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Sayantan Sengupta

Applied Data Scientist

Kolkata

8+ years of work experience

Openhome
Oct 20254 moFeb 2026

Copenhagen

• Advised founders on AI feasibility, technical trade-offs and risks, timelines and resource allocation for multi modal AI models. • Drafted end-to-end AI and data architecture, including model deployment, infrastructure requirements, and integration with product roadmap. • Supported early-stage growth through grant writing, technical documentation, and planning for founding engineering hires.
DTU - Technical University of Denmark
Jul 20214 yrs 5 mosNov 2025

- Developed novel mathematical optimization methods in the intersection of nutrition, health and environment. - Probabilistic models for risk benefit assesment. - Scientific reports on risk benefit assesment.
DTU - Technical University of Denmark
Aug 20205 mosDec 2020

Technische Universität Berlin
Jan 20205 mosMay 2020

Berlin Metropolitan Area

Worked with Prof. Dr. Begum Demir on satellite image segmentation using Deep learning in the Remote Sensing and Image Analysis group.
DTU - Technical University of Denmark
Aug 20173 yrs 1 moAug 2020

Copenhagen Area, Denmark

Indian Institute of Technology, Delhi
Jan 20169 mosSep 2016

New Delhi Area, India

Worked on the NLP project: "Unsupervised Decomposition of Multi-Author Documents".

Sayantan’s AI Stack

openai
openai

Education

DTU - Technical University of Denmark

Doctor of Philosophy - PhD, Department of Applied Mathematics and Computer Science

DTU - Technical University of Denmark

20173 yrs2020
Indian Institute Of Information Technology allahabad

Master of Technology (M.Tech.), Information Technology spln.( Intelligent Systems )

Indian Institute Of Information Technology allahabad

20122 yrs2014

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Headline

Applied Data Scientist

About

AI of the people , by the people , for the people.

Location

Kolkata

AI stack

openai

Work experience

ML lead at Openhome, Oct 2025 - Feb 2026 · 4 mo, Copenhagen, • Advised founders on AI feasibility, technical trade-offs and risks, timelines and resource allocation for multi modal AI models. • Drafted end-to-end AI and data architecture, including model deployment, infrastructure requirements, and integration with product roadmap. • Supported early-stage growth through grant writing, technical documentation, and planning for founding engineering hires.

Postdoctoral Researcher at DTU - Technical University of Denmark, Jul 2021 - Nov 2025 · 4 yrs 5 mos, - Developed novel mathematical optimization methods in the intersection of nutrition, health and environment. - Probabilistic models for risk benefit assesment. - Scientific reports on risk benefit assesment.

Research Assistant at DTU - Technical University of Denmark, Aug 2020 - Dec 2020 · 5 mos

Visiting PhD Researcher at Technische Universität Berlin, Jan 2020 - May 2020 · 5 mos, Berlin Metropolitan Area, Worked with Prof. Dr. Begum Demir on satellite image segmentation using Deep learning in the Remote Sensing and Image Analysis group.

PhD Student at DTU - Technical University of Denmark, Aug 2017 - Aug 2020 · 3 yrs 1 mo, Copenhagen Area, Denmark

Research Scholar at Indian Institute of Technology, Delhi, Jan 2016 - Sep 2016 · 9 mos, New Delhi Area, India, Worked on the NLP project: "Unsupervised Decomposition of Multi-Author Documents".

Education

Doctor of Philosophy - PhD, Department of Applied Mathematics and Computer Science, DTU - Technical University of Denmark

Master of Technology (M.Tech.), Information Technology spln.( Intelligent Systems ), Indian Institute Of Information Technology allahabad

Sayantan Sengupta - ML lead in Kolkata | Tal