I was a Zonal Finalist in Women Who Master Hackathon 2026. I also earned Rank 1 in IEEE Summer of Code 2026, was selected for Amazon ML Summer School 2026, and finished in the top 50 globally in a 24-hour HackerRank AI agent hackathon. My IEEE and Amazon program experience is also recorded in linkedin profile.
In freelance work, a client gave me two full epics; I completed both in two days, well before the deadline, and received extra pay for delivering early. My approach is to break an epic into small tasks on day one, ship the boring parts first, and keep the client updated so there are no surprises at the end.
I have trained and tuned models end to end: XGBoost for fraud detection reached 0.91 ROC-AUC; a quantized MobileNetV3 reached 87.4% accuracy on the phone; and I used DINOv2 with conformal prediction for calibrated uncertainty.
I have done real test automation work at an internship and built SiteWatch, a small Python and Playwright website health checker, extending my work documented in playwright testing deployed projects. I have also practised data structures and algorithms extensively, and Python is my interview language.
I have given live project demos and pitched projects to judges. I prefer demos to slides because a working product answers half the questions before anyone asks them.