About Me • Tech Arsenal • Contributions • Flagship Projects • GitHub Metrics

Hi! I'm Ayush, a full-stack engineer and open-source contributor. I build web apps, AI integrations, and automated pipelines. Currently, I'm pursuing a B.Tech in Computer Science alongside a minor in AI & Data Science.

I like writing clean, readable code and figuring out how to scale systems. Most of my work involves TypeScript, Python, Next.js, and Supabase. Lately, I've been focused on building custom RAG architectures, database tools, and contributing to core web infrastructure.

Languages & Databases

Frameworks & Tools

Writing open-source software is one of my favorite ways to learn and give back. Here are some of my recent contributions:

• Wikimedia Foundation (MediaWiki Core)

  • Worked on UI performance patches and resolved front-end bugs for the Vector 2022 skin, which serves millions of users globally.
  • Debugged cross-browser issues and worked with senior maintainers using Gerrit, PHP, C++, and JavaScript.

• n8n Community Integrations

  • Created n8n-nodes-nvidia-nim to help developers run NVIDIA NIM models in their workflows.
  • Built custom nodes for Chat LLMs and Vector Embeddings, handling credential authentication and custom API request structures.

AI-Driven Live Technical Interview & Mock Assessment Platform

• Technical Depth: Engineered dynamic NLP assessment pipelines using Gemini API to generate customized questions and evaluate vocal/text responses.
• Core Impact: Implemented real-time audio analysis and system design feedback matrices to simulate live industry screening rounds.
• Tech Stack: Next.js • FastAPI • Gemini API • WebSockets

GenAI Mentorship CRM & Matchmaking Portal

• Technical Depth: Developed a semantic matching engine using RAG (Retrieval Augmented Generation) and pgvector to match mentors and mentees based on developer telemetry.
• Core Impact: Managed distributed organizational data for 185+ open-source organizations participating in GSoC, LFX, and Outreachy.
• Tech Stack: Next.js • Supabase • pgvector • Turborepo

Enterprise Multi-Modal Energy Auditing Suite

• Technical Depth: Built an extraction pipeline using Gemini 1.5 Flash to parse complex utility consumption metrics from scanned MSEDCL utility bills with 99.8% accuracy.
• Core Impact: Designed a formula-safe Excel Injection Engine to programmatically generate ready-to-use audit sheets.
• Tech Stack: Next.js 15 • FastAPI • Supabase RLS • Gemini API

Big Data Gameplay Telemetry & Difficulty-Scaling Classifier

• Technical Depth: Architected an ETL pipeline in Apache Spark to process over 10,000 gameplay events.
• Core Impact: Deployed an XGBoost classifier that predicts candidate performance and scales game difficulty dynamically in real-time.
• Tech Stack: Python • Apache Spark • XGBoost • Flask

Agritech Services Monorepo & Dijkstra-Based Delivery Router

• Technical Depth: Integrated a Python FastAPI microservice that processes crop images to identify plant diseases using deep learning models.
• Core Impact: Designed a Last-mile Delivery Route Optimizer using Dijkstra's algorithm for agricultural logistics.
• Tech Stack: FastAPI • React • Python • Dijkstra's