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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.

Skill iconJavaScript
React
Skill iconMongoDB
Skill iconNodejs
Skill iconExpress.js

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