Harsh Kohli

AI Researcher

Columbus, Ohio, United States8 yrs 8 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 8 years of industry experience in applied research.
  • Expertise in Natural Language Processing and Dialogue Systems.
  • Published multiple research papers in top conferences.
Stackforce AI infers this person is a skilled AI researcher with extensive experience in Natural Language Processing and Machine Learning.

Contact

Skills

Core Skills

Natural Language ProcessingDialogue SystemsMachine LearningRecommendation SystemsChatbot DevelopmentDeep LearningData ScienceWeb SearchSoftware Development

Other Skills

Information SeekingLanguage ModelsBenchmarkingTestingRankingDialogue State TrackingKubernetesWeb Search OptimizationDialogue ManagementMachine TranslationNLP Module DevelopmentClustering AlgorithmsGame DevelopmentABAP ProgrammingSAP ERP

About

I am currently a PhD student in Computer Science and Graduate Research Associate at The Ohio State University, working on problems in Natural Language Processing, Question-Answering and Dialogue Systems under the guidance of Prof. Huan Sun. I hold an MS in CS from GeogiaTech and have completed my Bachelors in CS from BITS Pilani, Goa. Prior to starting my PhD, I have worked for 8 years in the industry at various applied research positions including two years at Microsoft Bing. For an updated list of my publications please visit my Google Scholar page - https://scholar.google.com/citations?user=PmkygQYAAAAJ

Experience

Meta

Research Scientist Intern

Jun 2025Aug 2025 · 2 mos · Menlo Park, California, United States · On-site

Amazon

2 roles

Applied Scientist Intern

May 2024Aug 2024 · 3 mos · Boston, Massachusetts, United States · On-site

Applied Scientist Intern

May 2023Aug 2023 · 3 mos · Cambridge, Massachusetts, United States · On-site

The ohio state university

Graduate Research Associate

Aug 2022Present · 3 yrs 7 mos · Columbus, Ohio, United States

  • Working under Prof. Huan Sun in creating a new benchmark for Information Seeking intents in Dialog Systems
  • The proposed benchmark would test existing language models along multiple dimensions - open-domain QA, conversational QA, reasoning etc
Natural Language ProcessingDialogue SystemsInformation SeekingLanguage Models

Compass

Senior Machine Learning Scientist 2

Mar 2021Apr 2022 · 1 yr 1 mo · Bengaluru, Karnataka, India

  • Worked on ranking & recommendation stack for real-estate search
  • Implemented a low latency partial-query auto-suggest system incorporating textual and non-textual features
  • Involved in Query Understanding & Categorization for free text queries
  • Developed a similarity model for home listings for recommendation and comparative market analysis
  • Worked on creating a unified representation using the multi-modal features on a real-estate listing page
  • Developed a task-oriented chatbot to answer consumer queries in the absence of an agent - trained the dialogue state tracker to recognize the important entities and detect user intent as well as imbued the bot with a Reading Comprehension model to answer questions from text
Machine LearningRankingRecommendation SystemsChatbot Development

Salesken

Technical Architect - Data Science

Jan 2020Mar 2021 · 1 yr 2 mos · Bengaluru, Karnataka, India

  • Leading a team working on applying and adapting novel dialogue state tracking systems and semantic matching techniques to improve sales conversations
  • Scaling real-time deep learning services in production using multi-gpu inference and Kubernetes
Deep LearningDialogue State TrackingKubernetesData Science

Microsoft

Data Scientist 2

Feb 2018Jan 2020 · 1 yr 11 mos · Hyderabad Area, India

  • Mixed Objective, Block level optimization for web search recommendation in Bing using novel Pointing Decoder architectures - published a single-author paper on the same at SIGIR 2020
  • Worked on Bing's domain-specific passage ranking and Machine Comprehension abilities - published the Attention-LSTM architecture through a paper at CIKM 2018
  • Session-context aware and Multi-Task deep learning systems for follow up query suggestion for the Bing Search engine's Related Questions feature
  • Novel contextual architectures for disambiguation tasks such as entity and word-sense disambiguation
  • Collaborated closely with Microsoft Research, Redmond on various research initiatives in Dialogue Systems
Machine LearningWeb Search OptimizationDeep LearningWeb Search

Ipsoft

Research And Development Engineer

Jun 2014Jan 2018 · 3 yrs 7 mos · Bengaluru Area, India

  • Worked from ideation to implementation on several features towards the development of Amelia - a virtual assistant for BPO and help-desk automation
  • Involved in the research and development of several modules including Dialogue Management, Machine Translation, Anaphora Resolution, Intent Detection and familiar with NLP tool-kits and frameworks including CoreNLP, Wordnet, Verbnet, Framenet, NLTK etc.
  • Led a team working on improving state of the art approaches on tasks like Machine Comprehension, Natural Language Inference etc. using Attention-Matching Deep Neural Network architectures
Natural Language ProcessingDialogue ManagementMachine TranslationDialogue Systems

Knolskape

Intern

Jul 2013Dec 2013 · 5 mos · Bengaluru Area, India

  • Built an NLP module to check for any grammatical or spelling mistakes in text and returned a score based on the same. Integrated it with the companies existing servlet class for its simulations
  • Implemented a Clustering algorithm to group individuals based on their scores when assessed across various skill-sets
  • Developed an online assessment tool "Co{de}tective" for programmers and designed challenges to test the candidates in algorithms and data structures. Presented the same at the TechCrunch International Conference, Bangalore (2013)
  • Created a 3D game in Unity3D as part of the company's internal hackathon using the Hofstede's cultural dimensions theory as the underlying theme. Experienced, first hand, the applications of game and decision theory involving complex inter-temporal choices
NLP Module DevelopmentClustering AlgorithmsGame DevelopmentNatural Language ProcessingSoftware Development

Mormugao port trust

Summer Intern

May 2012Jul 2012 · 2 mos · Goa, India

  • Worked on digitizing the organization's inward-outward letter registers using ABAP programming on SAP ERP
ABAP ProgrammingSAP ERPSoftware Development

Education

The Ohio State University

Doctor of Philosophy - PhD — Computer Science

Jan 2022Jan 2026

Georgia Institute of Technology

Master of Science - MS — Computer Science

Jan 2018Jan 2020

Birla Institute of Technology and Science, Pilani

Bachelor of Engineering (B.E.) — Computer Science

Jan 2010Jan 2014

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