🔭 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

1. Phoenix – AI-powered personal assistant
2. Orchnex – AI Orchestration System using Llama3.1 and Gemini
3. Reflective Journal Assistant Echo – AI-powered RAG-based journal
4. TinyLlama Local Deployment – LLM Web App hosted on DigitalOcean

1. Google Front-end Clone
2. Blackjack Game
3. Personal Portfolio

1. Digital Dice – Digi-Pro Competition Winner
2. Noise Detector for Silence Zones