Urban Air Quality Toolkit
Developed an interactive toolkit for detecting urban pollution hotspots using crowdsourced data, real-time path analysis, and Tableau visualizations.
B.Tech CSE Student
B.Tech CSE student with internship experience and project work in Python, machine learning, computer vision, backend development, and AI applications.
Octanet Pvt. Ltd.
May 2024 – June 2024
Developed an ATM model in Python using OOP for modularity and scalability; optimized performance, saving 15 hours of work time.
Unique Training Solutions
Oct 2024 – Nov 2024
Earned Azure AI Fundamentals 900 certification and completed self-paced and instructor-led training.
B.Tech, Computer Science and Engineering
2022 – 2026 (Expected)
Class XII, CBSE
2020 – 2021
Aggregate: 82%
Class X, CBSE
2018 – 2019
Aggregate: 76%
Developed an interactive toolkit for detecting urban pollution hotspots using crowdsourced data, real-time path analysis, and Tableau visualizations.
Built a conversational AI agent using FastAPI, LangGraph, and Streamlit to schedule meetings on Google Calendar through natural language input. Integrated the Google Calendar API for real-time appointment booking and retrieval, with intent recognition and slot filling.
Built an OpenCV pipeline to extract frames from video data for machine learning inference and assisted in training and validating vision-based models for site monitoring.
Trained CNN models for pattern detection in financial time-series data; performed data preprocessing, feature engineering, and model evaluation; contributed to a hybrid CNN-LSTM ensemble approach.