Faisal Mohammad

ML Engineer

https://talent.gravityer.com/faisal-mohammad

Senior Machine Learning Engineer

The Johns Hopkins University Applied Physics Laboratory

Key Strengths

Extensive academic background with a PhD in Computer Science and a Master's in Electrical and Computer Engineering, providing a strong theoretical foundation for ML.
Over 6 years of dedicated experience as a Machine Learning Engineer at reputable organizations (Johns Hopkins APL, Northrop Grumman), indicating practical application of ML principles.
Experience in AI/ML roles aligns directly with the target ML Engineer position.
Experience at a research institution (Johns Hopkins APL) suggests exposure to advanced and cutting-edge ML problems.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's experience is primarily within large defense contractors and research institutions. While this demonstrates a strong technical background, the diversity of project types and exposure to different organizational cultures is not explicitly detailed. The lack of personal projects or diverse industry experience makes it difficult to fully assess cultural fit beyond a highly structured, research-oriented environment.

Soft Skills & Operational Fit

The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, offering no insights.

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About

I'm a software research engineer specializing in deep learning applications for autonomous systems. These primarily include building and deploying computer vision solutions for various modalities e.g electro-optical, infrared, sonar. I am also completing a part-time PhD in maritime perception with a novel focus on vision-language approaches (VLM/LLM).

Top Skills

Natural Language Processing (NLP)Artificial Intelligence (AI)Data scienceCudaAutonomous VehiclesMachine LearningReinforcement LearningDeep LearningResearchMobile applicationsData AnalysisAlgorithmsmathematicsMathematical ModelingComputer ScienceSoftware DevelopmentComputer VisionImage ProcessingTensorFlowC++Microsoft OfficeJavaMatlabMicrosoft ExceltheanoKerasJiraGitGithubJavaScriptPythonEclipseAndroid SdkPyTorchLeadershipTeamworkNatural Language ProcessingNeural NetworksAlgorithm DesignMobile Application DevelopmentScikit LearnOpencvNumpySciPyGPUSlam

Skills

Education

University of Maryland Baltimore County

Doctor of Philosophy - PhD, Computer Science

N/A – Present

Rutgers University

Master of Science, Electrical and Computer Engineering

N/A – Present

Rutgers University

Bachelor's degree, Physics

N/A – Present

Experience

The Johns Hopkins University Applied Physics Laboratory

Senior Machine Learning Engineer

February 1, 2019 – Present

Laurel, Maryland · Hybrid

Northrop Grumman

Machine Learning Engineer

May 1, 2017 – February 1, 2019

Greater San Diego Area

TD Ameritrade

Software Engineer Intern

May 1, 2016 – August 1, 2016

Jersey City, NJ

Rutgers University–New Brunswick

Graduate Research And Teaching Assistant

September 1, 2015 – May 1, 2017

New Brunswick, New Jersey, United States

Key Strengths

Extensive academic background with a PhD in Computer Science and a Master's in Electrical and Computer Engineering, providing a strong theoretical foundation for ML.
Over 6 years of dedicated experience as a Machine Learning Engineer at reputable organizations (Johns Hopkins APL, Northrop Grumman), indicating practical application of ML principles.
Experience in AI/ML roles aligns directly with the target ML Engineer position.
Experience at a research institution (Johns Hopkins APL) suggests exposure to advanced and cutting-edge ML problems.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, offering no insights.