Software Engineer & AI Researcher — dependable systems, from infrastructure to inference
I build production systems used at national scale and study how software can be made more reliable, testable, and auditable. I plan to pursue a PhD in Software Engineering, with a particular focus on software testing. At Pathao, my work spans graph-based fraud analysis, feature platforms, campaign infrastructure, and high-throughput Go services; my research also explores trustworthy LLM pipelines and discrete diffusion models for code generation.
Co-authoring a survey of foundations, capabilities, verification, and evaluation for diffusion-based code generation through the UIUC Summer Research Program.
Co-developed a nine-stage, provenance-preserving pipeline that scores venture proposals and produces auditable GO/NO-GO recommendations.
Shahjalal University of Science and Technology · Sylhet, Bangladesh
February 2020 — December 2024
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 intelligent systems that remain reliable, auditable, and useful.
I welcome conversations about research collaborations, PhD opportunities, trustworthy AI, software engineering for AI, code generation, and dependable distributed systems.