Software Engineer | BSc in Computer Science & Engineering · Dhaka, Bangladesh
Srijon Ashraf Zim
Software Engineer with experience building scalable, production-grade web and backend systems using JavaScript and TypeScript ecosystems. Proven ability to design secure APIs, role-based access systems, real-time services, and AI-integrated applications. Skilled in microservices-oriented backend development, cloud deployments, and high-volume transactional platforms, including ride-sharing and AI SaaS products.
Selected Work
Featured projects
A handful of recent things I've shipped.
Resumetra — AI Resume Analysis Platform
Full-stack AI resume platform that delivers real-time scoring, feedback, and tailoring via a 2-phase streaming pipeline over SSE.
MockGenie — AI Interview Simulation Platform
Real-time AI voice interview platform that conducts role-specific mock interviews with live transcription and automatic feedback.
SB XPO — Community E-Commerce (Client Project)
Full-stack e-commerce platform with multi-level referral integration, public storefront, and internal portals powered by a context-aware unified API.
Tech Stack
Skills & tools
The technologies I reach for most often, organized by category.
AI/ML
- LLMs
- MCP
Backend
- Node.js
- Express.js
Databases
- PostgreSQL
- MongoDB
- Redis
- Prisma
DevOps
- Docker
- AWS
- Firebase
- CI/CD
Frontend
- React
- Next.js
- Redux
- Tailwind CSS
Languages
- JavaScript
- TypeScript
Testing
- Vitest
- Supertest
Career
Experience
Where I've worked and what I built there.
Oct 2024 — Present
Software Engineer · Teamz Lab Ltd — Remote
Previously contributed to dBlack's ride-sharing platform, acquired by Teamz Lab Ltd in Apr 2025. - Built and maintained backend modules across ride management dashboard, admin, and HR workflows - Implemented a policy-driven RBAC framework to enforce role-based access control across a multi-role user system - Built bulk email and push notification pipelines using Amazon SES and Firebase Cloud Messaging - Built a dynamic filtering system using MongoDB aggregation pipelines to enable complex ride data querying for reporting and analytics - Developed reusable frontend components with Ant Design, adopted across multiple product modules - Developed an AI-powered resume analysis pipeline using LLMs for ATS scoring, skill extraction, and improvement recommendations - Proposed architecture improvements recognized by senior leadership, contributing to cross-team collaboration
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Get in touch
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