About Me
I'm the Lead Senior Data Scientist at Sustainment, where I leverage cutting-edge AI to optimize manufacturing supply chains. With a background in both Mechanical Engineering and Data Science, I bring a unique perspective to solving complex technical challenges.
My expertise spans across AI, computer vision, and machine learning, with a particular focus on implementing state-of-the-art Large Language Models (VLMS/LLMs) for practical business applications. As a full-stack data scientist, I lead and mentor a team of data scientists in developing end-to-end solutions, from data acquisition and analysis to deploying models in production as scalable APIs. Together, we create innovative solutions that enhance manufacturing efficiency and streamline part procurement processes.
Skills
Technical Expertise
Python
100%Expert in Python development, building robust end-to-end AI/ML applications that deliver real-world functionality and drive business value
Gen AI
95%Proven expertise in building large language models (LLMs) and vision-language models (VLMs) applications
Machine Learning & Deep Learning
95%Deep knowledge for choosing the right AI technology for the job
AWS Cloud Development
95%Specialized in cloud-based AI infrastructure and architecting scalable deployment solutions
Data Analytics
100%Mastery in data preparation and extracting actionable insights from complex datasets to drive informed decision-making
Computer Vision
85%Proficient in image processing, intrinsic calibration, algorithms, and more
Management & Leadership
Team Leadership & Mentorship
100%Experienced in leading teams, mentoring team members, and fostering a collaborative and high-performance culture
Business Acumen
95%Strong understanding of business impact, strategy, and aligning data science with organizational goals
Agile Management
90%Skilled in leading cross-functional agile teams and managing projects through iterative development
Communication & Storytelling
100%Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences
Experience
Lead Senior Data Scientist
Sustainment
Austin, TX (Remote)
July 2023 – Present
Sustainment is a software and AI company focused on optimizing manufacturing supply chains through AI-driven solutions, connecting contracting teams with U.S. manufacturing suppliers to enhance throughput, reduce rework, and streamline part procurement.
As the Project Lead for Sustainment's core AI products, I report directly to the VP of Data Science and manage a team of three data scientists to develop AI-driven solutions for part procurement. I am responsible for defining the project scope, ensuring timely deliverables, and driving successful outcomes. Additionally, I lead the fine-tuning, deployment, and ongoing operations of Vision-Language Models (VLMs) and Large Language Models (LLMs), applying advanced AI techniques to address complex challenges. A highlight of my role is delivering technical demos to board members and customers, where I showcase the product's impact and help generate new business opportunities.
Data Scientist - Camera Systems
Aptiv
Troy, MI (Hybrid)
2018 – July 2023
Aptiv is a global technology and manufacturing tier-1 automotive supplier that develops integrated autonomous driving solutions to enable the future of mobility.
As a data scientist on the Camera Systems team, I leveraged real-world camera data in Python to extract actionable insights, develop visualizations, and present findings to upper management and customers, influencing key product and design decisions. I also developed full-stack image processing solutions for manufacturing, implementing image quality metrics like intrinsic calibration, focus score, SNR, and demosaicing, which significantly improved quality control processes in camera module production.
Education
Master of Science in Data Science
Western Governors University
2022
Bachelor of Science in Mechanical Engineering
Purdue University
2018