🔭 Currently Working On:
- Generative AI: Fine-tuning LLMs, optimizing RAG systems, and deploying AI models for real-world applications.
- Web Development: Building full-stack applications with a focus on performance and scalability.
👯 Looking to Collaborate On:
- AI/ML projects, LLM fine-tuning, and RAG implementations.
- Web development projects (React, Next.js, Firebase, Supabase).
- Open-source projects in cloud deployment, automation, and DevOps.
🌱 Currently Learning:
- Advanced fine-tuning techniques for Llama3.1 and Gemma models.
- Swarm AI and multi-agent LLM frameworks.
- Firebase and cloud-based deployment strategies.
💬 Ask Me About:
- LLM fine-tuning, RAG systems, and AI infrastructure.
- Web development (React.js, Firebase, Next.js).
- Cloud computing and DevOps (Docker, DigitalOcean, CI/CD).
⚡ Fun Fact:
- I built and deployed Phoenix, a personal AI assistant with advanced function calling!
- My HepaScope project for AI-powered liver segmentation was recognized at Duke-Harvard-AI Live Global Hackathon.
- 🌟 Duke-Harvard-AI Live Global Hackathon - HepaScope for AI-powered Liver Segmentation
- 🚀 KJSCE Devopia Hackathon - Smart Home Automation System
- 💡 SUSTAIN-A-THON 2024 - Indian Oil Corporation Ltd.
- 🔬 Trustworthy AI Lab x GES UCLA Hackathon - Data Clean Room Platform
- 🛠️ Logithon - Datta Meghe College of Engineering
- 🌐 Flipkart Hackathon
- Phoenix – AI-powered personal assistant
- Orchnex – AI Orchestration System using Llama3.1 and Gemini
- Reflective Journal Assistant Echo – AI-powered RAG-based journal
- TinyLlama Local Deployment – LLM Web App hosted on DigitalOcean
- Digital Dice – Digi-Pro Competition Winner
- Noise Detector for Silence Zones



