Jigar Shah: AI & ML Engineer

Building scalable AI solutions that drive $13M+ revenue

Senior AI/ML Engineer & Product Lead | Transforming Complex Data Into Scalable, High-Revenue AI Solutions

I’m Jigar Shah — a Senior AI/ML Engineer and emerging AI Product leader with 7+ years of experience turning complex business challenges into scalable, intelligent, and high-impact solutions. My work sits at the intersection of machine learning engineering, cloud platforms, and AI-driven product development.

I specialize in building production-ready ML systems, modernizing legacy workflows, and designing Generative AI capabilities that drive measurable outcomes. Over the years, I’ve helped organizations significantly reduce operational costs, improve decision-making, and accelerate their AI transformation.

Some of my key accomplishments include reducing ML infrastructure costs by nearly 80% through a fault-tolerant Kubernetes pipeline, generating over $13M in annual revenue through ML-driven decision tools, and leading cloud migrations to Azure ML that improved scalability and reliability across teams.

Recently, my focus has shifted toward AI + Product, where I enjoy translating user needs into technical solutions—defining success metrics, shaping feature roadmaps, and building LLM-powered applications such as document intelligence systems and route optimization assistants. I thrive in roles where engineering rigor meets product vision.

Beyond work, I love experimenting with emerging technologies, mentoring teammates, and building side projects that push my skills in ML, LLMs, and automation.

My goal is simple: build AI systems and products that are reliable, scalable, and genuinely useful to the people who depend on them.