Vinita Chimalgi
Product Manager
I'm an MS&E grad at Stanford working on the product and infrastructure layer of AI. I started in ML engineering, then led AI adoption at Citi, and now I build systems for AI workloads.
Lately I've been working on how agents get integrated, evaluated, and observed in production. The part that interests me is the economics. What an agent costs to run, and whether the enterprise gets that back. Most of that work is navigating tradeoffs, and the ones worth taking are usually the ones that hold up a year out. That is the call I want to be making, and building products with that horizon in mind is the job I'm after.
Making AI work inside a real business is the constant. Open to product roles in AI infrastructure, cloud, and any team turning what is technically possible into something that earns its place in a workflow.
- 0→1 & scale
- Enterprise AI
- Inference
- Agentic benchmarking & evaluation
Products I've owned
Exumo
AI-native trade intelligence: agents that turn cross-border discovery into de-risked, evidence-backed matches.
AgentBench
Instrumenting what agent traffic actually does to a GPU: inference benchmarking and serving optimization.
Gruve AI
Managed inference on distributed spot compute: how a cost advantage wins only after latency and SLA guarantees are met.
Citi
Retrieval pipelines over proprietary bank data, built against the real bottleneck in risk and compliance workflows.
Growing up, I spent most of my time buried in books of all kinds. I attribute a lot of my vision and foresight to those early years of reading all over the place. I went through a classic reading rut with digital devices reducing my attention span considerably, but I've worked my way through it. I dabble a lot into historical fiction and characters rooted in an overdeveloped sense of justice. I really enjoy all genres but have a soft corner for unabashedly quirky female authors. Hit me up for recommendations!
I love dancing and college really helped me bring out that side in me. Attending workshops and choreographing performances has been the highlight of my last year. I've been predominantly doing classic Bollywood interlaced with a little bit of hip-hop. I'm enamoured by Kathak (a classical Indian dance form) and I hope to learn it very soon.
I came to Stanford with an intention of driving product end-to-end. Stanford has been a transformational experience and has thrusted me in the heart of the Silicon Valley. The energy here is infectious and the ecosystem has already helped me work on the most diverse areas from edtech, legal tech, to economics of the hardware & serving system powering the AI wave. I'm looking to build a career that helps me leverage the right and left side of my brain.
