RUDRAKSH FANSE
@RFANSE
RUDRAKSH FANSE
@RFANSE
Computer Science undergraduate at SVNIT Surat with experience in full-stack and backend development.
Computer Science undergraduate at SVNIT Surat with experience in full-stack and backend development.
Surat, India
Rudraksh Fanse
About Me
I am a Computer Science undergraduate at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, with a strong academic record and hands-on experience in full-stack development, backend systems, and AI-driven platforms. I enjoy building scalable systems, solving complex problems, and working at the intersection of software engineering and applied AI.
Degree: B.Tech in Computer Science
Duration: 2024 – Present
CGPA: 9.44
Contact:
Phone: +91 9408569457
Email: [email protected]
Technical Skills
Programming Languages
C++, Python, JavaScript, C
Web & Backend Development
React, Next.js
Node.js, Express.js, Django
FastAPI
Databases & Tools
MongoDB, PostgreSQL, Firebase, Redis
Git, GitHub
Data & Machine Learning
Regression Models
Pandas, NumPy, Matplotlib
Projects
Joy Juncture — Gamified E-Commerce Platform (2026)
Technologies: Next.js, TypeScript, Firebase, Redis, Razorpay
Developed a full-stack gamified e-commerce platform featuring over 14 interactive games and a four-tier XP progression system.
Designed and implemented more than 30 REST APIs with Redis-based leaderboards and analytics, achieving a 10× improvement in query performance.
Integrated Razorpay with secure payment verification and automated reward distribution.
Genesis — AI Multi-Agent Content Platform (2026)
Technologies: Next.js, FastAPI, Vertex AI, LangGraph, PostgreSQL, Redis
Built a structured multi-agent AI workflow (Coordinator, Planner, Executor, Reviewer) using LangGraph for stateful content generation.
Integrated Gemini 2.5 Flash via LangChain and implemented Retrieval-Augmented Generation using pgvector with 1408-dimension embeddings and cosine similarity search.
Designed a three-layer caching architecture (Redis, Supabase, PostgreSQL) to minimize redundant LLM calls and improve system efficiency.
Implemented OAuth 2.0–based automated publishing pipelines for LinkedIn and Twitter/X.
Achievements
Winner, Genesis – Generative AI Competition (Blog/Content Creation Track)
Winner, Google Winter of Code (GWOC) – Website development for Joy Juncture
Solved over 850 Data Structures and Algorithms problems on LeetCode
Participant in Hackofiesta 6.0 and HACKOUT 2025 (DAIICT)
Competitive Programming
LeetCode: 850+ problems solved
Codeforces: Maximum rating 1070
CodeChef: Maximum rating 1348
ICPC Amritapuri 2025: Qualifying Round Participant
Interests
Scalable backend and distributed systems
AI agents and LLM orchestration
Performance optimization and system design