Amanmeet Garg Email and Phone Number
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I build computer vision solutions with deep neural networks and classical computer vision and image processing algorithms. I have deployed CV solutions in iOS mobile platform, AWS cloud API, and deskside systems. Further, I developed solutions for medical data, mobile health, wearable devices, robotics, and cloud systems.some of my research focus includes: Deep learning models for multi-modal data, Sensor fusion for wearable health monitoring, High dimensional topological data analysis, and Graph theoretic machine learning algorithms for medical and healthcare data.I am always on the lookout for unsolved or sub-optimally solved problems and love to learn from everyone's experience. Please reach out to me and share your experiences and interesting problems you are trying to solve.Keywords: Computer vision, Pattern Recognition, Machine Learning, Deep learning, Physiology Experiments, Predictive analytics, Wearables, NeuroImaging, healthcare, Big Data.
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Cv And Ml ScientistPrime Video & Amazon StudiosUnited States
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InvestorCurioed Jan 2022 - PresentGurgaon, Haryana, In -
Cv / Ml ScientistPrime Video & Amazon Studios Aug 2022 - PresentSeattle, Washington, Us
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Senior Applied ScientistGracenote Mar 2020 - Aug 2022Emeryville, Ca, Us- Developed a video scene content detection model for automated video summary creation.- Tech lead for video Automated Content Recognition (ACR) module.- Large scale ( 150 TB+ per month ) pipeline for video processing.- Podcast summarization, video summarization, Graph neural networks, image compression and retrieval. -
Computer Vision Research EngineerPiñatafarms May 2019 - Nov 2019Los Angeles, Ca, Us• Developed a semantic segmentation CNN model for human body parts in images.• Developed a general Object tracker model for videos with siamese network.• Developed a scene change detector algorithm for video scene changes.• Deployed a video analysis pipeline with neural network models, pre and post processing algorithms.• Tools : Pytorch, python, iOS coremltools, openCV. -
Computer Vision Research EngineerFoxeye Robotics Nov 2018 - Apr 2019Oakland, California, UsBuilt 2D object segmentation algorithm for small object detection.Built stereo matching based 3D object location algorithm for robot guidance.Built stereo calibration system for 3D localization in 2 camera setup.C++, OpenCV, ROS ( message passing ), UML software architecture diagrams. -
Computer Vision And Deep Learning EngineerMdacne Nov 2017 - Oct 2018• Developed and deployed a computer vision algorithm for video facial acne analysis deployed in iOS application.• Developed a system and manually labelled image data for facial acne analysis.• Developed a first-of-its-kind small object detection, convolutional neural network model pipeline for skin acne detection.• Deployed a trained Keras deep neural network model in iOS application used by 5000+ daily users.• Deployed trained model on AWS Lambda cloud for delivery on web applications.• Tools : Tensorflow, python, numpy, Keras, iOS Coremltools, AWS, c++, openCV, JSON.
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Machine Learning EngineerPlantiga Dec 2016 - Aug 2017Vancouver, British Columbia, Ca1. Developed two Neural networks ; 1) Convolutional Neural Network (CNN) architecture and 2) a Recurrent Neural Network (RNN) architecture for time series signal segmentation for automated human activity recognition with 94% accuracy and 92% Sensitivity.2. Manually curated data sets from company hardware for ML systems.3. Implemented a sensor fusion filter and Zero velocity update motion path integration algorithm for in-motion foot localization.Tools : Tensorflow, Git , AWS, Scrum, Python, Numpy, Pandas, Scipy PostgreSQL, DataGrip, PyCharm . -
Phd Research AssistantSimon Fraser University Jan 2011 - Jun 2017Burnaby, Bc, Ca1. Developed a method for Topology Data Analysis of brain geometry with ~80% classification accuracy in predicting Parkinson's disease.2. Developed a Shape Topology method and Surface displacement shape feature for shape analysis of subcortical brain anatomy.3. Developed Ground truth MRI segmentation atlas for improvement in segmentation from 84% to 92%.4. Regression analysis, Kernel SVM, Kernel PLS regression.Tools: Linux, parallel processing on compute cluster, Matlab, bash scripting.Clinical application in Parkinson's diagnosis, premature birth progression. -
Graduate Teaching AssistantSimon Fraser University Sep 2012 - Apr 2017Burnaby, Bc, CaHuman Anatomy; Human physiology; Active health; Exercise and work physiology, Digital image processing.
