• 🎓 CS Engineering Student (Final Year)
• 🧩 Focus: AI Systems, Backend Architecture, SaaS Engineering
• ⚙️ Building production-grade full-stack apps
• ☁️ Exploring Cloud (AWS), Docker, Kubernetes
• 📚 Learning System Design, Distributed Systems, Scalability
• 🧪 Turning ideas → real usable products

Next.js • Node.js • FastAPI • Computer Vision • Multi-Service Architecture

• Built a face-recognition based attendance system to explore real-world AI deployment beyond prototypes
• Designed a polyglot backend (Node.js + FastAPI) to separate application logic from ML inference workloads
• Tackled challenges around image processing latency, API communication, and service orchestration
• Currently evolving into an open-source, production-ready system with scalability and deployment in mind

🔗 https://github.com/Naman13112004/picture-based-attendance
🌐 https://snap-attend.vercel.app/

Node.js • Express • MongoDB • Redis • System Design

• Built a secure backend system from scratch focusing on authorization, performance, and reliability
• Implemented RBAC, JWT authentication, and password hashing for secure multi-user environments
• Reduced API latency (~2s → ~600ms) using Redis caching and query optimization
• Designed rate limiting + security middleware to prevent abuse and ensure API stability under load
• Tested system robustness using Postman automation and load simulations

🔗 https://github.com/Naman13112004/backend-rbac-task
🌐 https://backend-rbac-task.vercel.app/

WebRTC • WebSockets • AI Systems • Full-Stack Architecture

• Built a real-time video collaboration platform to understand distributed, event-driven systems
• Implemented live transcription + LLM-based summarization, reducing manual note-taking effort (~60%)
• Designed backend workflows for handling concurrent users, real-time events, and session reliability
• Explored limitations of LLM outputs and trade-offs in real-world AI integration
• Integrated authentication, scheduling, and monetization workflows

🔗 https://github.com/Naman13112004/meetai
🌐 https://meetai-rosy.vercel.app/

Systems Programming • Performance • CI/CD

• Built a cross-platform CLI tool to analyze shell history and extract developer usage insights
• Focused on efficient parsing (O(n)) and memory-safe processing using pure STL
• Identified risky commands and usage patterns to improve developer productivity and safety
• Automated release workflows using GitHub Actions CI/CD, reducing manual effort (~90%)
• Implemented semantic versioning and structured logging for maintainable releases

🔗 https://github.com/Naman13112004/cli-flow
🌐 https://github.com/Naman13112004/cli-flow/releases

Next.js • Prisma • SQL • AI Integration

• Built a full-stack finance platform to understand real-world data modeling and user workflows
• Integrated AI-generated financial insights using LLM APIs for smarter decision support
• Designed modular backend architecture for maintainability and feature scalability
• Implemented rate limiting (ArcJet) to ensure API reliability and prevent abuse
• Created interactive dashboards for improved financial tracking and UX

🔗 https://github.com/Naman13112004/welth
🌐 https://welth-ashen-one.vercel.app/

Python • Distributed ML • Privacy-Preserving AI

• Built a federated learning pipeline to explore decentralized AI training without data sharing
• Implemented and compared FedAvg vs FedProx algorithms on non-IID client data
• Trained MobileNetV2 on ~15K medical images, achieving 98.93% accuracy
• Studied performance vs privacy trade-offs in distributed AI systems
• Research work currently under paper submission with structured data splits (70/15/15)

🔗 https://github.com/Naman13112004/Lung-Tumor-FL

• Scalable Backend Systems (Node.js, APIs, DB Design)
• AI Integration in SaaS Products
• System Design (High-Level + Low-Level)
• DevOps: Docker, CI/CD, Kubernetes (learning implementation)
• Distributed Systems & Real-Time Architectures

Full Stack Developer • Software Engineer • Backend Engineer • AI Engineer • SaaS Developer • Next.js Developer • Node.js Developer • TypeScript • System Design • Distributed Systems • REST APIs • WebSockets • Docker • Kubernetes • AWS • Cloud Computing • Scalable Systems • Microservices • Prisma • PostgreSQL • MongoDB • DevOps • CI/CD • Computer Vision • FastAPI

Build real systems. Understand deeply. Scale intelligently.

⭐ If you like what I build, feel free to explore my repos and connect!
⚡ This profile evolves as I grow — check back often!