Shanu Kumar

AI Researcher

Bengaluru, Karnataka, India6 yrs 1 mo experience

Highly Stable

Key Highlights

Expertise in Deep Learning and Computer Vision.
Research on Adversarial Unsupervised Domain Adaptation.
Published work in AAAI conference.

Stackforce AI infers this person is a skilled researcher in AI and machine learning with a focus on computer vision applications.

Contact

sshanu@iitk.ac.in LinkedIn

Skills

Other Skills

AlgorithmsAndroid StudioAutoCADCC++Cascading Style Sheets (CSS)DjangoGNU OctaveHTMLLinuxLuaMatlabOPEN CVProject ManagementPython

About

I'm a senior undergraduate in Electrical Engineering. I'm also pursuing a minor degree in Artificial Intelligence in the Department of Computer Science and Engineering. My research areas are Deep Learning, Computer Vision and Natural Language Processing. Currently, I am working on Adversarial Unsupervised Domain Adaptation of Scene Graphs and Image Classification.

Experience

Microsoft

Data and Applied Scientist 2

Jul 2019 – Aug 2025 · 6 yrs 1 mo · Bengaluru, Karnataka, India · On-site

Indian institute of technology, kanpur

Undergraduate Research Assistant

Sep 2018 – Nov 2018 · 2 mos · Kanpur Area, India

Proposed a method to identify adaptable regions using the certainty estimates of the discriminator, and use these certainty estimate weights for improving classifier’s performance on target dataset and achieved state of the results on different datasets.

Ibm

Research Intern

May 2018 – Jul 2018 · 2 mos · Bengaluru Area, India

Proposed a novel application of existing Scene Graph models by adapting them to generate a Civic issue graph for understanding civic issues present in an image. Submitted a paper to AAAI’19 as a result of the internship.