Welcome to my portfolio!
Scroll down and get to know the ABCs of me: AI, Building, and Collaboration.
I'm a final-year Computer Science undergraduate, specialising in Machine Learning.
Over the years, I’ve been involved in
Hackathons
Healthcare Ops
Tech Consulting
Through it all, I’ve found that the most fulfilling work is the kind that helps people.
Teaching others and building tools that make someone’s day easier is what resonates with me most.
That’s what drew me to Tech – the ability to scale impact. A single well-designed system can solve problems far beyond what one person could do alone.
With Machine Learning, there’s an added layer of intrigue: bio-mimicry. Systems that evolve and learn like we do. The idea of nurturing digital intelligence from scratch fascinates me.
I’ve worked in domains ranging from Medical Crisis Response and Telehealth, to GenAI R&D and Enterprise AI Systems Whatever the challenge, I show up with curiosity, ownership, and the drive to build tech that actually helps people.
Exploratory Data Analysis and Predictive Analysis using machine learning to predict the landing success of SpaceX Falcon 9 rockets.
Tech used: REST API, BeautifulSoup, SQL, Folium, prediction models(Logistic Regression, SVM, KNN and Decision Tree) to gauge the success rate of future launches.
Multi-modal offline assistant that leverages local LLMs to summarise, retrieve and quiz on lecture material.
Tech used: FAISS, SentenceTransformers, FastAPI, Tailwind, ChromaDB, Markitdown
Exploration of Space Race trends between the USSR and the USA from 1957 and creation of current space trends word cloud.
Tech used: Pandas, Matplotlib, Plotly, BeautifulSoup
Let's connect! Reach out via LinkedIn or explore my GitHub.