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Technical Leader AI LLM Gen AI @ Ford | PhD
With over 15 years of experience in data science and scientific research, I am a data science manager at Ford Motor Company, where I lead a team of data scientists and ML engineers to deploy multiple products in production using AI/ML and NLP. My mission is to deliver significant business impact by providing technical consultation on AI/ML projects throughout the organization and partnering with manufacturing and engineering teams to find new opportunities to apply data and analytics methods for modernizing existing processes and improving product quality and customer satisfaction. My core competencies include generative AI, MLOps, XGBoost, and text classification. I have a PhD in Computational Biochemistry and Biophysics from New York University and multiple publications and certifications in AI/ML and NLP. I have a strong background in solving complex problems in multiple domains using computational methods and leveraging cutting-edge methodology from published research and university alliances. I also have a passion for learning and development, and I organize technical meetings and provide ongoing training and mentorship for my team.
University of Michigan
Research Fellow, Computational Biochemistry and Biophysics
January 1, 2008 – January 1, 2012
Scripps Research
Postdoctoral Fellow, Computational Biochemistry and Biophysics
January 1, 2006 – January 1, 2008
New York University
Doctor of Philosophy (PhD), Computational Biochemistry and Biophysics
January 1, 2000 – January 1, 2006
Panjab University, Chandigarh
Master of Science - MS Honors, Physical Chemistry
June 1, 1998 – May 1, 2000
Panjab University, Chandigarh
Bachelor of Science - BS Honors, Chemistry
June 1, 1995 – May 1, 1998
Ford Motor Company
Data Science Manager AI/ML/NLP
January 1, 2021 – Present
Dearborn, Michigan, United States
Ford Motor Company
Data Science Supervisor
April 1, 2018 – January 1, 2021
Dearborn, Michigan, United States
Ford Motor Company
Data Scientist
September 1, 2015 – March 1, 2018
Dearborn, Michigan, United States
University of Michigan
Assistant Research Scientist
September 1, 2012 – August 1, 2015
Ann Arbor, Michigan, United States
Visual Studio Code for Python Developers
June 24, 2026 – Present
The Data Science of Experimental Design
June 24, 2026 – Present
edX Honor Code Certificate for The Analytics Edge
edX
June 24, 2026 – Present
edX Honor Code Certificate for Tackling the Challenges of Big Data (July 7, 2015 - August 18, 2015)
edX
June 24, 2026 – Present
edX Verified Certificate for Introduction to Computer Science and Programming Using Python
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long tenure at Ford Motor Company, progressing through various data science roles, which suggests loyalty and adaptability within a large corporate structure. Their experience in leading teams and fostering learning opportunities indicates a collaborative and growth-oriented mindset. However, the project diversity is limited to a single company, and the transition from a research background to an ML Engineer role might require assessing their practical software engineering and system design skills beyond data science modeling.
Soft Skills & Operational Fit
The candidate's experience as a Data Science Manager and Supervisor at Ford Motor Company demonstrates strong leadership, team management, and collaboration skills. Their role in partnering with manufacturing and engineering teams, as well as organizing technical meetings, indicates good operational fit and ability to drive cross-functional initiatives. The academic background suggests strong problem-solving and research capabilities.