Full Stack Developer | Node.js Backend Specialist | React.js Developer | Python Backend & Deep Learning Engineer
I'm a Backend-Focused Full Stack Developer passionate about crafting scalable, high-performance systems.
My core strength lies in building RESTful APIs, architecting backend infrastructures, and connecting them seamlessly with modern frontends.
💡 I thrive in problem-solving, clean code, and learning cutting-edge tech.
Currently, I’m looking for a full-time backend or full-stack role where I can leverage my expertise in Node.js, Express, and cloud-based microservices.
- Backend: Node.js*, Express.js, FastAPI, Django
- Frontend: React.js*, Next.js, TailwindCSS, Material UI
- Database: PostgreSQL, MongoDB, MySQL, Redis
- DevOps & Tools: Docker, GitHub Actions, Microsoft Azure, Google Cloud
- AI / Deep Learning: Python, TensorFlow, PyTorch, NLP (BERT, GPT-2), Gemini API
- Others: REST APIs, Microservices, WebSockets, JWT Auth, Google OAuth, BULLMQ, Prisma ORM
- 🥇 Top 0.5% in TCS CodeVita Season 12 — Ranked #1961 globally out of 440,000+ participants
- 💻 Hands-on Internship Experience in Web Development (3 months - onsite) & Google Cloud GenAI (2 months - virtual)
- 🧩 Architected Production-Ready Projects like Streamlet and NexusCore
- 🔥 Recognized for building optimized, scalable, and maintainable backend systems
| 🧩 Project | ⚙️ Tech Stack | 📝 Description |
|---|---|---|
| 🎬 Streamlet | Microservices, Node.js, BULLMQ, FFmpeg, React | A microservice based , scalable video streaming platform with asynchronous transcoding, adaptive bitrate streaming (HLS), and real-time updates. |
| 🧠 NexusCore | Node.js, Prisma, PostgreSQL, Redis, RBAC | A next-gen Library ERP backend that enables digital transformation for libraries with robust book, member, and loan management, role-based access, caching, and analytics-ready APIs with multi tanent support. |
| 💬 MeshTalk | MERN, WebRTC, Socket.io | Real-time peer-to-peer video calling & messaging app with low-latency secure communication. |
| 🤖 Question Answering with BART with Memory | Python,PyTorch and Modified BART | Context-aware conversational AI fine-tuned for dialogue-based Q&A. |
“First, solve the problem. Then, write the code.” — John Johnson



