AI/ML Engineer specializing in NLP and Large Language Models, currently pursuing a degree in CSE (AI & ML). I have hands-on experience building and fine-tuning production-grade AI systems, including LLaMA-based applications, semantic search pipelines, and computer vision models with 93–95% accuracy.
I am currently contributing to full-stack AI applications, GenAI-driven solutions and Building Agentic Solutions for real world poblems, while also actively participating in open-source programs like Hacktoberfest and Social Winter of Code. My work focuses on developing scalable ML systems, optimizing model performance, and applying AI to real-world problems.
Highlights
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Sentinal-SRE
Sentinal-SRE PublicA production-grade, multi-agent DevOps orchestration system that detects incidents from live logs, performs Root Cause Analysis, self-corrects its own patches through a cyclic verification loop, an…
Python 2
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Mega_ai
Mega_ai PublicMega AI is a containerized, local-first multi-agent orchestration prototype built with FastAPI, PostgreSQL, SQLModel, Server-Sent Events, and Ollama. It demonstrates dynamic LLM-based routing, shar…
Python
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Vision_Transformer_Paper_Replication
Vision_Transformer_Paper_Replication PublicA PyTorch implementation that replicates the Vision Transformer (ViT) paper from scratch, building each component step-by-step and applying it to food image classification with pizza, steak, and su…
Jupyter Notebook
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LawLite
LawLite PublicLawLite is a fine-tuned Large Language Model (LLM) designed to simplify complex legal documents into clear, plain-English summaries. Built on top of open-source LLaMA-2-7B model and optimized using…
Jupyter Notebook
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Carrier_Conversation
Carrier_Conversation PublicA personal AI-powered career assistant built with Groq LLMs and Gradio, designed to answer questions about my background, skills, and experience using my resume and LinkedIn data. The application s…
Python
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