Faysal Rahman — Full Stack Web Developer & Systems Architect Dossier
Full Stack Web Developer · Backend Specialist · Systems Architect
I design, engineer, and maintain scalable web systems that bridge complex business logic with crisp, responsive digital interfaces.
“Code should be obvious, database queries predictable, and business logic resilient.”
I specialize in taking complicated business processes—from inventory tracking to distributed ERP workflows—and modeling them into maintainable software that teams actually enjoy using.
Modular & Maintainable
I avoid clever shortcuts that create technical debt. Modular architectures with clean service layers keep codebases easy to refactor when business rules inevitably change.
Schema Integrity First
Bad schema design ripples everywhere. Normalized relational models, strict foreign keys, and proactive composite indexes ensure queries remain sub-millisecond at scale.
Built for Real Humans
Software is useless if users can't navigate it. Responsive Vue interfaces, instant optimistic feedback, and bulletproof validations make enterprise workflows frictionless.
[01]The Engineering Journey
My development philosophy was shaped by solving real operational friction for businesses in Bangladesh. Rather than focusing solely on UI polish or theoretical hype, I specialize in building end-to-end digital backbones: multi-role access hierarchies, relational database modeling, transaction ledgers, inventory pipelines, and high-volume REST APIs.
From architecting educational marketplace platforms like eSchoolie (with 6 discrete user archetypes) to managing supply chain ERP pipelines for wholesale operations at Syntorit, and building logistics intelligence tools for courier fraud prevention, I focus on systems that generate immediate business value and run reliably with minimum maintenance overhead.
As a Sub Assistant Manager in MIS / PHP at PRAN-RFL Group, I manage mission-critical enterprise systems, ensuring transactional integrity, audit compliance, and sub-second reporting across thousands of active data records.
[02]Academic & Machine Learning Research
I graduated with a BSc in Software Engineering from Daffodil International University (DIU) in 2024, achieving a CGPA of 3.66 / 4.00.
"Sentiment Analysis on Customer Reviews of Bangladeshi E-Commerce Platforms Using Convolutional Neural Networks (CNN)" — Achieved an 82% benchmark accuracy classifying user satisfaction on multi-lingual Bengali/English dataset.