Aditya Chetan

PhD student at Cornell University |

Aditya Chetan is a PhD student in Computer Science at Cornell University with a strong background in research and software engineering. He is currently a Research Fellow at Microsoft, where he is working on cutting-edge projects in the field of Neural Networks. Aditya has 2.44 years of rel

4.2

Years of Experience

Education

iiit delhi

Companies

microsoft, goldman sachs, indraprastha institute of information technology delhi, max planck institute for informatics, philips, developer student club, ibm, indraprastha institute of information technology delhi, ibm, microsoft

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Experience

2021 - Present
microsoft
Research Intern
2020 - 2020
goldman sachs
Summer Analyst
- Worked as a part of the R&D Engineering team - Worked on developing NLP tools for automating Client Onboarding procedures at Goldman Sachs - Responsible for building an NER pipeline for recognizing person entity names from a range of financial documents (Prospectus, Annual Reports, LLC, LP Agreements, etc.) - Explored Data Augmentation, Masking techniques, and Post-processing heuristics to improve the performance of the pipeline.
2020 - 2020
indraprastha institute of information technology delhi
Teaching Assistant
- Teaching Assistant for CSE559 - Mining Large Networks. - Sole TA for a class of 30 students, composed of senior and junior undergrads and graduate students. - Incharge of creating assignments, quizzes, their evaluations and clearing doubts. - Helped create the lecture content for the course.
2019 - 2019
max planck institute for informatics
Research Fellow
- Working at D5 (Databases and Information Systems) - Working on Aspect Extraction and Aspect-aware entity similarity from unstructured data
2019 - 2019
philips
Research Intern
- Worked on the project, Narrative AI, a system aimed at extracting information and clinical entities from conversations in clinical settings. - Developed a web app as an end-to-end system to record conversations, handwritten text, and display entities. - Developed a digital prescription board to identify medical terms from Handwritten text. - Developed an NLP pipeline incorporating text-preprocessing, clinical NER, and information extraction. - Surveyed Clinical NER with its challenges through existing research papers.
2019 - 2020
developer student club
Core Team Member
- Responsibilities include conducting sessions to inform the student community at the university about the latest technologies and encourage them to get involved. - Conducted a session of "Introduction to Machine Learning", where we discussed the structure of a basic Machine Learning Pipeline, different paradigms of learning and basic ML algorithms. Visit us at: http://dsc.iiitd.edu.in/
2018 - 2018
ibm
Research Intern
Working on implementing deep learning Models on textual data to remove author specific traits. Keywords: NLP, Style Transfer, Deep Learning
2018 - Present
indraprastha institute of information technology delhi
Undergraduate Researcher
Part of the Laboratory of Computational Social Systems (LCS2)
2017 - 2019
ibm
Undergraduate Student Researcher
Undergraduate student researcher in a collaboration between IIIT Delhi and IBM Research
2017 - 2017
microsoft
GD Intern