Led end-to-end (0→1) development of AI/Agent platforms, multimodal agents with agent evaluation and model improvement..translating advanced ML capabilities (LLMs, RAG, agent workflows, context windows) into scalable products from ideation to launch. ### of agents shipped, latency, MAUs, partner adoption, revenue/efficiency impact, LLM/VLM models, tools and reasoning.
intersection of modeling, data, systems, and evaluation that enable building agents to complete multimodal work end-to-end. Vision-language model training with large-scale data pipelines.
Drove rapid prototyping and productization using AI coding assistants and API-driven architectures, with strong hands-on fluency in multi-agentic systems, edge AI, and developer tooling.
Led AI projects in cross-functional teams for enterprise AI adoption, deploy AI driven solutions, Products & Platforms with Large Language Models, building and training large-scale multimodal models and systems, Assistive search, AI-powered experience, Large Vision Models
• AI Adoption, Innovation and Policy Alignment
• Multimodal context and response planning towards building LLMs.
• Diverse ML model deployment and Integrated Generative AI Solutions for partners in various fields: Retail, Enterprise Software, Health, Consumer Market, Hardware
• Organize talks, workshops, trainings, hackathons, collaborations
• key technologies : Vertex AI, Gemini, Kubernetes, BigQuery
