Summary
Shruti Chanumolu is a research fellow and software engineer with 8 years of experience applying AI and data science to social-good problems such as combating internet child abuse, hate speech, and disaster response. Based at UMass Amherst, she leads student teams and builds end-to-end platforms—ranging from secure evidence-transfer systems for child-crime investigations to automated social media scraping tools used by MIT Lincoln Lab, and disaster damage assessment tools developed with Microsoft and the Red Cross. Her background bridges industry and academia, including ML and product work at NetApp and Amazon where she shipped production Android features and knowledge-driven neural decoders for conversational QA. She has a strong engineering foundation in Python, Spark/Hadoop, and scalable data pipelines, and has delivered applied research that improved SOTA metrics while drastically reducing model complexity. Shruti also contributes to ecological and fisheries management through fish-detection models funded by MIT Sea Grant, reflecting an uncommon blend of social impact and environmental applications. She combines rigorous academic training (MS CS, 3.85 GPA) with hands-on product delivery and cross-disciplinary collaboration.
8 years of coding experience
1 year of employment as a software developer
Non-degree, FassTrack Asia: Summer school 2016, Non-degree, FassTrack Asia: Summer school 2016 at National University of Singapore
Master's degree, Computer Science, 3.85, Master's degree, Computer Science, 3.85 at University of Massachusetts Amherst
University of Illinois Urbana-Champaign
Bachelor of Engineering (B.Eng.), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (B.Eng.), Electrical, Electronics and Communications Engineering at City University of Hong Kong
Hindi, English, Telugu