SUmmary
Computational engineer and data scientist with experience spanning materials simulation, scientific machine learning, and engineering data systems. Background includes applied ML research, Multiphysics simulation workflows, and enterprise-scale computational platforms supporting scientific and engineering decision-making across aerospace, automotive, and advanced manufacturing environments. Interested in trustworthy AI systems, AI-mediated scientific reasoning, and governance challenges surrounding the integration of frontier technology into high-consequence technical environments.
Areas of Expertise
Technical Leadership | Materials Science | Data Science | Statistical Modeling | ML/AI | Database Development | Predictive Modeling | R&D Evaluation | Engineering Lifecycle Management | Numerical Simulation | A/B Testing | Digital Transformation | Agile/Scrum Project Delivery | Stakeholder Engagement | Customer Relationship Management
Technical Tools
Languages
Python, MATLAB, R, JavaScript, HTML5, XML, VBA
Software & Tools
JMP, MaterialCenter, SimManager, MAPS, LAMMPS, Materials Studio, Autodesk NetFabb, Creo, Ansys (Discovery, Fluent, LSDyna, Mechanical, Workbench, Thermal Desktop, Spaceclaim, Minerva, Granta MI), Digimat, AWS (S3, Lambda, Rekognition, EC2, RDS), PostgreSQL, Oracle, MySQL, SharePoint, MS Project, Power BI, Power Automate, Power Apps, Adobe Creative Cloud, Potentiostat, Metallograph, Fluorescence Microscopy, EPMA, SEM, TGA, DTA, DSC, Instron, ImageJ
Core Competencies
Modeling/Simulation, Database Administration, Software Development Life Cycle (SDLC), Data Visualization, Programming, High-Performance Computing (HPC), Big Data Analytics, Natural Language Processing (NLP), Computer-Aided Design (CAD), Product Life Cycle Management (PLM)
Education
Master of Applied Data Science
University of Michigan - Ann Arbor
May 2024
B.S. Materials Science & Engineering (Cum Laude)
North Carolina State University
May 2019
AFFILIATIONS
•Materials Research Data Alliance (MaRDA), Member
•National Society of Black Engineers (NSBE), Member
•The Minerals, Metals & Materials Society (TMS), Member
•Michigan Institute for Data & AI in Society (MIDAS), Student Leadership Board (2023)
CERTIFICATIONS
•Certified ScrumMaster (CSM), Scrum Alliance – 2025
•Lean Six Sigma Green Belt – IASSC
•Materials Data Sciences & Informatics – Georgia Tech
Sept 2024 - May 2026
Dec 2021 – Mar 2024
July 2019 – Nov 2021
Aug 2018 – Jun 2019
May 2018 – Aug 2018
Professional Experience
Ansys part of Synopsys Inc.: Sunnyvale, CA (Remote)
Senior Application Engineer, Ansys Customer Excellence
Senior Application Engineer, Ansys Customer Excellence
Lead technical engagements across the pre-sales lifecycle, including discovery, demonstrations, POCs, and solution strategy development for simulation and process data management (SPDM) systems.
•Developed multiphysics simulation and data management workflows integrating enterprise HPC infrastructure, simulation traceability, and design validation processes for highly technical and regulated engineering environments.
•Collaborated with product and engineering teams on scalable simulation lifecycle management architectures supporting scientific computing, data governance, and materials intelligence systems.
•Observed early adoption of generative AI, LLM-assisted workflows, and agentic tooling within enterprise engineering platforms, contributing to growing interest in trustworthy AI integration, interpretability, and governance in scientific computing environments.
•Developed multiphysics simulation and data management workflows integrating enterprise HPC infrastructure, simulation traceability, and design validation processes for highly technical and regulated engineering environments.
•Collaborated with product and engineering teams on scalable simulation lifecycle management architectures supporting scientific computing, data governance, and materials intelligence systems.
•Observed early adoption of generative AI, LLM-assisted workflows, and agentic tooling within enterprise engineering platforms, contributing to growing interest in trustworthy AI integration, interpretability, and governance in scientific computing environments.
Hexagon AB: Newport Beach, CA (Remote)
Consulting Engineer, Manufacturing Intelligence Division
Implemented enterprise engineering lifecycle platforms, improving digital twin maturity, data connectivity, and manufacturing insight.
•Designed data pipelines, ETL processes, and database schemas supporting new simulation and production workflows.
•Integrated PLM, ERP, ESG, and engineering systems through REST API connections.
•Supported clients through requirements analysis, deployment planning, and technical enablement.
Key Achievements:
•Improved ETL pipeline performance by 10%, enhancing traceability and replacing inefficient legacy code.
•Resolved critical production data corruption, restoring ~1,000 impacted records through redesigned testing and recovery processes.
Denso International: Southfield, MI
Materials Engineer
Led materials quality and supplier engineering for automotive heat exchangers and electronics.
•Directed materials reviews and audits; authored transparent reporting for engineering teams.
•Created and delivered training on non-ferrous metallurgy for operations teams.
Key Achievements:
•SharePoint Workflow Automation: Enabled 66% reduction in work request turnaround; awarded Innovation Recognition.
•Heater Core Material Redesign: Partnered with the supplier and applied MATLAB modeling to design cost-efficient clad aluminum.
•Radiator Material Localization Initiative: Delivered projected annual cost savings of ~$3.1M.
Materials Engineer
Led materials quality and supplier engineering for automotive heat exchangers and electronics.
•Directed materials reviews and audits; authored transparent reporting for engineering teams.
•Created and delivered training on non-ferrous metallurgy for operations teams.
Key Achievements:
•SharePoint Workflow Automation: Enabled 66% reduction in work request turnaround; awarded Innovation Recognition.
•Heater Core Material Redesign: Partnered with the supplier and applied MATLAB modeling to design cost-efficient clad aluminum.
•Radiator Material Localization Initiative: Delivered projected annual cost savings of ~$3.1M.
RedTrim LLC: Raleigh, NC
Project Manager
•Analyzed digital engagement data to guide marketing strategy.
•Built corporate SharePoint repositories, improving project communication.
•Earned Scrum certification to improve delivery execution.
Hewlett-Packard: Corvallis, OR
3D Printing Engineering Intern
•Studied post-processing impacts on polymer mechanical performance using microscopy and JMP.
•Presented outcomes at the HPI Summer Intern Poster Fair.
3D Printing Engineering Intern
•Studied post-processing impacts on polymer mechanical performance using microscopy and JMP.
•Presented outcomes at the HPI Summer Intern Poster Fair.