Build AI products and AI agents
From first sketch to a live product: the architecture, the models, the interface, and the systems around them.
I build AI systems for healthcare and for the organisations that serve it. This page is my full portfolio: what I can do, what I have built, and the craft behind it.
I build AI systems for healthcare and for the businesses around it. Through NeuroParsec, the HealthTech company I founded, I design AI products for clinical care and medical education. Through Cancer CARE Bangladesh (CCB), the nonprofit I founded, I designed and built a complete digital platform that runs a hair donation programme for cancer patients, alongside cancer and mental health awareness work.
My career began in the corporate world in 2018, in technology and strategy roles where I learned how organisations actually run: budgets, teams, deadlines, and the distance between a plan and a working system. Since 2025 I have worked only on my own ventures. That independence is deliberate. It lets me choose problems worth solving and stay close to the building.
Alongside building, I train. I teach professionals to use AI in their real work, and I develop other trainers, because good training multiplies. Businesses in Bangladesh and abroad also bring me in as a consultant on AI adoption: what to build, in what order, and how to make it stick.
No jargon, no inflated titles. This is the work I actually do, and do well.
From first sketch to a live product: the architecture, the models, the interface, and the systems around them.
Documents, communication, reporting and follow-ups, connected to the tools a team already uses, so routine work runs itself.
Patient engagement, clinical support and medical education systems that respect how care really works.
Hands-on training that ends with people actually using AI in their daily work, not just hearing about it.
Curriculum, delivery standards and coaching for trainers, so quality survives scale. This is a discipline I practise, not a side task.
A clear-eyed view of where AI genuinely pays off, what it costs, what to build first, and what to leave alone.
Each project lists the skills it actually used. Live demos and walkthroughs of these systems are available on request.
A HealthTech AI company building AI tools for better health: systems for clinical care, patient engagement and medical education. I lead the product and the technology, from research questions to working systems used in real settings.
I designed and built the organisation's complete digital system myself, live at cancercarebd.org: the public website and app, donor registration, digital donor cards with QR verification, live dashboards, and a donation journey tracker that follows each donation from pledge to courier to a verified certificate. One system, built end to end, that a small nonprofit team can actually run.
Watson is the AI assistant I designed and built to run my own working life. It holds memory across all my projects, plans work, drafts and checks output, and acts through my browser and tools while I direct it by voice. Building Watson is where much of my agent craft was sharpened: it has to work, every day, for a demanding user.
A body of agent and automation work behind day-to-day operations: inbox and document flows, content systems, reporting pipelines and follow-up sequences, built for my ventures and for the businesses I advise.
The research arm of NeuroParsec. In the Lab, new AI methods for health are prototyped and evaluated honestly before anything becomes a product. It keeps the company close to the research frontier and keeps our claims grounded.
A venture in AI-powered personal branding systems: structured content and positioning systems that help professionals present their work clearly. Its methods now feed into my broader AI practice.
Today I consult for several businesses, including international clients, on adopting AI and building the systems around it. The work is practical: find the few places where AI returns real value, build them properly, and train the team to run them.
I keep the number of engagements deliberately small, so the work stays deep rather than spread thin.
A number of my projects are confidential, including work for government. I describe that work only in conversation, never in public documents.
Training the trainer is a first-class part of my work. Organisations do not scale on one good teacher; they scale on a system that produces good teachers.
Programmes built backwards from outcomes: what a learner must be able to do at the end decides everything before it.
Sessions professionals remember and use: live demonstration, real tasks from their own work, and honest answers about limits.
Observation, direct feedback and steady coaching, so a new trainer grows into someone learners trust.
Simple quality checks after every programme: did people learn, did behaviour change, and what gets fixed next round.
My working life begins in IT, inside a Khulna technology company. The years that follow are spent in the corporate world, learning how organisations run.
I founded the nonprofit that became Bangladesh's hair donation programme for cancer patients, with cancer and mental health awareness at its core.
Strategy and planning leadership at Thaifo Tech, GPDL Group and Mayrahkee: the operator years that taught me budgets, teams and delivery.
My HealthTech company: AI for clinical care and medical education, with its research arm, NeuroParsec Lab.
I leave employment behind and work only on my own ventures, consultancy and training.
Building NeuroParsec and its Lab, consulting for businesses in Bangladesh and abroad, and developing the trainers who will teach the next wave.
Graduate of the global leadership programme developed with Harvard faculty.
Ranked #18 globally, in the top 100 of more than 20,000 participants worldwide.
Certified in Digital Marketing by the National Skills Development Authority (NSDA), Bangladesh.
Diploma & BSc in CSE.
For consultancy, AI training and trainer development, or collaboration in health and AI, reach me directly. I reply personally.