Research Engineer

• Jan 2022 - Present

• Scale up Proof-Of-Concept (POC) applications using state-of-the-art implementations in Machine Learning and Deep Learning. • Evaluate and implement existing or create new or modifications ML/DL methods. • Engineer & Deploy ML/DL models in systems/ web servers/ etc. • Develop demos/ prototypes from the POC from different research teams of the Hub. • Scale up Proof-Of-Concept (POC) applications using state-of-the-art implementations in Machine Learning and Deep Learning. • Evaluate and implement existing or create new or modifications ML/DL methods. • Engineer & Deploy ML/DL models in systems/ web servers/ etc. • Develop demos/ prototypes from the POC from different research teams of the Hub.

Computer Vision Engineer

• Jun 2021 - Present

Engineering Solutions in Application Team to create demos for Proof of Concepts using and integrating various technologies and in the process developing demos of Real Life Applications in Video Analytics and Computer Vision for Smart Surveillance.

Computer Vision Intern

• Mar 2021 - May 2021

Developed and Tested various projects involving Object Detection and Object tracking, optimized them in the form of a full scale use case and deployed them efficiently for various platforms and edge devices.

Graduate Researcher

• Jun 2021 - Nov 2021

Researching on Advanced techniques used for Face Anti-Spoofing Detection. Researching on Advanced techniques used for Face Anti-Spoofing Detection.

Student Ambassador

• Sep 2020 - Aug 2021

Learn Student Ambassadors are a global group of campus leaders who are eager to help fellow students, create robust tech communities and develop technical and career skills for the future.

Student Partner (MSP)

• Sep 2019 - Aug 2020

- Host events, workshops and hackathons about Microsoft technologies like Azure, Sway etc. on campus- Build and grow a community of students on-campus and online- To acquire tools and trainings to lead technology discussions on campus- To inform students about student benefits like Azure credits- To work closely with Microsoft and other MSPs and build networks

Research Intern

• May 2020 - Oct 2020

Areas of Research include Machine Learning, Deep Learning and Computer Vision.Research publication with the title "Face anti spoofing by spatial fusion of Deep features and colour texture features" has been accepted at 3rd ICISS 2020 conference. Areas of Research include Machine Learning, Deep Learning and Computer Vision.Research publication with the title "Face anti spoofing by spatial fusion of Deep features and colour texture features" has been accepted at 3rd ICISS 2020 conference.

Corporate Head

• Jul 2019 - Jul 2020

Responsible for fostering participation and promoting the growth of Entrepreneurship skills in students in various departments like Public Relations, Event Management,Technical Skills,etc. And handling the Sponsorship and Corporate front of the E-Cell.

Technical and Public Relations Team Member

• Aug 2018 - Jul 2019

Mentor @TensorFlow

• Dec 2019 - Jan 2020

Mentored pre-university students of age 13-17 years and guided them to get started with Open-Source culture during the Google Code-In program as a part of the TensorFlow organisation. Mentored pre-university students of age 13-17 years and guided them to get started with Open-Source culture during the Google Code-In program as a part of the TensorFlow organisation.

Computer Vision Intern

• Oct 2019 - Jan 2020

https://parkzap.com/en/Parkzap Labs, NASSCOM 10,000 StartUps Incubated Company. Worked on multiple tasks involving Deep Learning and Computer Vision specially focused in the areas of Object Detection, Automated License Plate Detection and Vehicle Detection. https://parkzap.com/en/Parkzap Labs, NASSCOM 10,000 StartUps Incubated Company. Worked on multiple tasks involving Deep Learning and Computer Vision specially focused in the areas of Object Detection, Automated License Plate Detection and Vehicle Detection.

Summer Intern

• Jun 2019 - Jul 2019

Worked on project involving Machine Learning, Deep Learning, Text Mining and Natural Language Processing. Worked on project involving Machine Learning, Deep Learning, Text Mining and Natural Language Processing.