Ishaan Chansarkar
Software Development Engineer at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolIshaan Chansarkar is a Software Development Engineer at Amazon based in Seattle with 11 years of experience building production-grade software and a strong academic foundation from Cornell in both Computer Science and Operations Research. He progressed through multiple Amazon internships into a full-time SDE role, blending hands-on engineering with research-informed approaches from prior research assistant work. At Cornell he served as Head Teaching Assistant for Discrete Structures, demonstrating mentorship and communication skills alongside technical depth. His open-source contributions include developing a question-typology toolkit for the well-regarded ConvoKit conversational analysis library, showing an interest in NLP and conversational feature engineering. Comfortable at the intersection of algorithms, data science, and systems, he brings a pragmatic, research-minded approach to solving complex engineering problems.
11 years of coding experience
1 year of employment as a software developer
New Albany High SchoolMaster of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Cornell EngineeringBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Cornell University College of EngineeringDual Enrollment, Dual Enrollment at The Ohio State University
English, Hindi, Chinese
Github Skills (9)
machine-learning10
nlp10
python10
conversational-ai9
kmeans8
scikit8
scikit-learn8
datasets8
toolkits7
Programming languages (3)
Github contributions (5)
CornellNLP/ConvoKit
Sep 2017 - Nov 2017
ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.
Role in this project:
Data Scientist
Data ScientistContributions:6 commits, 10 PRs in 2 months
Contributions summary:Ishaan primarily contributed to the development of a question typology toolkit within the ConvoKit repository, a project focused on conversational analysis. Their commits demonstrate the implementation of core functionality related to question classification, including motif extraction, clustering, and question type assignment. The user also made significant improvements to documentation and script organization, and incorporated fixes.
nlpanalyzingconversationalconversational-aidataset
iaj8/Cornell-Conversational-Analysis-Toolkit
Aug 2017 - Nov 2017
Contributions:42 pushes in 2 months
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