Feel free to reach out!

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[email protected]

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About me

I’m an Lead AI Engineer at **Terra Quantum, Germany**.

And I develop AI-powered products - like voice-assistants, chat-bots and productivity tools for AI teams.

I’ve got lots of hands-on experience with:

• Training, deploying and serving LLMs and CV models.
• Building and deploying the whole backend of product: from APIs and databases to RAG pipelines with vector stores.

Along with that I sometimes publish papers and articles about On-Device AI. (check out more info below)

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My Papers On Google Scholar

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My CV

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🛠️ My stack

Programming Languages

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• Python
• Node.js/Typescript </aside>

Backend Development

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API Development: FastAPI, Express

Databases: PostgreSQL, Redis, Vector Databases

Cloud Services: Google Cloud Platform (Compute, Storage, Cloud Run), Firebase

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Machine Learning & AI

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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

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DevOps & Infrastructure

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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

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📝 My Papers and articles

[IEEE MIPR 2024] TQCompressor: Improving Tensor Decomposition Methods in Neural Networks Via Permutations

[Dataconomy] How to Optimize Computer Vision Models for Use in Consumer Apps

[Dataconomy] On-Device AI: Making AI Models Deeper Allows Them to Run on Smaller Devices

[White Paper] Tetra-AML: Automatic Machine Learning via Tensor Networks

[Hackathon Raptors] Beyond Code — The Importance Of Non-Technical Skills

🎤 My Talks

[Global Talent Club London] AI on Edge: how to run neural networks on smartphone

[PYerevan] Building LLM-Based Services with Your Own Inference

[Uchi.Ru Conference] How to control quadcopter using AI and Computer Vision