Atharva Thorat

Machine Learning Research Assistant @ USC Molecular and Computational Biology

About

Currently pursuing a Master’s degree in Computer Science at the University of Southern California, with expected completion in May 2027. Academic background includes a Bachelor of Technology in Computer Science from MIT World Peace University, where academic projects and coursework emphasized machine learning, computer vision, and database systems. Previously contributed to a Carbon Footprint Tracker development as an SAP Developer at RobustSys GmbH, utilizing SAP Fiori and HANA. This experience honed technical skills in cloud computing and mobile development, while fostering a strong interest in sustainable and impactful technology solutions.

Country

United States

City

Los Angeles

Industry

Computer Software

Skill

computer visi, Python (Programming Language), Research Skills, Scientific Computing, Google Analytics, Web Analytics, Website Performance Analysis, User Behavior Analysis, GA4 (Google Analytics 4), Cloud Computing Fundamentals, AWS Cloud Basics, Cloud Service Models (IaaS, PaaS, SaaS), AWS Management Console, AWS Global Infrastructure, Cloud Computing, Amazon Web Services (AWS), Flutter, Android, GitHub, Computer Vision

Experience

Machine Learning Research Assistant

USC Molecular and Computational Biology

2026-3 - Present · 7 mos

Los Angeles, California, United States

Research Assistant in the Department of Molecular and Cellular Biosciences at USC Dornsife, working under Professor John Tower. • Applying machine learning and computer science techniques to support biological research • Developing and maintaining software systems for research computing workflows • Conducting video analysis of Drosophila experiments and analyzing behavioral data • Supporting computational analysis and data processing for laboratory research

SAP Developer

RobustSys GmbH

2024-7 - 2025-1 · 7 mos

Germany

At RobustSys GmbH, I contributed as an SAP Developer, focusing on enhancing dashboard performance and user experience. I successfully built a chat-style reporting feature that simplified reporting processes, while also refactoring legacy code to improve efficiency. My efforts in authoring guides facilitated smoother onboarding for new team members, ultimately fostering a collaborative environment.