About
About
I build software where product ownership, backend reliability, and responsible AI systems meet. I am most interested in taking products beyond prototypes—making them secure, observable, maintainable, and useful in real workflows.
Product ownership
I have taken ownership of an existing shipped application, led a small engineering team, managed architecture refactors, and supported iOS and Android release workflows for MindMitra.
Backend and systems
I have built APIs, optimized database queries, implemented authentication and role-based access control, connected backend services to user-facing products, and worked on analytics dashboards, retrieval pipelines, caching, and asynchronous processing.
AI systems and governance
I am especially interested in how AI and agentic systems are governed after deployment: how their actions are observed, evaluated, constrained, and connected to accountable owners. My work has included retrieval-grounded applications, GPT-assisted generation, fallback logic, and bounded AI workflows. I am currently extending that interest into agent observability, incident detection, evidence collection, human review, and remediation through Fleetrac.
Team fit
I am looking for teams building serious software across backend, full-stack, AI infrastructure, or agentic systems—especially environments that value engineering rigor, product ownership, responsible deployment, and strong mentorship for early-career engineers.
Outside of engineering, I enjoy hiking, reading psychology, following developments in AI governance, and listening to EDM.