Dr. Jag Mohan Singh

Product Manager

Brooklyn, New York, United States15 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 14 years of experience in AI and ML.
  • Pioneered morphing attack detection during PhD.
  • Developed AI-powered marketing science platform.
Stackforce AI infers this person is a highly skilled AI and Machine Learning expert with extensive experience in graphics and biometrics.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningPythonBiometrics3d GraphicsObject-oriented Programming (oop)

Other Skills

ARM ArchitectureAndroid DevelopmentAndroid OpenCVC++CUDACaffeCgData StructuresDebuggingDeep LearningDesign PatternsEmbedded SystemsGitGraphicsHLSL

About

Jag Mohan brings over 14 years of experience in research and industry, with a strong background in Artificial Intelligence (AI), Machine Learning (ML), and related fields. Industry Experience: Jag Mohan has a proven track record of solving complex problems in various industries, including developing a super-fast algorithm for hardware manufacturing at Applied Materials, a real-time 360 VR stitching solution at Qualcomm, and an accurate inference system for edge devices at Netradyne. Research Experience: Jag Mohan has a strong research background with multiple high-impact publications. Highlights include pioneering 3D morphing attack generation and detection during PhD and a high-speed ray-tracing algorithm in his Master’s. Adrsta AI: He is working on the development of an AI-powered proprietary Marketing Science platform that includes performance measurement of marketing campaigns. Specialties/Interests: AI/ML (Edge AI), Biometrics Research, Computer Graphics, Computer Vision Research & Product Development and Intellectual Property (Patents)

Experience

Adrsta ai

Senior Research Scientist

Sep 2024Present · 1 yr 6 mos · Remote

  • I am developing a proprietary AI-driven marketing science platform designed to provide advanced performance measurement and optimization for marketing campaigns.
Artificial Intelligence (AI)Machine LearningPerformance MeasurementOptimization

Gmac intelligence

2 roles

Principal Engineer

Jun 2024Aug 2024 · 2 mos

Python (Programming Language)C++Artificial Intelligence (AI)Python

AI/ML R&D Consultant

Mar 2024Jun 2024 · 3 mos

Machine LearningArtificial Intelligence (AI)PyTorch

Vehant technologies

Senior Research Scientist

Nov 2022Dec 2023 · 1 yr 1 mo · Delhi, India

Machine LearningArtificial Intelligence (AI)PyTorch

Norwegian university of science and technology (ntnu)

2 roles

PHD Fellow

Aug 2022May 2024 · 1 yr 9 mos

  • I have defended my thesis in the area of Morphing Attack Detection.
Machine LearningArtificial Intelligence (AI)PyTorch

PHD Fellow

Jul 2018Aug 2022 · 4 yrs 1 mo

  • I work in Biometrics specifically Face and Finger modalities. I published around 13 publications during this time in peer-reviewed conferences.
Machine LearningArtificial Intelligence (AI)PyTorchBiometrics

Applied materials

Senior Staff Engineer - Algorithm Developer

Aug 2017Jul 2018 · 11 mos · Bengaluru Area, India

  • I worked in HPC Domain in the CTO Group at AMIND which is in its initial stages. I am responsible for the exploration of different HPC Algorithms and Architectures which include GPU, FPGA, and tools like Vivado HLS. I submitted one trade secret at AMIND.
3D Graphics

Netradyne

Senior Systems Engineer

Apr 2016Aug 2017 · 1 yr 4 mos

  • 1) I had a poster published in HPG 2017 in Graphics Domain
  • (http://www.highperformancegraphics.org/2017/)
  • 2) I had built the library from the source of JSON-C for x86 64 bit, arm 64 and arm architectures. I had written the code using C++11 features for parsing of JSON File and writing.
  • 3) I had ported few functions from Numpy and Scipy to C++.
  • 4) I had written a few kernels in OpenCL for a deep learning network based in Python. These specifically include Convolution Layer, Pooling Layer, Element-Wise Sum, and Relu Layer. The kernels were executed on Android Platform as the entire testing code was in C++.
  • 5) I had done some optimizations in python based code including using cuDNNv5 for testing phase and remove other bottlenecks in python code.
  • 6) I had done some basic Android App coding of features like hiding the display screen and few basic WiFi and Internet settings.
Machine LearningArtificial Intelligence (AI)Object-Oriented Programming (OOP)

