01
Domain to data
Business workflows become entities, relations, validations, permissions, and reporting paths.
MySQL · MongoDB · Validation · Reports
Full-stack engineering for product-heavy teams
Build products
with AI-speed engineering
Five years across AI audio tool, healthcare, pharmacy, and commerce, spent making that layer faster, safer, and ready for real users.
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Full Stack Engineer · Working worldwide from Bangladesh
30K+
users touched
5
years in software
14K+
patients supported
1M+
records handled
Selected rooms I've worked in
2021-2026
Companies, platforms, and products with real users behind them.
Some needed speed. Some needed structure. Some needed rescue. All needed software that could keep moving.
01Engineering Desk
I work through the full loop: understand the product, design the data, shape the API, build the interface, test the risky paths, and ship with production constraints in mind.
See production work →Map the domain. Ship the system.
Engineering loop
Product→Data model→API contract→User flow
AI review→Deployment
02
AI-assisted execution
AI speeds up code reading, scaffolding, test planning, migration checks, and documentation. Core logic stays human-reviewed.
Claude · Codex · Tests · Review
03
Release to scale
After shipping, the system is profiled, cleaned, documented, and prepared for the next product cycle.
Performance · Deployment · Docs · Handoff
02Engineering range
From database to deploy.
I work across the full product layer: data, APIs, interfaces, performance, deployment, and long-term maintainability.
Execution layer
01
Backend architecture
APIs, auth, RBAC, service boundaries, validations, database logic, and business rules.
Node.js · NestJS · REST · JWT · RBAC
02
Frontend product flows
Dashboards, storefronts, admin panels, onboarding, checkout, and merchant-facing interfaces.
React · Next.js · TypeScript · UI Flows
03
Performance work
Query tuning, module cleanup, background processing, async tasks, and heavy workflow optimization.
Optimization · Refactor · Workers · Async Tasks
04
Production delivery
Docker, Linux servers, Nginx, CI/CD habits, backups, and deployment-ready releases.
Docker · Linux · Nginx · CI/CD
03Built in production
Five systems. Five kinds of pressure.
Audio processing. Contract logic. Healthcare data. Merchant workflows. AR assets. Each system had a different hard part under the interface.
The interface is only the visible part.
Projects
01
Jamahook
AI Audio
AI sound matching platform
A desktop and web audio platform for search, onboarding, purchase flows, API sync, and CPU-heavy sound processing.
Search · Desktop sync · Purchase flow · Heavy processing
View system
30K+ users · 2K+ desktop users
02
Pharmacon
Supply Chain
Pharmacy supply platform
A contract-heavy supply-chain system rebuilt around cleaner modules, faster workflows, and safer business logic.
Contracts · Modules · Validation · Performance
7K+ contracts · 80% faster
03
BMU Hospital
Healthcare
Healthcare management system
A hospital platform for patients, records, reports, documents, admins, and secure operational workflows.
Patients · Records · Reports · Access control
14K+ patients · Cleaner records
04
BeeCommerce
SaaS Commerce
Merchant commerce system
A SaaS commerce platform for products, orders, payments, storefronts, themes, and merchant dashboards.
Products · Orders · Payments · Storefronts
View commerce
5K+ merchants · Stripe · aamarPay
05
RealX
AR Platform
AR product experience
An AR product platform for uploads, assets, 3D previews, backend integration, and product exploration.
Uploads · Assets · 3D preview · Product flow
View AR flow
3D preview · Asset flows
04About
Sajjad Hossain
Dhaka, worldwide
Five years in software.
The last three spent closer to the parts people rarely see.
I started with web apps, servers, and data-heavy workflows in 2021, where every small decision had a visible effect. Since then: merchant platforms, payment flows, AR product experiences, AI audio tools, hospital records, pharmacy supply chains, and systems used by thousands of real users.
Based in Bangladesh, working with remote product teams. The mandate is simple: turn messy operations into software that keeps moving.
01
Stay close to the workflow.
02
Understand the audience before the interface.
03
AI is infrastructure, not decoration. Build systems that keep moving without you.
04· Contact
Dhaka · GMT+6
Tell me what you're building.
Client projects and investor conversations land in the same inbox. Replies within 24 hours, Dhaka time.