Anmol Singh Sethi

Senior Software Engineer at Meta, San Francisco

I am a passionate, motivated, and enthusiastic individual, based out of San Francisco and enthralled by the ways technology affects people. Through technology, I want to work on projects that impact the lives of millions of people in a positive way.

Experience

Senior Software Engineer, Meta

Jan 2023 – Present

Instagram Ads · Menlo Park, CA

Software Engineer Intern, Meta

May 2022 – Aug 2022

FB Lite Reels · Menlo Park, CA

Teaching Assistant, Stony Brook University

Jan 2022 – Dec 2022

New York, United States

MS TA for CSE 518, Foundations of Human Computer Interaction, under Prof. Xiaojun Bi (Aug–Dec 2022)
MS Grader for CSE 416, Software Engineering, under Prof. Shuai Mu (Feb–May 2022)
MS TA for CSE 160, Object-Oriented Programming for Comp Sci. Honors, under Prof. Paul Fodor (Jan–May 2022)

Software Engineer I, Ola

Sep 2020 – Aug 2021

Bengaluru, Karnataka, India

Android Developer on the Ola Cabs consumer app. Collaborated extensively with backend teams on API design and integration, owned the insurance flows and increased associated revenue by 105% within three months, and built and integrated the Ola Foods module, an online food ordering service.

Software Engineer, Ola

Jan 2020 – Sep 2020

Bengaluru, Karnataka, India

Summer Analyst, Citi

May 2019 – Jul 2019

Equities and Cash Business Unit · Pune, Maharashtra, India

Worked on Project Honeybee, a distributed automated test execution framework built on Spring, Apache Camel, and H2. Analyzed test JARs and split them into chunks executed across distributed systems, significantly reducing test execution time as a proof of concept. Received a Pre-Placement Offer.

Research Intern, LYTIQ GmbH

Jan 2019 – Jun 2019

Germany (Remote)

Researched “Mitosis Detection Using Image Segmentation and Object Detection” under the joint supervision of Dr. Ranjana Vyas and Prof. Artus Krohn-Grimberghe, developing an ML model to predict mitotic count in tissue slides for early cancer detection using U-Net for segmentation and YOLO for object detection. Presented at the IEEE CICT Conference, 2019.

Publications

Mitosis Detection using Image Segmentation and Object Detection
IEEE CICT Conference, 2019