Gurjeet Singh Email and Phone Number
Gurjeet Singh personal email
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Over the course of my 15-year career, I’ve cemented my standing as an international authority in the AI industry, specializing in Deep Learning, Computer Vision, and Big Data Analytics. My transformative roles, including my current position as Senior Scientist at Ericsson and former role as Research Scientist at Ford Motor Company, have had a global impact.I am a dedicated innovator with 5 granted, commercialized patents and an additional 20+ patents published in various countries, including the US, China, and Germany. These innovations have revolutionized the AI industry, contributing over $500M+ in revenue and achieving significant cost savings.My extraordinary performance has been recognized through numerous awards, including the prestigious Globee Award, Global Henry Ford Technology Award, ISB Award and two Powertrain Achievement Awards. This acclaim is a testament to the remarkable impact I have had in the AI field.Beyond my professional achievements, I am passionate about sharing my knowledge and helping others succeed. I offer consultation and mentorship services to individuals aspiring to excel in their careers, particularly in securing EB1A and EB1B visas. Every EB1 aspirant’s profile is unique, and so is the strategy, mentorship, and story narration for their petition. I provide personalized guidance, delving deeply into each client’s profile to identify the most compelling evidence and craft a tailored narrative that maximizes their chances of success.If you’re looking to advance in the AI field, need guidance on the EB1 process, or are seeking a mentor with a proven track record of innovation and commercial success, let’s connect! I invite you to explore my offerings on Topmate.io and discuss how we can work together to achieve your goals.As I look to the future, I am excited to collaborate with like-minded professionals and organizations to further advance the field of AI and help others achieve their dreams.Feel free to reach out, and let’s embark on this journey together!
Ericsson
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Senior ScientistEricsson Aug 2022 - PresentKista, Stockholm, SeAs a Senior Scientist at Ericsson, I lead efforts in scaling DNN models for Computer Vision across different continents, navigating complex data and privacy regulations. I've been instrumental in investigating new AI/ML algorithms, identifying high-impact smart factory use cases, and conducting successful proof-of-concepts to enhance telecom equipment manufacturing efficiency.
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Research Scientist - Autonomous VehiclesFord Motor Company Dec 2012 - Aug 2022Dearborn, Michigan, UsAs a Research Scientist at Ford Motor Company, I've played a pivotal role in the development and implementation of cutting-edge autonomous vehicle technologies - from conception to production.Starting from scratch, I've researched, developed and trained Computer Vision Deep Learning models for driver assist features, leading to a considerable increase in product value and over $500M+ in revenue.One of my significant contributions includes the design and deployment of Deep Learning-based models in production-ready vehicles specifically for Pro-Trailer Backup Assist feature. This initiative, which I led from the ground up, has resulted in over $24 million per year in savings and a reduced reliance on traditional Computer Vision algorithms and other sensor usage.I've been instrumental in advancing collision avoidance technology, developing a system from inception to production using 2D Object Detection by RetinaNet architecture and distance estimation by camera intrinsic and extrinsic matrix.My groundbreaking research and development work in scalable techniques in Deep Learning architecture for measuring prediction confidence/uncertainty & prediction statistics has led to the deployment of this technology in production vehicles for Pro-Trailer Backup Assist feature. This effort, which involved multiple stages from initial concept to final implementation, has resulted in multiple patent filings.I've streamlined and automated the training pipeline, which I built from the ground up. This included the use of data augmentation & data annotation, leading to faster model development and saving months of development time.I've contributed to the innovation and improvement of Ford's products. I've designed and developed Big Data software tools for transmission anomaly detection and statistical optimization. These tools, which I led from conception to implementation, have resulted in significant savings, efficiency improvements, and a reduction in warranty claims. -
Data Science ProjectsHarvard University Jan 2017 - May 2018Cambridge, Massachusetts, Us1. Generated Visual Art using Image Style Transfer & Color Transfer techniques. Tensorflow & Keras used on Amazon AWS GPU instances with CNN and pre-trained VGG16 /VGG19 models. 2. Developed an Optical Character recognition model for license plate detection from images using CNN and bi-directional RNN architecture in AWS GPU instance 3. Implemented Deep Learning Transfer learning technique on pre-trained InceptionV3 features for Dog bread detection4. Developed linear regression and decision tree models using categorical variables (1-of-k) in Spark MLlib Library 5. Predicted Bike Share demand by performing extensive Data exploration with OLS stats, Polynomial regression with interaction terms using stepwise model selection & RidgeCV and LassoCV regularization. Used performance metric: R-square & RMSLE. Implemented PCA on one hot encoded predictors for dimensionality reduction6. Conducted AML & ALL Cancer classification using balanced Gene expression data with logistic regression CV models with Bootstrapping & PCA for dimensionality reduction 7. Created & minimized the cost function for false negative and false positive prediction of Breast Cancer Imbalanced data with Model based imputation. 8. Formulated abstain class for restricting models from wrong prediction for Multi-class Thyroid classification by creating and minimizing hospital cost function. Multinomial Logistic, LDA, QDA, Decision Trees used with hyper parameter optimization with GridSearchCV. ROC and Confusion matrix used as performance metric9. Implemented Flight delay prediction & classification with DOT data using LDA, QDA, kNN, Multi-logistic Balanced, Decision trees, Adaboost classifier, Stats-OLS-linear & polynomial terms with regularization. ROC & Confusion matrix for model accuracy10. Developed Restaurant recommendation system for Yelp dataset using Memory based collaborative filtering, Single Value Decomposition and Logistic regression as Meta classifier -
