Vivek Gupta

CEO

Tempe, Arizona, United States10 yrs 6 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in AI, NLP, and ML with over seven years of experience.
  • Led research on trustworthy AI systems for complex data types.
  • Recipient of multiple prestigious fellowships and awards.
Stackforce AI infers this person is a leading expert in AI and NLP research within the education sector.

Contact

Skills

Core Skills

Artificial IntelligenceNatural Language ProcessingMachine Learning

Other Skills

AlgorithmsAndroid DevelopmentArtificial Neural NetworksCC (Programming Language)C++CSSCascading Style Sheets (CSS)Computational LinguisticsComputer VisionCreative CodingData AnalysisData MiningData ScienceData Structures

About

I am an Assistant Professor 👨‍🏫 of Computer Science at the Arizona State University, where I work on artificial intelligence with specialization in natural language understanding. I lead the CoRAL: Complex data Reasoning and Analysis Lab (https://coral-lab-asu.github.io), where we work on building trustworthy AI system for Complex Data Types. I am part of the School of Computing and Augmented intelligence at the Ira. A. Fulton Schools of Engineering at Arizona State University. Prior to that I was a Postdoctoral Researcher at the University of Pennsylvania, where I work on natural language processing (NLP) problems, especially on semi-structured data. I have a PhD in Computer Science from the University of Utah, where I conducted research on machine learning and NLP applications, and published multiple papers at top conferences. I have over seven years of experience in the field of AI, NLP, and ML, working as a research fellow, intern, and collaborator at prestigious organizations such as Microsoft Research, Bloomberg, Facebook AI, IBM Research, and Verisk. I have received several honors and awards, including the Bloomberg Data Science Fellowship, the Microsoft Research Fellowship, and the Erricson Innovation Award, India (Finalist). I am passionate about developing disruptive products that have the potential to make a direct impact on the industry and society. My mission is to make machines smarter and solve intelligence using the best techniques in AI. I am open to exciting research collaboration opportunities in AI/NLP/ML.

Experience

Arizona state university

Assistant Professor of Computer Science

Aug 2024Present · 1 yr 7 mos · Tempe, Arizona, United States · On-site

  • School of Computing and Augmented Intelligence @ Ira A. Fulton Schools of Engineering
  • Lead CoRAL: Complex Data Reasoning and Analysis Lab (Artificial Intelligence on Complex Data Types)
  • CoRAL Website: https://coral-lab-asu.github.io (our group website)
  • CoRAL Research: https://tinyurl.com/5e5zjms5 (our recent work)
  • Broad Topics
  • Artificial Intelligence (esp. fairness, trust, factuality)
  • Natural Language Processing (esp. Large Language Models)
  • Machine Learning (esp. preference optimization methods)
  • Computer Vision (esp. Vision Language Models)
  • Current Focus
  • AI on Complex Data Structures - Database, Maps, Charts, Flowchart
  • Understanding LLM Reasoning - Memorization, Hallucination etc.
  • Trustworthy LLM Applications - High Precision vs High Recall tradeoff
  • AI + X , where X = Scientific, Health, Astro, Sports, Commerce etc
  • Feel free to write to me, for collaboration, opportunity etc.
Research CollaborationHigher Education TeachingUniversity LecturingArtificial IntelligenceNatural Language Processing

University of pennsylvania

Postdoctoral Researcher

Jul 2023Aug 2024 · 1 yr 1 mo · Philadelphia, Pennsylvania, United States · On-site

  • I work as a PostDoctoral Researcher in the Cognitive Computation Group at UPenn CIS school. I am hosted by distinguished Prof. Dan Roth in computer and Information Science, Schools of Engineering and Applied Sciences. I also engage with Penn NLP, Assest, and the PRiML groups.
  • Reasoning for Large Langauge Model specifically on a. mathematical LLM reasoning, b. temporal side on semi-structured data and c. multimodal structured data
Research and Development (R&D)Natural Language ProcessingComputational LinguisticsMachine Learning

Stealth startup

Chief Technology Officer (Co-Founder)

Dec 2022Jun 2023 · 6 mos · Remote

  • AI EdTech Startup
  • OpenAI Close Technology Gap
  • Early Exited

Bloomberg

NLP Research Intern

May 2022Aug 2022 · 3 mos · London, England, United Kingdom

  • Reasoning over Temporal Tables

University of utah

3 roles

Guest Instructor

Mar 2022Mar 2022 · 0 mo

  • Taught Graphs Algorithms and Data Structure (2 week) to undergrads in CS 2420 for Fall 2021 Spring. Design and deliver lectures and Assignments. Special thanks to Prof. Erin Parker and Prof. Daniel Kopta for the opportunity. Lecture's and Feedback are available on request.

Guest Instructor

Dec 2021Dec 2021 · 0 mo

  • Taught Graphs Algorithms and Data Structure (2 weeks) to undergrads in CS 2420 for Fall 2021 Spring. Design and deliver lectures and Assignments. Special thanks to Prof. Erin Parker and Prof. Daniel Kopta for the opportunity. Lecture's and Feedback are available on request.

Private Tutor

Sep 2021Dec 2021 · 3 mos

  • Course CS 6150 Advanced Algorithm. Feedback is available on request.

