Apr 2024 – Jun 2024 · 2 mos · Noida · Hybrid

Apr 2023 – Apr 2024 · 1 yr · Bengaluru, Karnataka, India

Apr 2021 – Apr 2023 · 2 yrs · Bengaluru, Karnataka, India

Jul 2020 – Apr 2021 · 9 mos · Gurugram, Haryana, India

• Worked on Expedia's Fraud Detection Stack by contributing to services which collect transaction attributes, and perform computations on them in real time. These computations were then used to predict if a transaction fraudulent.

May 2019 – Jul 2019 · 2 mos · Gurgaon, India

• Worked with Expedia’s Virtual Agent to find the common pain points for customers in their interactions with the chatbot & predicting their level of frustration in real time. Received a pre-placement offer.

Jan 2019 – May 2020 · 1 yr 4 mos

• ECE230: Fields and Waves
• MTH201: Probability and Statistics
• Responsible for teaching in tutorial sessions, correcting submissions & handling doubts.

May 2018 – Jul 2019 · 1 yr 2 mos

• Advisors: Dr. Mayank Vatsa, Dr. Richa Singh
• Contributed to building and evaluating a drone-shot video dataset for person identification & worked on an algorithm for face recognition in very low resolution images extracted from the drone videos. Notable experiments include a one-shot learning siamese network for VGGFace and loss functions using DeepLDA and domain loss. Dataset research accepted to FG 2019.