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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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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Food_Vision_101
Food_Vision_101 PublicThis is an open source project which classifies the given food image to 101 different classes based on Food vision 101 dataset and trained on EFFnetb2 model deployed on Hugging Face spaces
Jupyter Notebook
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