Mehedi Hasan
Software Engineer & AI Developer
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Backend-focused engineer building scalable web applications with integrated AI intelligence. I build production-grade applications using Node.js, Next.js, and Python, with a strong foundation in cloud infrastructure.
About
Backend-focused engineer building scalable web applications with integrated AI intelligence. I build production-grade applications using Node.js, Next.js, and Python, with a strong foundation in cloud infrastructure.
Currently in my final year at SUST (CGPA: 3.61/4.00), I've built production-grade AI systems-including RAG pipelines , voice-first platforms, a dubbing platform and developed web solutions to streamline operations and strengthen digital infrastructure.
Location
Chandpur, Bangladesh
Focus Areas
Technical Expertise
Full-Stack Development
End-to-end application development from database design to frontend implementation
AI/ML Integration
RAG pipeline design, vector database optimization, semantic search, LLM orchestration
API Design & Integration
RESTful APIs, third-party service integration
Performance Optimization
Database query optimization, caching strategies
System Architecture
Scalable database schemas, containerization
DevOps & Deployment
Docker containerization, Cloud deployment
Tech Stack
Projects
Experience & Journey
Trainee Software Engineer
recurse.ai
Designed and developed full-stack AI dubbing platform (clearvocals.ai) with Next.js, Express.js, integrating AssemblyAI & Fish-speech open source Voice Cloning. Built automated WordPress plugin generation system using LangChain, RAG pipelines, custom MCP servers, and multi-LLM orchestration (Claude, Gemini, OpenAI). Developed production-ready WordPress assistant chatbot with RAG, real-time web search, and autonomous content generation.
Lead Developer
Brikkhobondhon IT Department
Leading the Office Digitalisation Project, developing website and mobile app solutions to streamline organizational operations and enhance digital infrastructure.
B.Sc. Computer Science & Engineering
Shahjalal University of Science and Technology (SUST)
Final year Computer Science student with CGPA 3.61/4.00. Focus on AI/ML, RAG systems, Full-Stack Development, and Competitive Programming. Located in Sylhet, Bangladesh.
Competitive Programming
Algorithm Expertise
Research Vault
Optimizing Post-Quantum LWE Encryption for Large Image Data
B.Sc. Thesis, SUST(In Progress) • 2025-26
A comprehensive hybrid cryptographic preprocessing and acceleration framework integrating image compression techniques (RLE, Huffman coding, YCbCr with chroma subsampling) with Strassen's matrix multiplication for LWE-based encryption. Achieved 41.19% average data volume reduction while maintaining lossless compression (PSNR = ∞) and full post-quantum security guarantees.
BanglaNoise-10: A Diverse Audio Dataset for Machine Learning on Urban Environmental Noise in Bangladesh
Data in Brief (Under Review) • 2025
First nationwide South Asian environmental noise dataset containing 5,035 labeled audio clips across 10 urban noise categories. Achieved 98% accuracy with Whisper-Base, 97% with Wav2Vec2-Base. Dataset includes bike, bus, car, CNG auto-rickshaw, construction noise, protest, siren, traffic jam, train, and truck sounds collected across Bangladesh.
Get In Touch
I'm always open to discussing AI projects, collaborations, or engineering challenges. Feel free to reach out!