Nitin Gupta

AI Researcher

India13 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Large Language Models and Agentic AI.
Proven track record in image and video analytics.
Strong background in data transformation and quality.

Stackforce AI infers this person is a highly skilled AI researcher specializing in computer vision and machine learning applications.

Contact

Skills

Core Skills

Large Language ModelsAgentic AiImage AnalyticsDeep LearningComputer VisionMachine Learning

Other Skills

API Property PredictionAQLAuto-encodersBig DataCC++CUDAContent-Based Image RetrievalCore JavaData CleaningData QualityData StructuresData TransformationData TransformationsDeep Neural Networks

About

I am working as a Senior Research Scientist at IBM India Research AI, New Delhi, India, exploring the areas in Large Language Models and Agentic AI for Data Transformation, Data Quality, Mapping Attributes, Sentence Similarity, API Property Prediction. Specialities: LLMs, Agents, Program Synthesis, Data quality, Deep Learning, Machine Learning, Natural Language Basics.

Experience

13 yrs 9 mos

Total Experience

6 yrs 10 mos

Average Tenure

10 yrs 9 mos

Current Experience

Ibm research

5 roles

Senior Research Scientist

Promoted

May 2022 – Present · 3 yrs 11 mos

Large Language ModelsAgentic AIData TransformationData QualityMapping AttributesSentence Similarity+1

Advisory Research Scientist

Sep 2020 – May 2022 · 1 yr 8 mos

Advisory Research Engineer

Jul 2019 – Sep 2020 · 1 yr 2 mos

I am working as a Advisory Research Engineer at IBM India Research AI, New Delhi, India, exploring the areas in Multi Modal Analytics. Currently, I am focussing on (a) Image and Video analytics using deep neural networks, (b) Automatic way of Data Cleaning and Transformations, (c) GAN's and Auto-encoders for common subspace representation, image style learning, (d) New optimization functions for video/image segmentation etc.

Image AnalyticsVideo AnalyticsDeep Neural NetworksData CleaningData TransformationsGANs+3

Staff Research Engineer

Promoted

Apr 2017 – Jul 2019 · 2 yrs 3 mos

I am working as a Staff Research Engineer at IBM India Research AI, New Delhi, India, exploring the areas in Multi Modal Analytics. Currently, I am focussing on (a) Image and Video analytics using deep neural networks, (b) Automatic way of Data Cleaning and Transformations, (c) Handling Big data using Spark etc, (d) GAN's and Auto-encoders for common subspace representation, image style learning, (e) New loss functions for deep architecture for video/image segmentation etc.

Image AnalyticsVideo AnalyticsDeep Neural NetworksData CleaningBig DataSpark+3

Research Engineer (Fixed Term Hire)

Jul 2015 – Apr 2017 · 1 yr 9 mos

Indian institute of technology, madras

2 roles

MS Research Scholar

Jul 2012 – Jul 2015 · 3 yrs

My research topic was related to Identifying Latent (Salient) Content in Images for the design of Smart Content Based Image Retrieval. "Content-based Search" means search based on the contents of the image rather than the metadata associate with an image. The "content" may refer to colors, shapes, textures, appearance or any other information that can be derived from the image itself. To find the latent (salient) content in image, simultaneous recognition (What) and localization (Where) of an objects in a scene are required. Both the localization and recognition problems when solved in isolation, assume that counter-part has been dealt independently and used as a support (or aid) in the other process. But to solve the problem of "What is Where" to identify the latent content, information from both these processes are required simultaneously and must be integrated in a single unified framework. The proposed approach is also inspired by the cognitive models of visual attention. The knowledge from various domains like Computer Vision, Machine Learning, Pattern Recognition and Cognition domains have been used to design a framework for smart CBIR.

Project Associate

Jul 2012 – Feb 2015 · 2 yrs 7 mos

Development of a framework for "Localization and Identification of Targets in Satellite Images. This Project is funded by Defence Terrain Research Laboratory (DTRL), Delhi.

Content-Based Image RetrievalImage RecognitionImage LocalizationMachine LearningPattern RecognitionComputer Vision

Ibm, research lab , delhi

Internship

Jun 2010 – Aug 2010 · 2 mos

Development of a application, named Free Mobile Services Using Open Protocols and Internet, IBM Research Lab, Delhi
Details of work The aim of our work is to help the companies, institutions etc by making communication easy and virtually without any cost. The project involves three applications: client side mobile application (J2ME implementation), client side laptop/PC application (J2SE implementation) and server side application (J2SE implementation). Our design is based on request-reply architecture. System provides four services: messaging, voice mail, file transfer, access control and an authentication mechanism

Target LocalizationImage IdentificationSatellite ImagesComputer Vision