Sajan Gohil profile photo 1 on Tal

Sajan Gohil

Generating value from data | Mtech-DS @ IITR | Gen AI | Deep Learning | Data Science

Roorkee

5+ years of work experience

Flipkart
Jan 20268 mosPresent

Bengaluru

- Experimented with foundation models for time series prediction and achieved ~5% wMAPE improvement for specific segments of products. - Improved legacy demand forecasting systems by ~50bps by optimizing the algorithms for improved day-level performance without harming the block level predictions. - Performed RCA of different systems, analyzed and debugged existing models to identify issues in data, pipelines and models. - Contributed to internal tools used by the Planning-DS team.
Indian Institute of Technology, Roorkee
Jul 20256 mosDec 2025

Uttarakhand, India

- Designed and hosted a Kaggle competition assignment, guiding students in applying theoretical understanding in practice. - Developed exam questions to assess the skills required for better conceptual understanding of course content.
GLIB
Jul 20204 yrsJun 2024

Ahmedabad, Gujarat, India

Developed custom as well as state of the art deep learning models and systems surrounding it for document data extraction. Leveraged computer vision, natural language processing and multimodal deep neural networks. Worked with generative AI models for the same.
Geeky Bee AI Private Limited - An Artificial Intelligence Company
Jan 20206 mosJun 2020

Gujarat, India

1. Built some modules for a real-time weapon detection system using YOLO and facial recognition system for identifying suspects. 2. Built a part of face recognition based biometric attendance system using one-shot learning methods (deployable on desktop and Raspberry Pi)
SilCore Technology
Jun 20192 mosJul 2019

Gujarat, India

Designed software prototype for EtherCAT protocol used for industrial automation and machine-machine communication.
GitHub
@sajan-gohil

Sajan’s AI Stack

antigravity
antigravity
codex
codex
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Education

Indian Institute of Technology, Roorkee

Master of Technology - MTech, Data Science

Indian Institute of Technology, Roorkee

20242 yrs2026
Pandit Deendayal Energy University

B.Tech, Information and communication technology

Pandit Deendayal Energy University

20164 yrs2020

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Headline

Generating value from data | Mtech-DS @ IITR | Gen AI | Deep Learning | Data Science

About

AI and Machine learning enthusiast, actively looking for new opportunities in the same field

Location

Roorkee

AI stack

antigravity

codex

cursor

Work experience

Data Science Intern at Flipkart, Jan 2026 - Present · 8 mos, Bengaluru, - Experimented with foundation models for time series prediction and achieved ~5% wMAPE improvement for specific segments of products. - Improved legacy demand forecasting systems by ~50bps by optimizing the algorithms for improved day-level performance without harming the block level predictions. - Performed RCA of different systems, analyzed and debugged existing models to identify issues in data, pipelines and models. - Contributed to internal tools used by the Planning-DS team.

Teaching Assistant - Deep Learning at Indian Institute of Technology, Roorkee, Jul 2025 - Dec 2025 · 6 mos, Uttarakhand, India, - Designed and hosted a Kaggle competition assignment, guiding students in applying theoretical understanding in practice. - Developed exam questions to assess the skills required for better conceptual understanding of course content.

Machine Learning Engineer at GLIB, Jul 2020 - Jun 2024 · 4 yrs, Ahmedabad, Gujarat, India, Developed custom as well as state of the art deep learning models and systems surrounding it for document data extraction. Leveraged computer vision, natural language processing and multimodal deep neural networks. Worked with generative AI models for the same.

Deep learning Intern at Geeky Bee AI Private Limited - An Artificial Intelligence Company, Jan 2020 - Jun 2020 · 6 mos, Gujarat, India, 1. Built some modules for a real-time weapon detection system using YOLO and facial recognition system for identifying suspects. 2. Built a part of face recognition based biometric attendance system using one-shot learning methods (deployable on desktop and Raspberry Pi)

Software Engineer Intern at SilCore Technology, Jun 2019 - Jul 2019 · 2 mos, Gujarat, India, Designed software prototype for EtherCAT protocol used for industrial automation and machine-machine communication.

Education

Master of Technology - MTech, Data Science, Indian Institute of Technology, Roorkee

B.Tech, Information and communication technology, Pandit Deendayal Energy University

Public links

github: https://github.com/sajan-gohil

Sajan Gohil - Data Science Intern in Roorkee | Tal