Mar 2022 – Dec 2024 · 2 yrs 9 mos

May 2021 – Mar 2022 · 10 mos · United States

• Optimized Computer Vision data annotation processes through ML models in the loop

Jun 2020 – Sep 2020 · 3 mos

• Out-of-distribution generalization of immune cell classification models.

Sep 2019 – Mar 2021 · 1 yr 6 mos · La Jolla

• Teaching:
• CSE101 - Design and Analysis of Algorithms
• ECE109 - Engineering Probability and Statistics
• CSE252A - Computer Vision
• Research:
• Latent Domain Discovery For Domain Adaptation: Formulated domain adaptation as discovering latent source domains and aligning conditionals. Submitted to AAAI 2021. Guide: Prof. Manmohan Chandraker
• Test-time Unsupervised Training of Neural Networks For Human Pose. Proposed reconstruction loss through keypoint bottleneck to guide human pose estimation at test time. >10% improvement in PCKh. Guide: Prof. Xiaolong Wang.

Sep 2018 – May 2019 · 8 mos · Mumbai Area, India

• Worked on human pose sub problems including uncertainty, weakly/un supervised methods, multi-person.
• Published conference papers at CVPR 2020, 3DV 2019 and a workshop paper at CVPR 2019.
• Guide: Dr. Arjun Jain

Jan 2018 – Aug 2018 · 7 mos · Mumbai Area, India

• i) Full stack software development for high-performance, computation intensive FO analytics and risk (VAR, FRTB)
• ii) Matching FX derivatives pricing, rate curves, vol surfaces against market standards
• iii) Solving low-latency heisenbugs.

Jul 2016 – Dec 2017 · 1 yr 5 mos · Mumbai Area, India

Jul 2015 – Jul 2016 · 1 yr · Mumbai Area, India

Jun 2013 – Sep 2013 · 3 mos