Tuhin Chakrabarty

Associate Consultant

New York, New York, United States9 yrs 6 mos experience

Key Highlights

Expert in Natural Language Processing and Machine Learning.
Research on ethical implications of AI models.
Proven track record in competitive coding.

Stackforce AI infers this person is a leading researcher in AI and Natural Language Processing.

Contact

Skills

Other Skills

AlgorithmsApache KafkaApache StormApache ZooKeeperArgumentationCC++C++ STLComputational LinguisticsComputational SemanticsData ScienceData StructuresDeep LearningElasticSearchHBase

About

My research often relies on knowledge, methods, and perspectives from multiple disciplines to address complex problems or questions that cannot be fully understood or solved within the boundaries of Computer Science. Todays AI models have zero consideration in fair and responsible data use and their deployment and safety strategy is often myopic without considering longitudinal harms. Most powerful models are trained on huge amount of data from professionals without consent, disrupting their livelihoods. My research aims to evaluate and understand what aspects of skilled labor are being automated and how can we empirically measure the impact on labor market dilution.

Experience

9 yrs 6 mos

Total Experience

1 yr 2 mos

Average Tenure

10 mos

Current Experience

Stony brook university

Assistant Professor

Aug 2025 – Present · 10 mos · New York, United States · On-site

Salesforce

2 roles

Visiting Professor

May 2024 – Present · 2 yrs 1 mo · New York, New York, United States

Research Intern

May 2023 – Aug 2023 · 3 mos · California, United States · On-site

Evaluation of creative capabilities of LLMs

Google deepmind

Research Intern

Aug 2023 – Dec 2023 · 4 mos · New York, New York, United States · On-site

Large Language Models and Attribution

The new york times

R&D Fellow

Sep 2021 – Jun 2022 · 9 mos · New York City Metropolitan Area

Allen institute for ai (ai2)

Research Intern

May 2021 – Aug 2021 · 3 mos · Seattle, Washington, United States

MOSAIC team ( Machine CommonSense)

Ibm

Research Intern

Apr 2020 – Jul 2020 · 3 mos · Yorktown Heights, New York, United States

Generative Models for Long Answer Generation in QA systems

Information sciences institute

Research Assistant

Aug 2019 – Apr 2020 · 8 mos · Greater Los Angeles Area

Natural Language Processing
Advisor:- Prof. Nanyun (Violet) Peng
Machine CommonSense
Creative Language Generation

Columbia university in the city of new york

Graduate Research Assistant

Sep 2018 – Aug 2021 · 2 yrs 11 mos · Greater New York City Area

I am a PhD student in Computer Science at Columbia University. Within the department I am a part of the Natural Language Processing group , where I am advised by Smaranda Muresan .I also work with Violet Peng . My research interests are broadly in Natural Language Processing and Machine Learning, with special focus in Generative AI and AI assisted Creativity

Amazon

Applied Scientist Intern

May 2018 – Aug 2018 · 3 mos · Greater Boston Area

Alexa Core Natural Language Understanding Research

Uber

Software Engineer

Jan 2016 – Jul 2017 · 1 yr 6 mos · Hyderabad Area, India

Designed and implemented an Analytics Platform enhancing user experience and increasing operational
efficiency, by detecting anomalies in the data for rider payment fraud , and alerting the users
Implemented features for machine learning models on fraud uncollected and chargeback problems .
Designed and implemented classification mechanism for worldwide unbalanced trips for UBER .
Full stack development and architecture design for application showing NET INFLOWS, CASH INFLOWS , REV SHARE for UBER

Ola (ani technologies pvt ltd)

Software Development Engineer

Jan 2015 – Jan 2016 · 1 yr · Bengaluru Area, India

Designed and implemented a push notification platform for the hyperlocal grocery app .
Designed and implemented multiple customer facing api’s for hyperlocal ordering platform .
Implemented various sections of OLA SHARE (carpool) data pipeline and designed pipeline to facilitate
logging of all important events and mechanism for efficient subscription and retrieval of data to build .
complex analytics models
Designed and Implemented preferential pick up and drop backend for OLA SHARE

Amazon

Software Development Engineer

Jan 2014 – Jan 2015 · 1 yr · Hyderabad Area, India

Reverse Logistics | WW Customer Returns | Policy Engine
Formulating policies regarding customer returnsand fulfilling resolutions for returns such as Refund , Exchange , Replacement
Responsible for migrating legacy systems in customer returns .
Worked closely to implement the refunding workflow with new event based orchestration
the event being item received at fulfillment centre
Worked on wrong item refund process (end to end) along with automating sending of emails to customer care associates instead of manual intervention from customer end .
Worked on implementation of receivable and charge system ( for cases where early refund has been given to customer based on goodwill and now item is expected for return at FC) on new execution platform .