I'm an AI Engineer at Tomoro.ai, where I build applied AI systems for real-world business problems, combining LLMs, machine learning, evaluation, and product engineering.
Previously, I was a Senior Machine Learning Engineer at Springboards.ai, where I led machine learning work across two major creative AI initiatives: Flint Alpha and the Creativity Benchmark. My work focused on building and evaluating LLM systems for creative workflows, including model benchmarking, fine-tuning, embedding-based diversity analysis, human preference evaluation, and production integration.
Before industry, I completed a PhD in Applied Machine Learning at the Australian National University, where I built interpretable machine learning tools for materials design and inverse alloy discovery. I've also worked as a Software Engineer at the Software Innovation Institute and Instaclustr by NetApp, and held research roles at IAS-9, Forschungszentrum Jülich in Germany and Nanocube in Australia.
I hold a Bachelor's and Master's degree from IIT Bombay.
- Flint Alpha: Led development of Springboards.ai's divergence-focused model for creative ideation.
- Creativity Benchmark: Led a large-scale evaluation of leading LLMs for marketing creativity.
- AiiDA-RESTAPI: Open-source REST API tooling for AiiDA, developed through Google Summer of Code.