I am an AI/ML engineer with 4 years of experience across Adobe, IBM, and academic research, delivering end-to-end LLM features from problem framing and data preparation to deployment. I focus on practical, scalable solutions that combine solid data foundations with robust ML production pipelines. I thrive in cross-functional teams and enjoy turning complex constraints into actionable, measurable outcomes.
I’m passionate about building safe, efficient AI systems and continuously improving them with robust evaluation, observability, and clear tooling. My strengths lie in PyTorch, Transformers, RAG, and MLOps, and I enjoy crafting elegant, maintainable solutions that scale across environments (AWS/Azure) and platforms (FastAPI, Docker, vLLM, Redis).
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