Qualcomm

Senior Engineer

Jun 2013Apr 2016 · 2 yrs 10 mos

  • 1) Omnicast Project- I worked on 360-degree Virtual Reality, specifically on GPU part of the project which handles the transformations and stitching a 360 video for consumption by HMDs. The demo of this project was given to CTO of Qualcomm and Leadership at Qualcomm.
  • 2) I had a trade secret acceptance at Qualcomm in Graphics Domain.
  • 3) Autotune Project - I had worked on the automatic tuning of camera pipeline. I had worked on Scalable Software Architecture for this project which can be used for automatic camera tuning of a few blocks of camera pipeline for different chipsets of Qualcomm. I had an oral presentation acceptance for an internal conference at Qualcomm.
  • 4) SmartSnap Project- I had worked on Sensor Fusion of ( Accelerometer, Gyroscope, and Magnetometer) on Android and Android application for SmartSnap project.
  • 5) I had filed one single author patent at Qualcomm in Graphics Domain which was accepted by USPTO. I had one single author paper acceptance at NCVPRIPG 2013 Conference. I had a paper accepted in Graphics Domain in the internal conference at Qualcomm, India.
  • 6) Ilook Project: I was involved with Android App Development. Our Android App allowed for OCR, Translation, and Text to Speech. It was called X-Transpic in Xolo Phone Q500 (http://www.xolo.in/q500), Xolo Q1100 Phone (http://www.xolo.in/q1100), Xolo Q1000 Opus 2 Phone (http://www.xolo.in/Q1000-Opus2), and on Xolo Q900s Phone (http://www.xolo.in/Android-Q900s). I had received Qualstar for commercialization.
3D GraphicsObject-Oriented Programming (OOP)

Samsung electronics

2 roles

Lead Engineer - 2

Feb 2012Jun 2013 · 1 yr 4 mos

  • I worked on DirectX and ANGLE (Almost Native Graphics Layer Engine) specifically on supporting DirectX 10.1 in ANGLE.
3D GraphicsObject-Oriented Programming (OOP)

Lead Engineer - 1

Feb 2012Feb 2013 · 1 yr

  • 1) I worked on Graphics Research and Development. I submitted 2 patents which were accepted internally at Samsung India.
  • 2) Development activity included using 2d graphics rendering APIs. I was involved with working on middleware layer of Graphics Stack for Smart TV specifically on enabling graphics acceleration of 2d rendering inside WebKit. Chrome Browser was cross-compiled for comparison purposes.
  • 3) I was involved with the cross-compilation of the different code bases for the ARM-based platform for Smart TV. I used Rhapsody for High-Level Design and Detailed Level Design. Code coverage was generated using the Bulls-Eye.
  • 4) I worked on DirectX and ANGLE (Almost Native Graphics Layer Engine) specifically on supporting DirectX 10.1 in ANGLE.
3D GraphicsObject-Oriented Programming (OOP)

Intel corporation

GPU Architecture Engineer

Mar 2011Jan 2012 · 10 mos · India

  • 1) I worked on instrumentation for generating trace and statistics of graphics workloads on CPU. I also worked on a simulation of different units of future graphics chips on CPU. I worked on the simulator for the integrated graphics chip product line.
  • 2) I worked on the DirectX 11 pipeline for it and specifically the tesselation unit which comprised of Hull Shader, Tesselator and Domain Shader.
  • 3) I implemented high-quality texture filtering on GPU. I received Intel Corporation Spontaneous Level I/Values Advocate Award for this work.
3D GraphicsObject-Oriented Programming (OOP)

Slideshare

Software Engineer

Jun 2010Mar 2011 · 9 mos

  • 1) SlideShare specialized in sharing content over the internet. I worked there as a Backend Engineer. SlideShare allowed content upload of the form of PDF, PPT, Keynotes, Audio, and Video. A script converted these to a content format which can be viewed on the internet. I was responsible for writing these scripts and also for maintenance of the scripts.
  • 2) I provided the statistics for SlideShare Zeitgeist 2010. I participated in SlideShare HACKDAY where I developed a system to use the HTML5 video tag for different browsers with flash fallback for browsers which did not support HTML5. The system involved transcoding the video into appropriate formats for different browsers.

Iiit delhi

Research Associate

Feb 2010Jun 2010 · 4 mos

  • I worked in Biometrics specifically on Face Recognition in a video. The system was developed on a personal computer with a webcam. The database contained 400 subjects with one image enrolled er subject. Local Binary Patterns were used as features. Additionally, I improved the Viola-Jones algorithm to reduce false positives using the area of skin pixels in detected faces.

Technical university of darmstadt

Visiting Researcher

Apr 2009Sep 2009 · 5 mos

  • I worked in the area of Computer Graphics specifically on ray-tracing and radiometric calibration. The project was to estimate luminosity of the moon from a single image. In the moon images, the sun was the light source, and lighting direction was recovered automatically. EXIF tags were used during this process.

Education

Norwegian University of Science and Technology (NTNU)

Doctor of Philosophy - PhD — Information Security (Biometrics)

Jun 2018May 2024

International Institute of Information Technology Hyderabad (IIITH)

Master By Research — Computer Graphics

Jan 2005Jan 2008

International Institute of Information Technology Hyderabad (IIITH)

B. Tech — Computer Science

Jan 2001Jan 2005

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