Abhijit Singh
@Noodles
Abhijit Singh
@Noodles
5× Hackathon Winner | AI, Automation & Multi-Agent Systems | Founder of The Big O
5× Hackathon Winner | AI, Automation & Multi-Agent Systems | Founder of The Big O
Python
MySQL
Bash
Ethereum
Linux
Bangalore, India
👋 Hey, I'm Abhijit Kumar Singh
🎓 Third-year Computer Science & Data Science student at Acharya Institute of Technology, Bengaluru
💡 Passionate about AI, automation, and building systems that break barriers
🚀 Always exploring new ways to turn data into impactful solutions
🛠️ Tech Stack
- Languages: Python, Java, Bash, Fish, Zsh
- Frameworks & Libraries: Flask, FastAPI, Django, scikit-learn, TensorFlow, Hugging Face Transformers, XGBoost
- Databases: MongoDB, MariaDB, MySQL, Redis, PostgreSQL, Neo4j
- Tools & Systems: Linux, Git, Docker, KVM, QEMU, LangChain, LangGraph, MCP/FastMCP, N8N
- Other Skills: Prompt Engineering, Database Design, System Architecture, Automation
🏆 Achievements
-
4× Hackathon Winner
- 🥇 SDG Forge 2025 (National level)
- 🥇 Eureka Hackathon 2025 (College level)
- 🏆 AI MUSE Hackathon (State level)
- 🥉 CypherQuest 2025 (Zonal level)
-
Founder & President of The Big O Tech Club
-
Organizer of Ignite O(1) Tech Fest (CTF, coding contests, prompt engineering challenges)
-
Speaker at workshops on Python for Data Science & Analytics
💼 Projects
- MedAssist → Healthcare AI platform with predictive ML & explainable multi-agent systems.
- ResumeParser → NLP-powered candidate-role matching + calendar/email integration.
- Vaidya Bot → RAG-based multimodal healthcare assistant (voice, image, text).
- Nirpeksh → Media bias detection using Gemini 2.5 Pro + RAG pipeline.
- Groundwater Predictor → 95% accurate TensorFlow model deployed with Django + React.
- Bankify → Secure banking system with RSA encryption & SHA-512 hashing.
🌱 What I’m Up To
- Building with RAG systems, LLMs, and automation workflows
- Experimenting with multi-agent frameworks (LangGraph, MCP)
- Actively contributing to open-source projects & utilities
- Exploring how AI can be made inclusive and accessible at scale