
Lead Machine Learning Engineer @ STR | (U.S. Citizen) | Machine Learning, Deep Reinforcement Learning, Agentic Workflow, MLOps
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Software Engineer with full-stack Mobile and Web application development experiences to build enterprise and startup applications from scratch to launch. Currently pursuing the expertise to combine data science, machine learning, AI with Augmented Reality.
Harvard Extension School
Robotics, Autonomous Driving and High Fidelity Simulations
January 1, 2021 – May 1, 2021
Harvard Extension School
Deep Learning
January 1, 2020 – May 1, 2020
Harvard Extension School
Probabilistic Learning
September 1, 2019 – December 1, 2019
NYU Tandon School of Engineering
Master’s Degree, Computer Science
January 1, 2016 – January 1, 2018
Stony Brook University
Bachelor’s Degree, Dual Degrees in Information Systems Engineering + Applied Mathematics and Statistics
January 1, 2007 – January 1, 2012
STR
Lead Machine Learning Engineer
October 1, 2025 – Present
STR
Senior Machine Learning Engineer
July 1, 2021 – October 1, 2025
STR
Machine Learning Engineer
March 1, 2019 – July 1, 2021
Insight Data Science
Data Engineer Fellow
September 1, 2018 – March 1, 2019
New York City Metropolitan Area
NYU Center for Urban Science + Progress
Graduate Research Assistant
May 1, 2018 – September 1, 2018
New York City Metropolitan Area
Verizon Labs
Social VR/AR Prototyping Developer - Prototyping Program
January 1, 2018 – March 1, 2018
New York City Metropolitan Area
NYU Tandon School of Engineering
Artificial Intelligence for Video Game Development Research Assistant
September 1, 2017 – August 1, 2018
New York City Metropolitan Area
NYU Center for Data Science
Junior Data Scientist
May 1, 2017 – August 1, 2017
New York City Metropolitan Area
Bloomberg LP
Temporary Augmented Reality Prototype Designer and Engineer
March 1, 2017 – May 1, 2017
New York City Metropolitan Area
MealPic
Co-Founder
February 1, 2017 – September 1, 2017
New York City Metropolitan Area
JGospel.net
Mobile Application Developer, Scrum Master and Virtual Reality Researcher
January 1, 2016 – May 1, 2017
New York City Metropolitan Area
Bank of America Merrill Lynch
Assistant Vice President of Applications Support Delivery Professional Markets
March 1, 2014 – January 1, 2016
Jersey City, New Jersey
FDM Group
North America and APAC Recruitment Consultant
January 1, 2014 – March 1, 2014
Barclays Investment Bank
Cross Product Operations Support/Projects Analyst
February 1, 2013 – December 1, 2013
New York
FDM Group
Junior Java Developer
July 1, 2012 – February 1, 2015
Computer Science Department at Stony Brook University
System Staff for Web/Database Administrator Programming
January 1, 2012 – May 1, 2012
Stony Brook
Career Center at Stony Brook University
Graphic Design Intern + Social Media Manager
May 1, 2011 – May 1, 2012
Career Center W0550 Frank Melville Jr. Memorial Library Stony Brook, NY 11794-33
Teaching, Learning + Technology at Stony Brook University
SeniorConsultant + HelpDesk
August 1, 2008 – August 1, 2011
New York City Metropolitan Area
DevOps for Data Scientists
June 24, 2026 – Present
Deep Learning in Python Course
DataCamp
June 24, 2026 – Present
Building Chatbots in Python Course
DataCamp
June 24, 2026 – Present
AWS Certified Solution Architect - Associate
Amazon
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Data Scientist with Python Track
DataCamp
June 24, 2026 – Present
Certified ScrumMaster®
Scrum Alliance
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong inclination towards advanced R&D, particularly in AI/ML, with significant contributions in the defense sector. While the target role is 'iOS Developer', the candidate's recent experience is heavily skewed towards Machine Learning Engineering. However, earlier experience includes iOS AR app development, indicating a past alignment. The breadth of education and certifications suggests a continuous learning mindset. The cultural fit for a pure iOS development role might require a re-evaluation of recent career focus, but the candidate's adaptability and diverse project background could be an asset.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentorship, and collaboration skills through roles like Lead ML Engineer, Scrum Master, and internal training initiatives. Experience in customer interviews and proposal writing indicates good communication and stakeholder management. The ability to transition research to production and lead complex projects suggests strong operational fit for R&D-heavy environments.