Help & Supportcareers@gravityer.com
ML Engineer at Meta Reality Labs, ex-Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The University of Texas at Dallas
Master's Degree, Electrical Engineering (Machine Learning & Signal Processing)
N/A – Present
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Bachelor’s Degree, Electronic Engineering
N/A – Present
Meta
Staff Research Engineer
September 1, 2024 – Present
San Francisco Bay Area
ODF
Technical Founder
June 1, 2023 – August 1, 2024
San Francisco Bay Area
ML Engineering Lead
January 1, 2021 – January 1, 2023
ML Engineering Lead
January 1, 2019 – January 1, 2021
Volkswagen Group of America Innovation and Engineering Center California (IECC)
Senior Machine Learning Engineer
January 1, 2016 – January 1, 2019
San Francisco Bay Area
Verizon
Software Engineer
January 1, 2015 – January 1, 2016
Dallas/Fort Worth Area
University of Texas at Dallas
Graduate Researcher, Center for Robust Speech Systems (CRSS)
January 1, 2014 – January 1, 2015
Dallas-Fort Worth Metroplex
Halliburton
Research And Development Engineer
January 1, 2013 – January 1, 2014
Greater Houston
Warid Telecom
Network Design Engineer
January 1, 2011 – January 1, 2012
Deep Learning for Speech Classification and Speaker Recognition
January 1, 2014 – January 1, 2014
Speech Classification and Speaker Recognition using Deep Neural Network based acoustic models
Recurrent Artificial Neural Networks
January 1, 2012 – January 1, 2013
Backpropagation neural network with one level of memory. Machine learning. Pattern Recognition. Gradient descent and Conjugate gradient methods.
Bioelectrical Eye Tracking System
January 1, 2010 – January 1, 2011
Senior design project Human-computer interface with complete computer-control through EOG signals extracted from around the human eyes. Applications include assistance for the disabled, eye-saccade disease diagnosis, scenario-dependent eye motion analysis.
Semi-Autonomous Vehicle for Inspection, Observation & Ultimate Rescue (SAVIOUR)
January 1, 2009 – January 1, 2010
Fabrication of mobile robot for remote surveillance of possible victims on earthquake-simulated terrains using a variety of sensory devices and video feed
Cultural Fit Analysis
The candidate has a diverse background spanning large corporations (Google, Meta, Volkswagen, Verizon, Halliburton) and entrepreneurial ventures (ODF, Google Area 120). Their project history shows a strong interest in advanced AI/ML applications, which aligns with innovative and research-driven cultures. However, the target role is 'Data Analyst', which is a significant shift from their extensive ML Engineering Lead and Research Engineer experience. While they possess strong analytical skills, the direct alignment with a pure 'Data Analyst' role, which often focuses on business intelligence, reporting, and statistical analysis rather than ML model development, is not explicitly demonstrated in their recent roles. This could indicate a potential mismatch if the Data Analyst role is not heavily focused on advanced ML-driven insights.
Soft Skills & Operational Fit
The candidate's experience as a Technical Founder and ML Engineering Lead at Google's Area 120 suggests strong initiative, problem-solving, and leadership skills. Their work on user-facing features for Pixel devices indicates an ability to translate complex ML concepts into practical applications. The descriptions imply a collaborative approach, especially in leading teams and iterating towards product-market fit.