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Initializing systems...
Hello, I'm
I'm a | passionate about building intelligent systems.
Computer Science student with a strong interest in Artificial Intelligence and Machine Learning, focused on building practical, real-world solutions. I work mainly with Python and C++, with hands-on experience using AI/ML frameworks and modern development tools.
Strong problem-solving skills with top rankings in hackathons and coding competitions. 1st Rank in CodeChronos among 200+ teams. I enjoy learning new technologies, solving problems, and improving skills through continuous practice.
From data preprocessing to deployment — building complete AI pipelines with FastAPI, Streamlit, Docker, and cloud technologies. Experience in NLP, text processing, information extraction, and event identification.
Built an end-to-end supervised ML system to detect fake/bot Twitter accounts. Engineered 33+ features from user metadata and tweet patterns. Achieved AUC 0.946 (XGBoost) and 0.921 (ensemble). Deployed real-time inference with FastAPI + Streamlit dashboard.
Chunk-based NLP pipeline to process financial PDFs, extract tables, and detect stock events. Processed 100+ pages in <15s, generated 25+ high-confidence insights via NER. Deployed on Docker + Render with an interactive Streamlit dashboard.
An interactive AI-powered fitness assistant built with computer vision and pose estimation. Tracks real-time joint movements to ensure correct exercise form and automatically counts repetitions. Provides personalized feedback using machine learning models.
A deep learning-based robust Attendance Tracking System using real-time face detection and recognition. Built with anti-spoofing measures like blink verification to ensure high accuracy. Deployed via a modern, user-friendly frontend interface for seamless interaction.
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B.Tech — Computer Science & Engineering
Intermediate
Matriculation
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