Personal profile

Personal Statement

I am a dedicated Computer Vision Researcher and Machine Learning Engineer with a robust academic foundation and diverse industry experience. Holding a Bachelor's degree in Electronics and Telecommunication with a specialization in IoT and Embedded Systems, I furthered my expertise with a Master's in Machine Learning and Deep Learning from the University of Strathclyde, within the Electronic and Electrical Engineering department.

My passion lies in the application of Generative AI technology and Computer Vision methodologies to precision farming and sustainable environmental practices. During my undergraduate studies, I conducted research on energy harvesting embedded systems. My Master's research, in collaboration with AMD, focused on leveraging ML for spectrogram analysis to automate AI-accelerated processing of RF spectrograms using AMD FPGAs.

Currently, my research is centered on Decision Support Systems for Animal Welfare and Precision Livestock Farming. In this role, I am responsible for developing automated AI detection and tracking systems for livestock management. My past industry experience as a Data Analyst at Infosys Ltd involved managing GPC cloud client data and conducting infrastructure analysis.

My skill set includes AI programming, machine vision, embedded systems, and machine learning. I am eager to collaborate on diverse projects and contribute to innovative solutions in my fields of interest.

Personal Webpage: https://devjyotidas.com/

Education/Academic qualification

Master of Science, Machine Learning and Deep Learning (Secialization: Computer Vision), Electronic And Electrical Engineering

15 Sept 202215 Sept 2023

Award Date: 15 Sept 2023

Bachelor of Engineering, Electronics and Telecommunication (Specialization in Embedded Systems and IoT), University of Mumbai

12 Jun 201612 Nov 2020

Award Date: 12 Nov 2020

External positions

Post-Graduate Industrial Project Researcher, AMD

1 Apr 20231 Nov 2023

Technical Executive - Data Science, Infosys

15 Sept 202010 Aug 2022