Code Generation & LLMs
Contributing to survey research on the current landscape and next generation of code LLMs, alongside follow-on work examining how diffusion models may change code generation approaches.
Software Engineer — building distributed systems that scale
Backend software engineer with 2+ years of experience building and operating high-traffic systems in Go. At Pathao, I work on graph-based relationship analysis, fraud detection, campaign orchestration, and feature platforms across Ride, Food, and Parcel. I also research code generation for LLMs and AI-assisted pipeline systems.
Contributing to survey research on the current landscape and next generation of code LLMs, alongside follow-on work examining how diffusion models may change code generation approaches.
Co-built an eight-stage LLM pipeline for document extraction, fact and dimension analysis, multi-candidate answering, confidence and drift scoring, expert opinion generation, and final report compilation. Paper under review at ICAIF 2026.
More than 2,000 problems solved across competitive programming platforms, building the algorithmic foundation I bring to complex backend and distributed-systems work.
Let’s build systems that stay fast, observable, and dependable.
If you’re working on distributed platforms, graph systems, fraud detection, or applied AI infrastructure, I’d be glad to connect.