Summary
Overview
Work History
Education
Skills
Skills And Technologies
Timeline
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Jacob Richardson

Mableton

Summary

Dynamic Machine Learning Engineer with a proven track record at Nike, driving over $1 million in savings through innovative GenAI solutions. Experienced in Python, LLM integration, Frontend and Full-stack development. Excels in cross-team collaboration. Passionate about leveraging technology to enhance user experiences.

Overview

8
8
years of professional experience

Work History

Machine Learning Engineer

Nike
Remote
11.2023 - Current
  • Developed GenAI application CSAgent from concept to production in six months.
  • Projected annual savings exceeding $1 million through automated customer service handling.
  • Implemented prompt caching solutions, reducing operational costs by 62%.
  • Contributed to design of CSAgent's integration within multi-agent framework for NikeAI merger.
  • Developed and maintained frontend for a generative AI initiative, enabling cross-team collaboration on LLM-powered features.
  • Implemented pipeline monitoring with services like PagerDuty to ensure timely incident response and model reliability.
  • Act as primary interface between the ML team and internal stakeholders, gathering requirements, providing updates, and delivering solutions.
  • Spearheading internal engineering standards by introducing GitHub Actions workflows, naming conventions, and coding patterns to improve team efficiency and consistency.

Full Stack Innovation Engineer, Technology & Innovation Office

Nike
Remote
05.2022 - 11.2023
  • Supported Nike's Research Lab by building frontend features and prototypes for experimental software applications.
  • Contributed to the development of a digital coaching platform, blending UX, data, and behavioral science into a responsive application.
  • Conducted technical research by reviewing white papers and tracking emerging trends in AI and model scaling, helping inform Nike's innovation roadmap.
  • Partnered with data scientists and product managers to align experimental software with cutting-edge AI developments.

R&D Engineer, Skunk Works Division

Lockheed Martin
Atlanta
05.2021 - 05.2022
  • Conducted top-secret research within Lockheed's elite Skunk Works unit, focusing on radar signature masking via natural terrain and advanced electronic warfare tactics.
  • Collaborated with a multidisciplinary team on future-focused defense technology initiatives under strict security protocols.
  • Applied systems engineering principles to support stealth operations and next-generation battlefield survivability strategies.

Guidance, Navigation & Control Engineer

Lockheed Martin
Atlanta
05.2018 - 05.2019
  • Led Six-DoF and Three-DoF missile simulation efforts for the PAC-3 and THAAD missile defense systems, responsible for intercepting airborne threats.
  • Discovered and corrected a critical simulation flaw related to altitude-based air resistance modeling, improving missile performance projections and launcher placement strategy.
  • Presented simulation insights and strategic findings to high-ranking military personnel, influencing real-world defense planning decisions.
  • Supported classified defense initiatives and ground vehicle programs, contributing to national security through advanced modeling and simulation.

Education

Bachelor of Science - Modeling, Simulation & Visualization Engineering

Old Dominion University
Norfolk, VA

Skills

  • Python and TypeScript
  • JavaScript and React
  • LLM integration (OpenAI, Hugging Face)
  • CI/CD pipelines
  • Model deployment
  • Monitoring and performance tracking

Skills And Technologies

Python, TypeScript, Java, JavaScript, React, FastAPI, Flask, PyTorch, TensorFlow, Scikit-learn, LangChain, Docker, Git, Airflow, Jenkins, SageMaker, Databricks, Firebase, AWS (Lambda, S3, ECS, DynamoDB, CloudWatch, IAM), MLflow, Weights & Biases, Pandas, NumPy, Spark, Feature Stores, LLM integration (OpenAI, Hugging Face), CI/CD pipelines, model deployment, monitoring, experiment tracking

Timeline

Machine Learning Engineer

Nike
11.2023 - Current

Full Stack Innovation Engineer, Technology & Innovation Office

Nike
05.2022 - 11.2023

R&D Engineer, Skunk Works Division

Lockheed Martin
05.2021 - 05.2022

Guidance, Navigation & Control Engineer

Lockheed Martin
05.2018 - 05.2019

Bachelor of Science - Modeling, Simulation & Visualization Engineering

Old Dominion University
Jacob Richardson