Feel free to reach out!
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I’m an Lead AI Product Engineer, working on building AI voice-assistant in Terra Quantum, Germany.
And I’m in love with creating AI products from scratch!
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Training, deploying and serving LLMs, SD and audio models.
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Architecting, building and deploying the whole backend of product: from APIs and databases to RAG pipelines with vector stores.
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Working with both mobile and web frontends.
Prior to that I was leading an AI research team in Terra Quantum, we published multiple works on On-Device AI in IEEE Conferences (you can read more info below)
- Python
- Javascript
- Typescript
API Development: FastAPI, Express
Databases: PostgreSQL, Redis, Vector Databases
Cloud Services: Google Cloud Platform (Compute, Storage, Cloud Run), Firebase \
Model Training: LLMs, Stable Diffusion (SD)
Model Deployment: LLMs, TTS (Text-to-Speech), STT (Speech-to-Text), SD on Google Cloud and other GPU providers
RAG Pipelines: Retrieval-Augmented Generation for enhanced LLM performance \
Containerization & Orchestration: Docker, Kubernetes, Helm
CI/CD: GitHub Actions, Google Cloud CI/CD pipelines
Scalable Inference Systems: Cloud-based model inference on GCP and other GPU providers \
[IEEE MIPR 2024] TQCompressor: Improving Tensor Decomposition Methods in Neural Networks Via Permutations
Lomonosov’s Moscow State University (QS #37 WORLD RANKINGS IN PHYSICS)
Mathematics and statistics: Linear algebra, Probability & Statistics, Mathematical Analysis, Robotics.
Physics: Fundamental Physics, Theoretical Mechanics, Quantum Theory, Physical Chemistry