Kunal Singh

I’m a Computer Science student specializing in Applied LLM systems and Product Architecture, with a strong focus on production-grade AI experiences. I enjoy scoping and shaping the technical roadmap—from architecture and system design to the details that make tools feel intuitive for end users.

In my projects, I’ve built and optimized RAG platforms and LLMOps infrastructure, including workflow automation, prompt versioning, dataset tracking, and offline evaluation. I care about reliability and guardrails, and I actively implement observability so teams can detect quality degradation and model drift early.

To bridge technical complexity and stakeholder clarity, I translate telemetry and evaluation outputs into dashboards that support human-in-the-loop inspection. My approach balances engineering rigor with UI/UX workflow design—so non-technical users can act quickly when performance shifts.

I’m currently seeking a Technical Product Manager / Platform PM internship where I can combine my engineering foundation with a product mindset to deliver scalable AI platforms and governance-ready workflows. I’m especially excited by work that improves cost efficiency, reliability, and risk visibility across real deployments.