Akshay Gugnani

Software Engineering Researcher, IBM Research · akshaygugnani@gmail.com

I currently work as a Software Engineering Researcher at IBM Research as part of the Industry Solutions team. I contribute to the research and development of solutions for AI for Education, Finance and Retail assets. My role involves studying and experimenting with possible natural language processing(NLP) solutions, information extraction and data mining solutions for structured/unstructured data and developing pipelines for these solutions. My current focus is on a AI for Retail, where I am exploring explainable ML models to enable demand sensing and predictive demand insights by mining product reviews. I have previously developed PoC and solutions in Finance and Education Assets.

Some of my selected projects @ IBM Research

My course on Chalk Street and my IBM Research profile.
[Curriculum Vitae]

Education

Massachusetts Institute of Technology

Computer Science

August 2015 - Jan 2016

SRM University

Bachelor of Technology (B.Tech.)

Computer Science and Engineering

July 2013 - May 2017

Experience

Software Engineering Researcher

IBM Research
Projects

July 2017 - Present

Reseach Intern

Samsung Research Institute

December 2016 - May 2017

Research Intern

IBM Research
Projects

June 2016 - Sep 2016

Undergraduate Researcher

MIT Computer Science and Artificial Intelligence Laboratory

September 2015 - January 2017

Publications

2020

Implicit Skills Extraction Using Document Embedding and Its Use in Job Recommendation
Akshay Gugnani, Hemant Misra
2020 AAAI Innovative Applications of Artificial Intelligence (IAAI)
[link]

2019

Multimodal Web Application to Infer Emotional Intelligence of Adolescent Counsellor
Prerna Agarwal, Anupama Ray, Ayush Shah, Akshay Gugnani, Priyanka Halli, Shubham Atreja, Gargi Dasgupta
2019 Grace Hopper Conference
[link]

2018

Generating Unified Candidate Skill Graph for Career Path Recommendation
Akshay Gugnani, Vinay Kumar Reddy Kasireddy, Karthikeyan Ponnalagu
2018 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 328--333
[link]

Khan Academy: A Social Networking and Community Question Answering Perspective
Sneha Mondal, Akshay Gugnani, Renuka Sindhgatta, Vinay Kumar Reddy Kasireddy
2018 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 355--359
[link]

Patents

2020

Resolving Conflicts in Fashion Design Process
Kushagra Manglik, Vijay Ekambaram, Surya Shravan Kumar Sajja, Nupur Aggarwal, Vikas C. Raykar, Akshay Gugnani
Filed as docket P202000694US01

2019

Demand Sensing for Product and Design Introductions
Akshay Gugnani, Vikas C. Raykar, Amith Singhee, Vijay E, Surya Shravan Kumar Sajja
Filed as docket P201900491US01

Localizing Fashion designs
Akshay Gugnani, Vikas C. Raykar, Vijay Ekambaram, Amith Singhee, Surya Shravan Kumar Sajja
Filed as docket P201902198US01

2018

Identifying Temporal Trend Disconnects in a Fashion Catalog
Vikas C. Raykar, Vijay Ekambaram, Amith Singhee, Surya Shravan Kumar Sajja, Akshay Gugnani
Filed as docket P201903842US01