Raj Mehta

Talented and versatile Machine Learning Engineer with deep expertise in full-stack AI system design, cloud-native infrastructure, and applied research across deep learning, computer vision, and generative AI. Leverage experience deploying end-to-end ML platforms, fine-tuning large language models (LLMs), and orchestrating multi-agent systems. Lead technical initiatives that span backend development in Python, frontend interfaces in React/Streamlit, cloud deployments on AWS and Azure, and MLOps workflows with MLflow, Docker, Kubernetes, and GitHub Actions. Bring experience with high-impact work across cancer research, genomics, 3D reconstruction, and AI-powered automation. Employ project ownership, curiosity, and adaptability -- ideal for high-velocity startups and research-driven AI teams building at the edge of innovation. Major achievements include leading CI/CD automation initiative that reduced release cycles from 4 weeks to 1, enabling the launch of 10 core features in under 8 weeks and accelerating time-to-market by 75%.