The person behind
the systems
20+ years. Healthcare. Government. Enterprise. Global AI. This is how a network engineer becomes a reasoning systems architect.
The Story
Not a resume. An evolution.
I started where most infrastructure stories begin, deep in network architecture, pulling cable, configuring Cisco switches & routers, keeping hospitals alive. For over a decade at BIRDEM, I built the IT backbone that 1,000+ healthcare professionals depended on daily. Near-zero downtime wasn't a KPI. It was a clinical necessity.
That discipline of building systems that cannot fail never left me. It shaped how I think about every layer of a stack — from a database schema to an LLM pipeline.
At the World Bank's ROSC-II project, the scale shifted to national. I architected a monitoring system for 400,000+ student records across Bangladesh — designing not just the technology, but the data governance policy that would make it trustworthy for decades.
Then came Lithe Group, where I stepped into enterprise leadership as Head of IT — managing a $1M+ annual budget, building an ISO 27001 security program that cut incidents by 40%, and deploying ML models that reduced supply chain delays by 15%.
Today, as Chief Data Scientist & CTO at Encore IT, I lead AI strategy for 13 global clients — architecting RAG systems, GraphRAG knowledge graphs, and Agentic AI workflows that don't just retrieve information. They reason about it.
How I Think
The principles that shape every system I build
Technical Arsenal
Grouped by thinking domain — not dumped in a list
Career Timeline
Network Engineer → IT Head → World Bank Consultant → Global AI CTO
Chief Data Scientist & CTO
CurrentHead of Information Technology
EnterpriseIT Consultant
GovernmentSenior Network Engineer
HealthcareCertifications
From Wharton to RHCE — breadth that validates depth
Updated 2026 · Full project history, certifications, and client references