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Graduate Research Assistant (Gra)Simon Fraser University Aug 2008 - Dec 2010Burnaby, Bc, Ca1. Developed a Physiological model for cardiovascular and postural control system interaction.2. Statistical validation a Wavelet transform coherence pipeline for analysis of biomedical signals.3. Conducted physiology data acquisition experiments with human participants.
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Research Engineer - Mhealth, Image Processing, ConsultantEtreatmd Feb 2016 - Jun 2016Completed two healthcare analytics projects crucial to the core product of the company.1. Developed a clinical reporting and analytics visualization system.2. Developed a image analysis system for mobile health application.3. Developed and conducted research to transform of in house developed algorithms for image analysis into C++.Tools : Matlab, JSON reader.
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Research And Development EngineerMetaoptima Technology Inc. Aug 2015 - Dec 2015Vancouver, British Columbia, Ca1. Manually curated a dataset for skin mole images with malignant, benign lesions via web scraping.2. Developed Deep Convolutional Neural Network (CNN) for prediction of Skin Cancer from dermoscopy images.Tools : Torch, Git, Scrum, Python. -
Research EngineerNeurokinetics Health Services (B.C.), Inc. Jul 2013 - Jun 2014Vancouver, B.C., CaDeveloped methods for analysis of MRI data in Post Traumatic Stress Disorder and Concussion patients. -
Research EngineerNeurokinetics Health Services (Bc) Ltd. Dec 2009 - Nov 2010Vancouver, B.C., Ca1. Conducted a study and and analysis of posture data in hockey players suffering from concussion.2. Integrated a Cardio-postural model into clinical assessment methodology.
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Accelerate Program InternMitacs Jan 2010 - Aug 2010Vancouver, Bc, Ca -
Summer InternGoldman Sachs Jun 2007 - Jul 2007New York, New York, UsDeveloped an application for the automation of the recurrent payments.Technology: Java, GUI in Java. -
Research InternIndian Institute Of Technology, Kharagpur Dec 2006 - Jan 2007Kharagpur, West Bengal, InDid a study on the feasibility of the use of ultrasound imaging for the near skin imaging of blood vessels. -
Summer InternCentral Scientific Instruments Organization Jun 2006 - Aug 2006At CSIO I was a part of the team responsible for the development of imaging module for radiation therapy and developed an application in VC++
Amanmeet Garg Skills
Amanmeet Garg Education Details
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Simon Fraser UniversityMedical Image Analysis -
Simon Fraser UniversityBiomedical Physiology And Kinesiology
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Punjab Engineering CollegeElectrical Engineering
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Ajit Karam Singh International Public SchoolHigh School
Frequently Asked Questions about Amanmeet Garg
What company does Amanmeet Garg work for?
Amanmeet Garg works for Prime Video & Amazon Studios
What is Amanmeet Garg's role at the current company?
Amanmeet Garg's current role is CV and ML scientist.
What is Amanmeet Garg's email address?
Amanmeet Garg's email address is am****@****ail.com
What is Amanmeet Garg's direct phone number?
Amanmeet Garg's direct phone number is +122483*****
What schools did Amanmeet Garg attend?
Amanmeet Garg attended Simon Fraser University, Simon Fraser University, Punjab Engineering College, Ajit Karam Singh International Public School.
What are some of Amanmeet Garg's interests?
Amanmeet Garg has interest in Cooking, Technology, Civil Rights And Social Action, Education, Environment, Hiking, Music, Science And Technology, Disaster And Humanitarian Relief, Human Rights.
What skills is Amanmeet Garg known for?
Amanmeet Garg has skills like Matlab, Biomedical Engineering, Signal Processing, Labview, Machine Learning, Medical Imaging, Data Analysis, Pattern Recognition, Electrical Engineering, Latex, Programming, Image Processing.
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