Scan Arch Matlab EngineerGe Healthcare May 2012 - Dec 2012Chicago, UsDevelopment of CT Beam control integrated system model and code generation for hardware deployment 1) a) Developed CT integrated Beam control, calibration and thermal Simulink & Stateflow models using triggered subsystems to control CT dose on patient b) Timing algorithm implemented to coordinate between subsystems and model tested with different parameters using real data from CT bays and optimized for code generation and hardware implementation2) Developed different plant and control models with close loop control with CT scanners and generated S-functions blocks and code version controlled using IBM rational Clearcase3) Job responsibilities included modeling, simulation, testing, code generation and design documentation -
Graduate ResearcherUniversity Of Wisconsin Milwaukee Aug 2010 - May 2012Milwaukee, Wi, UsDevelopment of Robotic Slip Simulator robot using Machine Learning: capable of mimicking human slip 1) a) Developed a robot using various Linmot motors, sensors and actuators, b) Programmed robot to simulate Human slip using Machine Learning models with Biomechanical parameters. collected and analyzed hydrodynamic fluid pressure at slip surface using pressure sensor and conducted friction force analysis via various fluid contaminants2) A Journal paper is published in ‘IIE Transactions on Occupational Ergonomics and Human Factors’ Extensive analysis of conventional & light weight Jackhammers, project sponsored by Gas Technology Institute1) Developed algorithm using Fast Fourier Transform (FFT),1/3 octave analysis finding critical frequency band using ISO 5349 standard for Jackhammer hand arm vibration & calculated vibration dose and predicted permissible operation hours2) Built algorithm to analyze and find high pressure locations from 25 pressure sensors on operator hand gloves 3) Innovated algorithm for finding fatigue in 12 different muscles using leading, lagging and mean moving window, RMS techniques and frequency analysis on Jackhammer operator4) Paper is published in ‘Journal of Work’ and ‘International Ergonomics Association 2012 congress’, by completing analysis from 700+ files of approx 50 Gigabyte data of wireless EMGs, grip pressure sensors and accelerometers Gait Analysis and ArmeoSpring Stroke Rehabilitation Study using Motion capture data1) Implemented pressure sensors, accelerometers, load cells using DAQ for measuring segments loading during motion2) Developed algorithm in Matlab to analyze the human joint angles, segment momentum, forces and torque -
Graduate Teaching AssistantUniversity Of Wisconsin Milwaukee Aug 2010 - Dec 2011Milwaukee, Wi, Us1) Instructed AutoCAD at University of Wisconsin-Milwaukee for two semesters to engineering students & assisted students in AutoCAD projects. 2) Teaching Assistant for Ergonomics course involving ergonomics principles, stresses in design, analysis of work places and physical environment
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Biomedical Research StudentIndian Institute Of Technology, Delhi May 2008 - Jun 2010New Delhi, InSub Region Identification in Gait Cycle for Real Time Implementation in Biomechanics (for prosthesis development)1) Developed algorithm for identifying sub-regions in gait cycle to implement in real time hardware 2) Project paper published at IEEE Xplore 2011 in ‘International Conference on Systems in Medical and Biology’ Haptic and visual sense overlap perception in Brain-cognitive science1) Concluded as number of surfaces of object increases, sensory overlap of haptic and visual sense occurs, causing confusion in perception, conducted with Tapan Gandhi (Asst. Prof at IIT-D & member in ‘The Sinha Lab for Vision Research at MIT)2) Statistical data analysis (probability distribution, t-test, normality check) was performed in Matlab for the project -
Electrical Engineering StudentAligarh Muslim University Jun 2006 - Jun 2010Uttar Pradesh, InBrain computer interfacing (BCI) for wrist movement classification/discrimination in Matlab 1) Developed an algorithm and GUI by extracting different features to differentiate between wrist movements (pronation, supination, flexion) of various subjects using EEG signals (pacing 64 electrodes on head)2) Wavelets, Bhattacharya coefficients and Linear Discriminate Analysis(LDA) algorithm was used to classify wrist movement -
Biomedical Research ScholarCleveland Clinic Jun 2009 - Aug 2009Cleveland, Ohio, UsKnee monitoring software for post total knee replacement therapy in collaboration with Glenn Research Institute(NASA)1) Built an algorithm and a GUI calculating exercises efficiency and frequency in post total knee surgery therapy with 10+ hours of single dataset using signal processing/conditioning and coding skills for various patient’s prescribed activities2) Software developed in Matlab helped patient achieving complete range of motion after total knee surgery
Gurjeet Singh Skills
Gurjeet Singh Education Details
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Harvard UniversityMachine Learning/Deep Learning/Data Science -
UdacityMachine Learning
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University Of Wisconsin-MilwaukeeEngineering
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Aligarh Muslim UniversityElectrical Engineering
Frequently Asked Questions about Gurjeet Singh
What company does Gurjeet Singh work for?
Gurjeet Singh works for Ericsson
What is Gurjeet Singh's role at the current company?
Gurjeet Singh's current role is Globally-Recognized Senior Scientist & AI Researcher | Prolific Innovator with 26+ Patents Worldwide | EB1A (“Einstein Visa”) Recipient | EB1 Mentor | Autonomous Vehicles | Fellow IET | Fellow IETE | 🎓 Harvard Alumni.
What is Gurjeet Singh's email address?
Gurjeet Singh's email address is gu****@****ail.com
What schools did Gurjeet Singh attend?
Gurjeet Singh attended Harvard University, Udacity, University Of Wisconsin-Milwaukee, Aligarh Muslim University.
What skills is Gurjeet Singh known for?
Gurjeet Singh has skills like Simulations, Engineering, Signal Processing, Programming, C, Machine Learning, Artificial Intelligence, Statistics, Automation, Electrical Engineering, Product Development, Research.
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