I am an AI Engineering Leader and Technical Founder with over 8 years of experience taking complex Machine Learning and GenAI products from 0 to 1.
Most recently, I've architected high-throughput GenAI pipelines, including an extraction system that processed over 21 million complex records. I specialize in deploying scalable LLM architectures, optimizing inference for heavy open-weight models, and building robust MLOps infrastructures (AWS, GCP, Kubernetes).
Alongside my enterprise work, I serve as the Fractional CTO at Tinydoc, where I help fast-growing teams design multi-agent workflows and integrate enterprise-grade AI into their core platforms. Whether I am leading an internal engineering division or consulting as a Fractional CTO, my focus is bridging the gap between cutting-edge AI research and scalable, commercial reality.
Core Competencies: GenAI Architecture, LLM Fine-Tuning (PEFT, LoRA), RAG Pipelines, Multi-Agent Systems, High-Performance Compute (A100 optimization).