Ikdd

Student Nijas

Aug 2021Aug 2022 · 1 yr · India

Raj bhanwar welfare trust

Secretary

May 2021May 2022 · 1 yr · India · Remote

Bloomberg lp

NLP Research Intern

May 2021Aug 2021 · 3 mos · New York, United States

  • IE and KG teams. Trustworthy TNLI

University of utah

4 roles

Teaching Assistant

Jan 2021May 2021 · 4 mos

  • Course : CS 6355 - Structured Prediction, Spring 2021

Data Science Club Coordinator

Promoted

May 2020May 2023 · 3 yrs

  • Also manage the Data Science Seminar with Prof. Jeff Phillips and Prof. Aditya Bhaskara for two years.

Teaching Assistant

Aug 2019Dec 2019 · 4 mos

  • Course : CS 6150 - Advanced Algorithms Fall 2019

Graduate Research Assistant

Aug 2018May 2023 · 4 yrs 9 mos

  • I am currently focusing on the following two research problems
  • 1. Efficient methods to handle semi-structured reasoning in NLP tasks.
  • 2. New notions of fairness in AI with applications to the real world.

Facebook ai

Research Intern

Sep 2020Dec 2020 · 3 mos · Seattle, Washington, United States

  • Efficient and Effective Semantic Parsing

Verisk

Research Collaborator

May 2020Jan 2022 · 1 yr 8 mos · Salt Lake City, Utah, United States

Ibm research

Summer Research Intern

May 2019Aug 2019 · 3 mos · Greater New York City Area

  • Fairness and Ethics in AI

Microsoft

2 roles

Research Fellow

Oct 2016Jul 2018 · 1 yr 9 mos · Microsoft Research India, Bangalore

  • Worked on efficient techniques for semi-supervised learning.
  • Worked on an efficient algorithm for anomaly detection.
  • Worked on efficient representation learning of large text document.
  • Worked on efficient unsupervised abstractive text summarization

Research Intern

May 2016Aug 2016 · 3 mos · Microsoft Research India, Bangalore

  • Worked on efficient estimation of generalization error for ensemble classification

Flipkart

2 roles

Data Science Extern

Aug 2015May 2016 · 9 mos

  • Worked on real world Machine Learning problems related to e-commerce particularly in the domain of cataloging and search.

Data Science Intern

May 2015Jul 2015 · 2 mos

  • Carried out a text based product classification project using multilevel classification technique using connected graph components.
  • Carried out attribute value pair extraction from apparel images using svm classifier on BOVW Sift feature vectors.

Indian institute of technology, kanpur

2 roles

SIGML Coordinator

Jul 2015May 2016 · 10 mos · IIT Kanpur

  • Initiated and managed Special Interest Group in Machine Learning (SIGML) at Computer Science and Engineering Department, IIT Kanpur. SIGML is a forum for discussion on topics in Machine Learning , Natural Language Processing and Computer Vision. Organise regular meetups for discussions and talks on topics in Machine Learning and related fields. Group aims at organising problem solving sessions, reading groups sessions , skype seminars by eminent researchers, industry talks and research days, machine learning research day, small workshops and PhD lectures. (www.cse.iitk.ac.in/users/sigml )

Teaching Assistant

Apr 2015May 2016 · 1 yr 1 mo · IIT Kanpur

  • Teaching Assistant for the course ‘Machine Learning Tools and Techniques’ (CS 771) at IIT Kanpur.
  • Teaching Assistant for the course ‘Operating Systems’ (CS 330) at IIT Kanpur.

Samsung sarc | acl

Student Trainee

May 2014Jul 2014 · 2 mos · Bangalore

  • Worked on wearable health care application , analysis and development of mobile health-care solution. Did an innovation in S-Health Wearable technology on sleep applications by automatically change ambient temperature by using recurrent feedback signal from S-Watch. Internally accepted a 1st author research paper & patent draft “Assisting Human for optimal sleep by changing ambient”

Synopsys

Intern(Technical)

May 2013Jul 2013 · 2 mos · Bangalore,India

  • Design and Develop a verification tool for checking progress in testing modules. Involved in creating interactive visualizations of Scenario Coverage trends in life-cycle of a Functional Verification project. Did processing, merging of json dumps of nightly regression runs and use innovative data visualization techniques to present the results to the end user.

Education

University of Pennsylvania

Postdoctoral Researcher

Jul 2023Aug 2024

University of Utah

Doctor of Philosophy - PhD — Machine Learning and Natural Language Processing

Jan 2018Jan 2023

Indian Institute of Technology, Kanpur

Master of Technology (MTech)

Jan 2015Jan 2016

Indian Institute of Technology, Kanpur

Bachelor of Technology (B.Tech.) — Computer Science and Engineering

Jan 2011Jan 2014

GS Jangid Memorial School, Jodhpur

Higher Education (XII) — PCM

Jan 2010Jan 2011

ST. Anne's School, Jodhpur

Primary and Secondary Education — Mathematics and Computer Science

Jan 2000Jan 2009

University of Pennsylvania

Doctor of Philosophy - PhD — Computer Science

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