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Rajan-vish/README.md

Hi there, I'm Rajan Kumar Vishwakarma πŸ‘‹

Software Development Engineer | Full-Stack & Backend Systems | Applied AI/ML

Email LinkedIn GitHub

Codeforces Specialist LeetCode Solved

πŸš€ Passionate about engineering scalable backend systems, low-latency microservices, and production GenAI/RAG architectures. Active competitive programmer with 610+ algorithmic challenges solved on LeetCode and Specialist rank on Codeforces.


πŸ“Œ Executive Summary

  • 🎯 Target Roles: Software Development Engineer (SDE) Intern, Backend Developer Intern, Full-Stack Developer Intern, AI/ML Engineering Intern.
  • πŸ† Algorithmic Excellence:
    • Codeforces Specialist (@rajan_pant, Max Rating: 1420)
    • 614+ Problems Solved on LeetCode (@unbitten): 388 Medium, 180 Easy, 46 Hard.
    • Deep foundations in Graph Algorithms, Dynamic Programming, Tree Traversals, Greedy Approaches, and Data Structure Design.
  • 🧠 Applied AI & GenAI: Production Retrieval-Augmented Generation (Hybrid Dense-Sparse RAG + BM25 + Reciprocal Rank Fusion), Knowledge Graph RAG, Upstash Redis caching (<5ms response), and MLOps observability.
  • πŸ’» Core Engineering: High-throughput distributed backends, RESTful API architecture, NoSQL & SQL data modeling, Redis caching strategies, WebSockets (Socket.io), and containerization with Docker.

πŸ† Competitive Programming & Problem Solving

πŸ”· Codeforces Specialist

Handle: @rajan_pant | Max Rating: 1420

Demonstrated problem-solving speed in timed contests across Combinatorics, Number Theory, Trees, and Graph theory.

πŸ”Ά LeetCode Problem Solver

Handle: @unbitten | 614+ Problems Solved

388 Medium | 180 Easy | 46 Hard

Strong algorithmic proficiency in Dynamic Programming, Binary Search, Heaps, and Backtracking.

LeetCode Stats Card Codeforces Stats Card

πŸ› οΈ Technical Stack & Skills

Languages
Backend & APIs
AI / ML & Retrieval
Databases & Caching
Frontend UI
DevOps & Tools

πŸš€ Featured Flagship Projects

Domain: Applied AI / ML, Distributed Backend, Full-Stack | Stack: React 19 (Vite), FastAPI, ChromaDB, Upstash Redis, Google Gemini 3.8 Flash, PyMuPDF
🌐 Live Demo: ai-rag-chatbot-frontend-v5sv.onrender.com | πŸ“– API Docs: ai-rag-chatbot-backend-v5sv.onrender.com/docs

  • React 19 + Vite Modern SPA: High-performance client with multi-thread session history, interactive citation verification drawer, and real-time MLOps observability charts.
  • Sub-5ms Query Acceleration: Integrated Upstash Cloud Redis caching layer cutting response latency from ~1,400ms down to <5ms (99.6% speedup) with auto-invalidation on document mutations.
  • Hybrid Retrieval (Dense + Sparse): Combines dense 768-dim semantic vectors (ChromaDB) with BM25 keyword matching using Reciprocal Rank Fusion (RRF) to eliminate cosine-similarity false positives.
  • Tenant-Scoped Session & Cache Isolation: Rigorous user_id partitioning on documents and Redis keys, preventing cross-tenant data leakage.
  • Voice Conversation Loop & Robust Testing: Full STT $\rightarrow$ RAG $\rightarrow$ TTS pipeline backed by automated Pytest unit and integration tests in CI/CD.

Domain: Full-Stack Web Development, Cloud Services, Authentication | Stack: React (Vite), Node.js, Express, MongoDB, Tailwind CSS, Google OAuth 2.0, ImageKit
🌐 Live Demo: wheelio-spua.vercel.app

  • End-to-End Car Rental Platform: Complete multi-role platform allowing customers to search, filter, and book rental vehicles while providing fleet owners an analytics dashboard for inventory and reservation management.
  • Dual Authentication Architecture: Secure JWT email/password auth coupled with Google OAuth 2.0 Authorization Code flow and smart first-time onboarding.
  • Location & Cloud Media Services: Integrated Geoapify Geocoding autocomplete for location-based pickup routing and ImageKit CDN for cloud vehicle image uploads.
  • Modern Responsive UX: Built with React Router v7, Context API state management, Lucide icons, Hot Toast notifications, and a persistent dark mode toggle.

Domain: Full-Stack & Generative AI, State Management | Stack: React, Vite, Redux Toolkit, Node.js, Express, MongoDB, OpenAI API, ImageKit
🌐 Live Demo: resume-phi-teal-98.vercel.app

  • AI Content Enhancement: Leverages OpenAI API to generate ATS-optimized professional summaries, bullet points, and skills recommendations tailored to target job descriptions.
  • Centralized Redux State Management: Manages multi-step resume creation forms with dynamic real-time live preview rendering and instant PDF document export.
  • Secure Backend Microservice: Express.js REST API with JWT-based session security, MongoDB persistent profile storage, and cloud asset hosting via ImageKit.

Domain: Full-Stack SaaS, Data Analytics, Microservices | Stack: TypeScript, React, Node.js, Express, MongoDB, Cron, Cloudinary
🌐 Live Demo: finance-tracker-e1pe.vercel.app

  • Advanced MongoDB Aggregation Analytics: High-efficiency aggregation pipelines processing real-time expense breakdowns, income/spend comparisons, and multi-date financial health graphs.
  • Automated Lifecycle Processing: Scheduled background cron jobs handling recurring transaction postings and auto-generating monthly fiscal audit reports.
  • Enterprise Features: AI receipt scanning, CSV bulk transaction import/export, Cloudinary profile media integration, and secure JWT authentication.

Domain: Backend & Full-Stack Systems, Real-Time WebSockets | Stack: React, Material-UI, Node.js, Express, MongoDB Atlas, Socket.io, Docker

  • Real-Time Event Operations: WebSocket-powered bi-directional event notifications ensuring immediate updates when events are scheduled, modified, or registrations cap out.
  • Role-Based Access Control (RBAC): Distinct authorization workflows for Student attendees (1-click registration, personal history) and Admin coordinators (live analytics, attendee verification).
  • Containerized Infrastructure: Docker and Docker Compose configuration for one-command local orchestration and environment parity.


πŸ“¬ Connect With Me

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