Driven by a passion for Machine Learning, I have achieved significant recognition in prestigious competitions, including 47th place out of 75,000 participants in the Amazon Machine Learning Challenge 2024, ranking in the top 99.97 percentile. I've also claimed 1st place at the Google Developer Students Club WoW ’24 Hackathon, 2nd place at the ANITS Machine Learning Hackathon, and 3rd place in the CacheHo Hackathon.My experience includes interning as a Gen AI Engineer, where I worked with Large Language Models (LLMs) on Retrieval Augmented Generation (R.A.G.) and Knowledge Graphs; interning as a Software Dev Engineer (ML), where I optimized web frameworks and enhanced user interfaces; and interning as a Data Analyst, where I've cleaned, forecasted and visualized web-scraped data, achieving 82.64% prediction accuracy for blood donations using Scikit-learn.I have a robust foundation in programming and web technologies, with skills in:- Programming Languages: Python, JavaScript, C++, PHP, Go- Frameworks: Flask, Django, Node, Selenium- Data Science Tools: Scikit-learn, TensorFlow, PyTorch- Databases: MongoDB, Supabase, Firebase, SQL- Cloud & DevOps: AWS, Azure, GCP, DevOps