The Daily Star
Started writing cover features for a national daily at fifteen. Deadlines taught more than school.
Principal Product Owner · Optimizely
Hands-on senior PM who writes his own prototypes, queries his own production data, and ships his own A/B tests alongside engineering.
6+ yrs
at Optimizely
$400M
ARR Platform
9,000+
Customers
4
Industries
8+ yrs
in B2B SaaS
Selected work
I lead the CMP platform and integrations teams. Before that, I worked on Opal’s agent platform, from workflow agents to RAG and the Tools SDK.
Optimizely · Principal Product Owner
I designed the credit and lending workflows for a business helping small retailers buy stock. This is where I learned FinTech the hard way.
SupplyLine · Co-founder
Describe what your cameras should watch for. Nurby runs the AI locally and sends an alert when a rule matches. The footage stays on your network.
Nurby AI · Founder
I co-founded PorashonaOnline for students preparing for exams, and worked with Learning Shaper as a Product Consultant on its school ERP.
PorashonaOnline · Co-founder / Learning Shaper · Product Consultant
Product Engineering Output
Most of the surge in late 2025 onwards is agent-assisted code I wrote, reviewed, and shipped using Claude Code and the rest of the hands-on stack listed above.
3,820
Last 12 months
656
Last 30 days
33 days
Longest streak
0 days
Current streak
Optimizely·6+ years·5 promotions·$400M+ ARR DXP, top-3 globally
Platform team and integrations team
Leading the platform team and the integrations team that owns how the content stack talks to every other system in the customer's stack.
Earlier at Optimizely
Shaped the agentic AI platform powering Marketing and Experimentation Ops. Workflow agents, canvas orchestration, RAG pipelines, and an internal Tools SDK, with thousands of agents in production.
Skills
I’m building Nurby so you can describe what matters, instead of watching hours of footage. It works with the cameras you already have and analyzes the video on your local network.
Democratizing VLM inference at the edge
You ask
“Let me know when a package arrives at the front door after 6pm.”
Your package is here.
A package was detected at the front door after 6pm.
FinTech · SupplyLine
Co-founderWhere I learned FinTech the hard way. I designed the credit decisioning, the BNPL-style lending, and the invoice-discounting workflows for an underbanked B2B retail market. The company operates today. I remain co-founder while my focus has moved to Optimizely.
What I built
Credit decisioning
Scored thin-file retailers with no formal credit history into lendable tiers.
BNPL-style lending
Short-term working capital advanced against verified purchase orders.
Invoice discounting
Early settlement for suppliers waiting on slow retailer payment cycles.
4,000+
Retailers
10 tons
Shipped daily
~$2M
Credit disbursed
Series A
Raising now
EdTech · Co-founder + Product Consultant
An AI exam-prep app for Bangladeshi board and BCS students. The model sets each question to the student's level and scores attempts the moment they submit.
difficulty · adaptive
level 7 / 10Which metric is the strongest leading indicator of churn in a B2B SaaS product?
A K-12 ERP with embedded AI, live across 150+ schools. It grades answer sheets in seconds and flags the students drifting toward a worse term than last.
auto-graded · class 9 algebra
6 / 875%
conf 0.99
conf 0.97
conf 0.94
conf 0.92
conf 0.88
conf 0.86
conf 0.99
conf 0.95
Earlier · Deligram · Business / Ops Analyst
Built BI on Metabase, Redash, and Tableau. Modeled unit economics (IRR, NPV, WACC). Designed Bangladesh's first retailer-assisted O2O e-commerce model and its digital trade-promotion module.
The Earlier Chapters
Writing, editing, design and client work. The decade that built the instincts product management eventually got named credit for.
Started writing cover features for a national daily at fifteen. Deadlines taught more than school.
Ran a literary magazine and forum for 60+ writers. Dissolved it rather than sell the readership.
Built the dashboard UX, then owned content and a six-person research team. First taste of cross-functional ownership.
Identity, UI and campaign work across twenty-plus organisations. Design became a problem-solving habit, not styling.
Writing
I spent a year moaning that a home espresso machine was all I needed to feel good on a weekend. Then I got one, had three months of excitement, and went back to salted caramel lattes.
We started the last year with reading articles that METR had measured experienced developers going 19% slower with AI while they believed they were going 20% faster. The more interesting thing happened in February 2026, when METR admitted it could no longer run the study, because it could not find enough developers willing to spend a day working without an AI tool.
What happens when our product has acquired a user that reads your error strings, acts on your defaults, and never once complains. It does not answer surveys, it does not open tickets, and when it gets confused it just retries :/
A tailor can't unit-test a punjabi, so he judges his Eid season by who walks back into the lane afterwards: the customers who come back carrying new cloth, and the ones who come back with the shoulders folded in a bag. AI products have put the rest of us in the same position. When you can't fully verify the thing before it ships, the praise-to-criticism ratio in your feedback stream becomes the closest thing you have to a report card, and it's a better one than NPS ever was.
For fifteen years software was sold by the seat, one named user for one monthly fee, back when every seat was a person and the software only made that person faster. Then the agent started doing the work itself, and a single agent that clears what seven hundred people used to clear is an agent that empties seven hundred desks you were billing for. Sell that by the seat and your revenue shrinks in step with how well the thing works.
Greenhouse shipped an MCP server this year, and the part worth sitting with is not the feature list. It is that a recruiter can now run a full hiring report, pull candidate context, and clear a batch of rejections without ever loading greenhouse.com. The interface layer of SaaS is migrating into the agent, and the product you spent a decade making beautiful is becoming a backend somebody else narrates.