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Lead Machine Learning Engineer - Generative AI
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Assessing your cultural and operational fit
I am a Lead Machine Learning Engineer specializing in using Machine Learning, Deep Learning, and Natural Language Processing to solve complex business problems.
Stanford University
Artificial Intelligence Professional Program
February 1, 2022 – June 1, 2023
University of Nevada-Las Vegas
Master's degree, Computer Science
January 1, 2019 – January 1, 2019
Udacity
Machine Learning Nanodegree, Computer Science
January 1, 2017 – January 1, 2017
Massachusetts Institute of Technology
Honor Code Certificate, Tackling The Challenges Of Big Data, Big Data
January 1, 2015 – January 1, 2015
Politecnico di Milano
Bachelor's degree, Computer Science
January 1, 2007 – January 1, 2010
Citi
Lead Generative AI Engineer
January 1, 2025 – Present
Irving, TX · Hybrid
Citi
Lead Machine Learning Engineer
February 1, 2022 – Present
Irving, TX · Hybrid
Citi
Senior Machine Learning Engineer
February 1, 2021 – February 1, 2022
Irving, TX · Hybrid
Udacity
Independent Contractor - AI/ML Student Mentors
April 1, 2019 – January 1, 2021
Independent Consultant
Data Scientist | Machine Learning Engineer
September 1, 2015 – December 1, 2020
Las Vegas, Nevada Area
University of Nevada-Las Vegas
Business Intelligence Developer
December 1, 2013 – August 1, 2015
Las Vegas, Nevada Area
University of Nevada-Las Vegas
Computer programming and Math Tutor
August 1, 2013 – December 1, 2013
Las Vegas, Nevada Area
TransPerfect
Internship
August 1, 2013 – December 1, 2013
Las Vegas, Nevada Area
XCS236 - Deep Generative Models
Stanford Engineering Center for Global & Online Education
June 24, 2026 – Present
XCS231N - Deep Learning for Computer Vision
Stanford Engineering Center for Global & Online Education
June 24, 2026 – Present
5-Day AI Agents Intensive Course with Google
Kaggle
June 24, 2026 – Present
Artificial Intelligence: Machine Learning with Graphs
Stanford Online
June 24, 2026 – Present
Artificial Intelligence
Stanford Online
June 24, 2026 – Present
XAA101 - Designing Reliable and Robust AI Systems
Stanford Online
June 24, 2026 – Present
XCS330 - Deep Multi-Task and Meta Learning
Stanford Online
June 24, 2026 – Present
XCS224N - Natural Language Processing with Deep Learning
Stanford Online
June 24, 2026 – Present
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)
June 24, 2026 – Present
Tackling the Challenges of Big Data
MIT Professional Education
June 24, 2026 – Present
Cybersecurity: Technology, Application and Policy
MIT Professional Education
June 24, 2026 – Present
Machine Learning Nanodegree
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career progression at Citi from Senior ML Engineer to Lead Generative AI Engineer shows dedication and growth within a large enterprise, indicating a good fit for structured environments. Their freelance consulting and mentoring roles demonstrate adaptability and a willingness to share knowledge. The breadth of certifications and continuous learning (Stanford, MIT, AWS) suggests a proactive, growth-oriented mindset, which aligns well with innovative and fast-paced technical cultures. The focus on impactful projects with clear business value (e.g., $40M+ savings) indicates a results-driven approach.
Soft Skills & Operational Fit
The candidate's experience at Citi demonstrates strong leadership, collaboration with product managers and designers, and mentoring skills (Udacity). Their ability to translate technical objectives into business goals and lead teams suggests good operational fit and soft skills for a senior role. The descriptions highlight problem-solving and strategic thinking in complex environments.