Lead ML Engineer | Building AI-Powered Systems in FinTech & Healthcare | Open-Source AI for Low-Resource Languages
I build end-to-end machine learning systems that drive real business outcomes—from LLM-powered conversational AI to credit risk models processing terabytes of data. Specializing in production ML infrastructure, on-device AI, and NLP for underrepresented languages.
Recent Impact:
- Co-founded CorePod: privacy-first on-device LLM for sleep AI (100+ beta users, NVIDIA Inception)
- Created AkylAI: first Kyrgyz-language LLM chatbot (20K+ users)
ML/AI: PyTorch, LLMs, RAG, On-Device AI, Production ML Systems
MLOps: ClearML, K8S, Triton, Weights & Biases, Vertex AI
Data: ClickHouse, FeatureStore, Hadoop, Spark, ElasticSearch
NLP: Hugging Face, LangChain, LlamaIndex, Weaviate, Voice AI (TTS/STT)
Co-founder of Kyrgyzstan's national open-source AI initiative. Built the country's first LLM chatbot, created the first Kyrgyz language benchmark, and released the largest Kyrgyz text corpus (300M+ words). Organized 50+ AI meetups and 3 DataThons with 250+ participants.
First standardized benchmark for evaluating LLMs in the Kyrgyz language. Contributed Kyrgyz language support to Hugging Face LightEval. Essential infrastructure for low-resource NLP research.
Architected privacy-first, fully on-device LLM and voice AI stack for real-time conversational sleep companion. Combined CBT-I sleep science with contextual ML, deployed to 100+ beta users with measurable improvements in sleep quality.
- GP2.org Contributor: Applying AI to Parkinson's genetics research (ASAP-affiliated program)
- National AI Council Member: Advising on Kyrgyzstan's AI policy and strategy
- AI Community Founder: Built 2K+ member community uniting ML engineers and data scientists
- 10+ years building ML systems in FinTech (Citibank, MBank, EY)
- Master's in Applied Mathematics & CS from Moscow Institute of Physics and Technology
- Led technical teams at scale (10+ FTEs) and mentored engineers to promotion
📧 Email | 💼 LinkedIn | 🤗 Hugging Face
Open to collaborations on low-resource NLP, production ML systems, and AI for social impact.
