Summary
Deval Shah is a Senior Machine Learning Engineer based in Australia with 9 years of experience building production-grade AI systems and scalable ML pipelines. He has led design and deployment of multi-tenant Retrieval Augmented Generation (RAG) systems, hybrid retrieval with Qdrant, and meta-evaluation pipelines that automate domain-specific model assessment. Deval has practical edge-to-cloud expertise—optimizing inference with TensorRT/OpenVINO, pruning models for efficiency, and serving models via Kubernetes and Helm—plus hands-on experience in image generation, LPR, and vehicle re-identification. He balances research translation and product delivery, having partnered with startups and government initiatives at AIML and authored technical content for numerous AI companies. Known for measurable impacts (e.g., 12% re-ID improvement, 35% parameter reduction), he combines engineering rigor with an ability to communicate complex ML concepts to non-technical stakeholders.
9 years of coding experience
7 years of employment as a software developer
Bachelor's of Technology Information and Communication Technology, Bachelor's of Technology Information and Communication Technology at Ahmedabad University
High School Engineering, High School Engineering at Asia English School
English, Hindi, Gujarati