Aditya Dargan

About Aditya Dargan

Machine Learning Engineer & Product Leader with expertise in scalable backend systems and quantitative analytics. MS in Machine Learning from Georgia Tech (completed while maintaining full-time engineering role). Proven track record spanning hedge fund quantitative research, ML engineering, and enterprise product management.Core Technical Competencies:Backend Engineering: Distributed systems, API development, data pipeline architectureMachine Learning: Deep learning, statistical modeling, production ML systemsQuantitative Analysis: Financial modeling, algorithmic trading research, statistical inferenceProduct Analytics: Data-driven product optimization, experimentation frameworksCurrent Role: Product Manager at Ford Pro, leading Vehicle Analytics initiatives that leverage advanced data science to optimize commercial fleet ordering experiences for enterprise and government clients. Drive cross-functional teams to deliver data products serving Ford\'s B2B customer segment.Professional Interests: Applied AI/ML systems, decentralized finance (DeFi) protocols, poker and quantitative trading strategies.

Experience

1. Senior Product Manager

   Ford Motor Company

   Feb 2024 — Present

   Piloting Gemini Flash 3.0-powered diagnostic chatbot across 5 dealerships with 20% of appointments now pre-screened by AI; dealerships planning to default all incoming appointments through the bot, freeing service advisors from intake triage for higher-value work; built technician rating pipeline across 150 conversations with roadmap to automate scoring via LLM-as-judge as rollout scales-Defined requirements and roadmap for real-time vehicle data integration to dynamically ground AI diagnostic summaries with live telemetry; establishing foundation for RAG-based retrieval as data sources and dealership footprint expand-Built Ford Pro\'s predictive analytics suite from 0-1, defining product vision and roadmap across forecasting, order tracking, and real-time dashboards; now serving 60-100 commercial and government fleet customers.

Education

• Georgia Institute of Technology

  Master of Science, Computer Science, Machine Learning

  2018

• Carnegie Mellon University

  Bachelor of Science (B.Sc.), Business Administration (Tepper School of Business)

  2012 — 2016

• Carnegie Mellon University

  Bachelor of Science (B.Sc.), Computer Science

  2012 — 2016

Skills

• Powerpoint
• Microsoft Excel
• Microsoft Powerpoint
• C
• Html
• Sql Azure
• Data Analysis
• Analysis
• English
• Python
• Event Planning
• Photoshop
• Social Media
• Sml
• C++
• Matlab
• Java
• Teamwork
• Statistics
• C#
• Options
• Analytical Skills
• Windows
• Accounting
• Research
• Microsoft Office
• Microsoft Word
• Team Leadership