Reflections on Technical Product Management, "Vibe Coding," and building production-grade AI systems from Dhaka, Bangladesh.
Deconstructing Six Sigma in Customer Service: mapping DPU, First Contact Resolution (FPY), multi-tier Rolled Throughput Yield (RTY), ticket queue Little's Law, and the Prevention-Appraisal-Failure (PAF) Cost of Quality model with an end-to-end 50,000-ticket enterprise case study.
An academic engineering breakdown of Six Sigma: statistical foundations, the 1.5σ shift, core quality tools, time metrics (CT, PT, LT), yield mathematics (DPU, FPY, RTY, DPMO), and an end-to-end multi-stage manufacturing calculation.
An industrial engineering value map analysis dissecting the ৳50/kg potato in Bangladesh: uncovering why farmers capture only 38% of the final retail price, mapping intermediary margins, and designing digital supply chain solutions.
How applying Lean Six Sigma and Industrial Engineering principles to AI development eliminates context waste, optimizes token efficiency, and reduces LLM hallucinations.
How AI web development, Google AI Studio, and agentic workflows shifted software engineering from syntax drafting to context engineering and rapid MVP deployment.
A firsthand look at how I hire, lead multi-client engineering teams, optimize resources, and ship high-end SaaS products from initial requirement gathering to production.
Learn what systems engineering is, how it transforms modern enterprise performance, key emerging trends like MBSE and digital twins, and a full step-by-step implementation guide with measurable outcomes.
Discover where transaction fees across VISA, Mastercard, AMEX, and Bangla QR actually go in Bangladesh, why high MDRs hinder retail digital onboarding, and how national payment standards can unlock a Cashless Bangladesh.
Explore how shifts in interest rates, valuation multiples, and platform consolidation are redefining M&A strategy—and what corporate mergers mean for enterprise growth, pricing power, and customer experience.
Vibe coding is not about letting the AI write code randomly. It is about Context Engineering—curating schemas, files, and rules to steer LLMs with absolute precision. Here is the practitioner's playbook.
Learn the exact engineering pipeline required to convert high-fidelity SolidWorks models into lightweight WebGL-ready meshes, bind live IoT sensor streams, and execute low-latency real-time 3D animations.
Anthropic's latest addition, Claude Fable, pushes the boundaries of creative synthesis and multi-agent reasoning. Here is the background, performance data, regulatory landscape, and current status of this model.
Vibe coding is the fastest path I have found from idea to user feedback. It is not chaos coding, and it is not "let the AI do everything." Here is what it actually is.
The role market is confused about Technical PMs. Most companies hire one when they need a regular PM, or hire a regular PM when they need a Technical one. Here is how to tell which is which.
Two-week AI MVPs are not a marketing claim. Here is the actual day-by-day breakdown — from spec to deployed URL — including the tradeoffs I make and the corners I refuse to cut.
Industrial engineering does not look like a Technical PM track on paper. It is one of the best preparations for the role I have seen. Here is why, and how I made the pivot.
Prompt engineering for PMs is not about jailbreaks or clever tricks. It is about getting the LLM to do the boring 80% of your work so you can spend your day on the 20% that matters.
Learn how to model complex manufacturing systems and stochastically validate queuing limits inside Rockwell Arena, and write Python scripts to control simulations programmatically.
No spam. Just hard-won insights on shipping AI products and building high-velocity engineering teams.