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rahul810050/README.md

Rahul Naskar


Education

Bachelor of Technology
Indian Institute of Information Technology, Lucknow
Sept 2023 – June 2025


Technical Skills

Programming Languages:
C++, C, Python, JavaScript, SQL, PostgreSQL, Java

Frameworks & Libraries:
Next.js, React, TypeScript, MongoDB, TailwindCSS, Express, Hono.js, Mongoose, WebSocket, WebRTC, Zustand

DevOps & Cloud Tools:
Docker, Kubernetes, Nginx, Apache, HAProxy, Git, GitHub Actions, CI/CD, Prometheus (PromQL), Grafana, New Relic (NRQL), Datadog, AWS (ECS, ECR, Lambda), Google Cloud Platform, Azure, Cloudflare, Vercel, Firebase

Tools & Operating Systems:
Linux (Arch, Ubuntu), Windows, Cisco Packet Tracer, Postman, Hoppscotch, VS Code, Bash Scripting

Academic Coursework:
Data Structures and Algorithms, DBMS, OOPS, Computer Networking, Operating Systems, Software Engineering

Soft Skills:
Teamwork, Communication, Leadership, Coordination, Problem Solving, Algorithmic Thinking


Projects

RealTime Metaverse Workspace (GitHub)

Tech Stack: Next.js, TypeScript, TailwindCSS, ShadCN, WebSockets, WebRTC, Express, PostgreSQL, Prisma, Three.js

  • Built a web-based multiplayer virtual world supporting real-time voice, video, and text chat using WebSockets.
  • Developed immersive 3D environments and smooth navigation with Three.js and React for engaging collaboration.
  • Implemented customizable digital spaces enabling dynamic movement, interaction, and remote team collaboration.
  • Engineered a scalable architecture with Express, PostgreSQL, and Prisma to support seamless real-time user experiences.

Dhan-Rakshak (GitHub)

Tech Stack: Next.js, TypeScript, Google Cloud Console, Python, Firebase Firestore/Auth, Fi MCP Server, Google Cloud, TailwindCSS

  • Developed an AI-powered financial analytics engine helping users track expenses, optimize taxes, and plan investments.
  • Integrated Google Gemini + Fi MCP Server for contextual financial reasoning, enabling AI-backed stock insights, personalized SIP plans, and retirement projections.
  • Implemented OCR-driven workflows using Vision API & Document AI to parse receipts and Form-16s, generating instant tax-saving suggestions.
  • Deployed on Google Cloud ensuring secure, privacy-first conversational experience for finance management.

Trainer.ai (GitHub)

Tech Stack: Next.js, TypeScript, Stream, VapiAI, Google AI Studio, Neon, Prisma, Clerk, TailwindCSS, ShadCN

  • Built an AI-powered fitness trainer generating personalized workout & diet plans based on user inputs.
  • Integrated VapiAI & Google AI Studio to enhance recommendation accuracy with LLM-driven insights.
  • Implemented dynamic plan adjustments and progress tracking for real-time personalization.
  • Optimized user experience with secure authentication, responsive UI, and seamless data flow via Neon & Prisma.

Achievements

  • Google Agentic AI Hackathon Finalist
    Selected as a finalist in the Google Agentic AI Hackathon 2025, organized by Hack2Skill.

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