I'm a software engineer with 8+ years of experience across backend systems, infrastructure, and AI-powered tools — with a strong focus on building scalable, reliable, and developer-centered systems.

At Divar, I’ve served as a Tech Lead and SRE, where I led teams, scaled search infrastructure, improved system reliability through SLO adoption, and built tooling that enhanced engineering workflows. Today, I work as an AI Software Engineer on the Engineering Productivity team, where we build internal LLM-based agents and tools that help developers work faster and more effectively.

My recent work includes building a context-aware assistant that deeply understands Divar’s internal codebase, design documents, and systems — enabling accurate, high-recall responses for engineering teams. I’ve also contributed to code review agents, internal documentation assistants, and infrastructure that powers multi-agent systems. In a lean 3-person team, we’ve shipped production-grade AI tooling used across the company and supported teams in prompt design, framework evaluation, and developer-facing AI integration.

I’m passionate about real-world applications of AI in engineering, and I thrive where systems thinking, high ownership, and developer empathy intersect.