Atharva Kurumbhatte

Ekta Mulkalwar

Screened

Junior Machine Learning & Full-Stack Engineer specializing in applied AI systems

Los Angeles, CA2y exp

“Master’s thesis focused on building and deploying a gait-based biometric authentication system using mobile accelerometer time-series data as an alternative to passwords/2FA. Emphasized real-world robustness by addressing sensor noise and variability (phone placement, walking speed, footwear) and improving safety using biometric metrics like FAR/FRR and EER, while collaborating closely with a non-ML thesis advisor.”

“Private equity fund internship experience sourcing and outbounding to founders (notably B2B SaaS and healthcare), using AI-personalized cold emails to generate responses and progress conversations through NDA, financials review, and detailed modeling. Demonstrates structured discovery and diligence rigor, including pushing for segment-level data to enable long-term cash flow modeling and making pass/continue decisions against investment criteria.”