Emon Bepari Emon143Nerd

Hi there, I'm Emon Bepari 👋

Software Engineer specializing in multi-role real-time web applications, AI/RAG architectures, and computer vision systems.

🎓 Education: B.Sc. in Computer Science & Engineering (CSE) at United International University (UIU) | CGPA: 3.91 / 4.00.
👨‍🏫 Experience: Former Undergraduate Teaching Assistant (UGA) & Researcher at UIU Network & IoT Lab.
💡 Core Expertise: Full-Stack Engineering (Next.js, Express.js, TypeScript, PostgreSQL, Prisma), AI Integration (RAG, Redis, YOLOv8, FastAPI), and IoT Systems.
🌱 Current Focus: Scaling AI-augmented software architectures and real-time distributed applications.

Category	Technologies & Tools
Languages	`JavaScript`, `TypeScript`, `Python`, `C++`, `SQL`
Frontend	`Next.js`, `React.js`, `Tailwind CSS`, `shadcn/ui`, `TanStack Query`
Backend & APIs	`Node.js`, `Express.js`, `REST APIs`, `FastAPI`, `Prisma ORM`, `Better-Auth`
Databases & Caching	`PostgreSQL`, `Redis`, `MongoDB Atlas`, `Neon`
AI & ML	`RAG Architectures`, `YOLOv8`, `Context-Driven Prompt Engineering`
DevOps & Tools	`Git`, `GitHub Actions`, `Vercel`, `Render`, `Postman`, `Stripe Webhooks`

Stack: Next.js, Node.js, Express.js, TypeScript, PostgreSQL, Prisma, Stripe, Better-Auth, Redis, RAG, TanStack Query, shadcn/ui

Frontend Repo: e-doctor-frontend | Backend Repo: healthcare-backend
Architected an end-to-end multi-role healthcare platform featuring an AI medical assistant using RAG and Redis for rapid, context-aware clinical data retrieval.
Integrated Better-Auth for secure multi-role authentication, automated background scheduling via cron jobs for notifications, and Stripe webhooks for payment processing.

Stack: React.js, Express.js, MongoDB Atlas, YOLOv8, Python FastAPI

Live Demo: ShasthoAI Platform | Main Repo: Shastho-AI-fracture-detection | Dataset Repo: grazpedwri_project
Conceived and architected a bone-fracture detection system, curating a specialized dataset to train a high-performance YOLOv8 model.
Deployed the AI model service via a Python FastAPI microservice integrated into a full-stack web app.

Stack: Python, Raspberry Pi, OCR.space API, gTTS, IoT

Repository: TechNerds_Micro_lab
Developed an embedded IoT healthcare system featuring real-time OCR prescription scanning, automated text-to-speech feedback for medicine verification, and patient health monitoring.

🎓 Academic Excellence: Achieved 3.91 / 4.00 CGPA with 100% merit scholarship in 6 trimesters at UIU.
🥇 Champions Award: Electronics Lab competition for an automated shuttle service IoT project.
🥈 1st Runner-Up Award: Microprocessors Lab competition for the smart wheelchair and real-time patient health monitoring system.

Built with passion for building scalable, AI-driven software solutions.