Machine Learning Engineer | NLP, LLM & Information Retrieval
Machine Learning Engineer with 9+ months of commercial development experience, focused on NLP, LLMs, Information Retrieval and applied AI.
I build AI solutions end-to-end — from model selection and data processing to RAG pipelines, retrieval, evaluation and integration into applications.
Innopolis University (2024 – Present)
B.Sc. in Computer Science Engineering
Additional Education:
- Yandex Lyceum — Machine Learning Specialization
- Yandex Handbooks — Python, Machine Learning
- Deep Learning for Search — Innopolis University
- Telkom University Exchange Program — Indonesia
- Yandex Studcamp — Computer Vision and Science
Commercial AI/ML Development
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BOS — Business Operating System powered by LLM
RAG pipeline, vector search, LLM, OpenAI API, FAISS, Prompt Engineering -
Namaz.app — Telegram AI Support Assistant
RAG, LangChain, Qdrant, Vosk, OpenAI API, Telegram Bot API -
BuhAI — Intelligent OCR for Document Digitization
PyTorch, OCR, OpenCV, Fine-tuning
Also participated in AI projects through hackathons and team-based projects.
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Classical Information Retrieval Evaluation on BEIR
BM25, TF-IDF, RRF, inverted index, nDCG, MAP, MRR -
Dense Retrieval Evaluation for Large-Scale Search
Sentence Transformers, Dense Retrieval, RAG, FAISS, MultiQuery, HyDE, RAG-Fusion -
Reflectra — Multimodal Image-to-Music Retrieval System
PyTorch, CLIP, CLAP, Qdrant, Vector Search -
Image Approximation using Evolutionary Algorithms
C++, Genetic Algorithms, SSIM, Image Processing
NLP & LLM:
RAG | Prompt Engineering | Hugging Face Transformers | OpenAI API | LoRA | Tokenization | Sentence Transformers
Information Retrieval:
BM25 | TF-IDF | Dense Retrieval | FAISS | Qdrant | Cross-Encoder | SBERT | ColBERT | Learning to Rank | MultiQuery | HyDE | RAG-Fusion
Machine Learning:
PyTorch | scikit-learn | NumPy | Pandas | Feature Engineering | Model Training | Fine-tuning | Hyperparameter Tuning
Computer Vision & Speech:
OCR | OpenCV | Image Preprocessing | Image Post-processing | Whisper | Vosk | Speech-to-Text
Model Evaluation:
Accuracy | Precision | Recall | F1-score | ROC-AUC | MAP | MRR | nDCG | Recall@K
Programming Languages:
Python | C | C++ | Java | Kotlin
Backend & Development:
SQL | REST API | Docker | Git | OOP | Design Patterns
Databases:
PostgreSQL | SQLite | Qdrant | ChromaDB
Operating Systems:
Linux | Bash | Shell Scripting
Development Practices:
Agile | Scrum | Waterfall
- Prize Winner of the International Physics Olympiad (OPMO) 2023–2024
- Hackathon participant:
- TECHARENA KAZAN CHALLENGE 2025
- ALFA-BUDUSHCHEE
- TVOY KHOD
- Adaptability
- Fast learner
- Responsibility
- Critical thinking
- Self-management
- Ability to quickly learn and work with new technologies and domains
English: B2