I’m a software engineering lead passionate about building reliable, scalable, and intelligent infrastructure that powers the next generation of agentic workflows. With deep expertise spanning large-scale distributed systems, agentic infrastructure, systems architecture, and operational resilience, I focus on solving the hardest problems at the intersection of systems, AI, and real-world execution - where theory meets engineering tradeoffs.

I think deeply about how distributed services communicate, self-coordinate, and act with reliability under ambiguity. My work is rooted in understanding latency, correctness, failure modes, and semantic interoperability - not just performance on benchmarks, but real-­world outcomes that matter in production. I’ve led teams and initiatives that:

- Architect complex distributed platforms that serve high-availability workloads at scale
- Design agentic systems and frameworks that enable coordinated autonomous behavior across services and models
- Build operationally robust infrastructure with strong observability, fault tolerance, and graceful degradation
- Translate cutting-edge research into developer-ready systems and patterns

I also built the next-generation of elastic compute infrastructure to increase overall fleet utilization responsible for managing ~30% of Meta’s capacity (millions of servers) across ~20 geo-distributed datacenters saving billions of dollars in Capex. This involved partnering with VPs across Ads/Whatsapp/IG/Finance/Infra to set multi-year roadmap and strategy for increasing fleet-wide efficiency. In the past, I have worked at Informatica as a Senior Software Engineer in the `Services Platform` team where I was responsible for architecting and developing enterprise-scale tooling to provide predictive insights across various ETL engines.
.

I graduated from University of California, Los Angeles (UCLA), with a Master's in Computer Science in December 2019. At UCLA, my focus area was on building scalable distributed systems leveraging Machine Learning.

I write and speak about the practical realities of agentic workflows, distributed coordination, and systems architecture - demystifying how to engineer autonomous behavior while managing uncertainty, failure, and evolving constraints.