimized GraphRAG construction using LoRA fine-tuning on Qwen3-4B for enhanced NER and relation extraction in Russian.
- Implemented the solution into the open-source RAGU framework.
Email • LinkedIn @SUPERustam • Telegram @SUPERustam • CV • Blog [RU]
Always learning, always building.