AI/ML & Web Developer — B.Tech CSE @ SRMIST, KTR | OneEarth & FIU International Hackathon Winner, Washington Hackathon Finalist | Passionate about Data Science, Research, and driving innovation in India’s Power Sector.
I’m a 2nd-year B.Tech Computer Science (Core) student at SRM Institute of Science and Technology, Kattankulathur (Chennai), passionate about blending technology with purpose.
My interests lie in Data Science, Artificial Intelligence, Research, and Frontend Development, and I’m constantly exploring how these domains can be used to solve real-world problems through innovation and collaboration.
I was recently recognized with a Thematic Award at the FIU SCRS Ideathon 2025 by Florida International University, where our team developed an impactful solution, further fueling my passion for tech-driven innovation.
I was recently recognized as a Thematic Winner at the OneEarth Hackathon 2025, where our team NetZero earned a cash prize of £100 for developing an innovative sustainability solution. Our model integrates Virtual Power Purchase Agreements (VPPAs), power derivatives, and the capacity market to accelerate the decarbonization and upliftment of India’s power grids and MSME sector. This recognition further strengthened my drive to apply technology and market mechanisms toward building a more resilient, net-zero future.
A digital solution to automate college administrative processes like attendance warnings, parent communications, and placement data collection.
An AI-powered digital exchange for India's renewable energy, unifying VPPAs, power derivatives, and capacitive markets on a blockchain-backed platform.
An AI-driven soil monitoring system that helps farmers understand their fields in real time — guiding them on what to grow, how to fertilize, and when to irrigate.
Developed a hybrid Deep Learning model (Conv1D, LSTM, Attention) for 5-minute electricity load forecasting. Engineered extensive time-series features including weather, holidays, and lag data.
Built a classifier pipeline to predict rainfall in Australia using Scikit-learn, performing feature engineering and optimization on real-world meteorological data.
Built an ML pipeline to predict Falcon 9 first stage landings. Optimized SVM, Decision Tree, and Logistic Regression models using GridSearchCV to analyze launch costs.
University safety web app with campus-wide SOS alerts, late-night safe-route heatmaps, and coordinated airport car-pooling.
Performed EDA and built regression models (Linear, Ridge, Polynomial) to predict insurance costs based on beneficiary attributes.
Analyzed historical stock prices and revenue for Tesla & GameStop using web scraping (BeautifulSoup) and financial APIs (yfinance).
A neuro-acoustic platform that enhances focus by aligning soundscapes with user brainwave patterns using FFT analysis.
A web-based carbon footprint calculator to help users track and reduce their environmental impact using personalized, actionable insights.
SRMIST KTR, Chennai, India
• Open to internships and collaborations.
