I’m the CIO and cofounder at Entropy Labs. I lead product and technical work across AI systems, backend architecture, and delivery.
Most of my time goes into work where roadmap, system design, failure handling, and team execution start colliding. I still like being close to the hard parts. Slow reporting paths. Brittle workflows. LLM systems that look fine in a demo and get weird with real users. Product decisions that quietly turn into engineering debt.
I also spent a few years teaching labs at FAST-NUCES. That still shapes how I work. I like direct explanations, real examples, and systems that still hold up once the edge cases show up.
GitHub · LinkedIn · Email · Resume (PDF)
For private commercial work, I try to describe the part I actually owned. Some systems here were solo client builds. Some were team products where my work was concentrated in backend architecture, workflow design, and product direction.
Quick Context
- I lead product and technical work for an 8-person cross-functional team at Entropy Labs.
- I helped cut a manual onboarding flow by 80 percent, from roughly 2 hours to 25 minutes.
- I took a reporting path from 750ms to 230ms by cleaning up the query shape instead of piling on more hardware.
- I have worked on systems in retail, healthcare, legal intake, and marketing, usually where correctness, latency, or reliability actually matter.
- I taught labs in operating systems, software construction, and web engineering before stepping away from teaching.
Work
CIO & Cofounder, Entropy Labs (Jun 2025 to Present)
I lead product strategy and technical operations for an AI marketing platform. That means roadmap decisions, delivery pressure, infrastructure choices, and the usual question of whether the real fix belongs in the product, the system, or the way the team is working. I still stay close to the architecture and the backend paths that can do real damage when they go wrong.
Technical Product Engineering Lead, Entropy Labs (Sep 2024 to Jun 2025)
I built workflow automations that cut manual onboarding time by 80 percent. I worked on AI document-processing flows, Django and Vue applications with streaming, and the migration work needed to get parts of the system out of a monolith without making the product worse in the process.
Senior Software Engineer, Entropy Labs (Aug 2023 to Sep 2024)
I worked on FastAPI and Django systems under real traffic. A lot of that was backend cleanup, query work, caching, and making reporting and data-heavy flows fast enough that people would trust them.
Founder, Commit Software Solutions (Mar 2020 to Present)
I started taking on client work while I was still in university. Polaris came out of that stretch. It taught me early that enterprise and operations software is never really about the happy path. The annoying edge cases are the product.
AI Engineer, WebNoodle Co. (Mar 2022 to Jan 2024)
I built LangChain-based systems for document processing, retrieval, ranking, and model integrations. That work made me care less about prompt demos and more about rate limits, observability, cost, and what happens when the model gives you something half-right.
Software Engineer Intern, Arrivy (Jun 2023 to Aug 2023)
I worked on backend systems for employee management with Flask, BigQuery, and cloud automation on GCP.
Teaching and Mentoring
Lab Instructor, FAST-NUCES (2024 to 2025)
I taught labs in Operating Systems, Software Construction & Development, and Web Engineering. The useful part was never the slide deck. It was getting students to debug the thing, trace what actually happened, and explain why the system behaved the way it did.
Teaching Assistant, FAST-NUCES (2022 to 2024)
I supported courses including Introduction to Software Engineering, Software for Mobile Devices, Information Security, and Software Project Management.
If you want the teaching side in one place, start with the teaching page or the FYP guide.
Selected Work
Polaris ERP Retail operations software where stock truth, ledgers, supplier workflows, and tenant isolation all have to stay aligned.
Obelisk AI content system with specialized agents, retrieval, checkpointing, and the guardrails needed to keep it usable.
Anatomia Care workflow software with PHI controls, callback operations, role handoffs, and the usual ugly integration realities.
Go Load Balancer Dashboard A smaller public project, but a good one if you want to see how I think about concurrency, visibility, and systems work.
What I Care About
- systems that have to hold up under real use, not demo traffic
- product decisions that respect engineering reality
- backend performance work that fixes the real bottleneck
- AI systems with sane failure handling
- code that stays understandable after the rush is over
Education
MS in Computer Science at FAST-NUCES, Lahore (Aug 2024 to Aug 2027)
BS in Software Engineering at FAST-NUCES, Lahore (Aug 2020 to Aug 2024)
Get in Touch
If you’re dealing with a production system, a messy AI rollout, or a backend path that has become a drag on the product, contact me.