Child Development Lab | College Park, MD
- Designed object detection pipelines with SAM2, improving eye-tracking video analysis across 300+ samples
- Develop evaluation workflows by developing Python scripts to calculate metrics for video data
Fun fact about me: I once had an 800 day streak on Duolingo learning German (rip Duo)
I’m a junior at the University of Maryland studying Computer Science with a minor in Computational Finance. I’ve been programming for over six years as a self-taught, curiosity-driven developer. My technical strengths include Python, SQL, and machine learning. I am also a certified Microsoft Azure Data Science Associate. At Lavender Lab, I served as a lead software development research assistant, where I engineered cloud-based automated systems that support a long-term study involving more than 10,000 participants. I am also the creator of VacciSafe, an Android app hosted on Google Play Store and is helping 100+ parents keep track of their children's vaccine schedule. More recently, I built a personal AI news curator agent powered by LLM and graph-based recommendations, a project that allows me to efficiently track and explore current affairs daily.
Engineered cloud-based solutions saving 50+ hours of manual work each week
Skills: Python, SQL, Microsoft Azure
Gained practical skills and expertise using Azure ML services for developing ML and LLM powered applications
Skills: Data Science, ML, Azure
Lead organization and hosting of UMD's flagship cricket tournament with 100+ participants every semester
Managing $10,000 budget and execute fundraising strategies boosting funds by 30%
Android App on Google Play Store
Helping 100+ parents keep track of their children's vaccine schedule
Skills: Java, SQLite
Built my current daily news dashboard by leveraging graph-based recommendation, and NER, zero-shot classification for entity and theme extraction. Also features deep-dive exploration for thorough topic research.
Skills: Graph Databases (Neo4j), MongoDB, NLP, HuggingFace
Capstone for data science course
Implemented ML models and optimization algorithms with Azure ML pipelines, AutoML, and MLflow to generate high performing Cricket fantasy teams. Achieved 93% fantasy efficiency averaging 7 of 11 top players per match
Skills: Azure ML, MLFlow, Data Wrangling, MLOps/p>
Child Development Lab | College Park, MD
Lavender Lab | College Park, MD
Zero Integration Private Limited | Surat, India
Columbia University’s Summer Immersion Program
HarvardX: an Online Learning Initiative by Harvard University
HarvardX: an Online Learning Initiative by Harvard University
HarvardX: an Online Learning Initiative by Harvard University