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 93โ95% accuracy.
I am currently working as an AI Intern at Polygnan Foundation, contributing to full-stack AI applications and GenAI-driven solutions, 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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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 suโฆ
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 usingโฆ
Jupyter Notebook
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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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