Kraig Orcutt

Lead ML Engineer

Charleston, South Carolina, United States6 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Quantum Reinforcement Learning and AI.
  • Strong background in Computer Vision and Autonomous Systems.
  • Proficient in MLOps and Software Development.
Stackforce AI infers this person is a Machine Learning Engineer specializing in AI and Quantum Computing technologies.

Contact

Skills

Core Skills

Machine LearningComputer VisionSoftware DevelopmentMlopsDeep LearningDistributed SystemsElectrical EngineeringPower Electronics

Other Skills

Amazon Web Services (AWS)AnsibleApache KafkaC#C++Cascading Style Sheets (CSS)Continuous Integration and Continuous Delivery (CI/CD)DevSecOpsDjangoDocker ProductsFPGAGitGitHubHTMLHTML+CSS+JS(Node)

About

Senior Machine Learning Engineer at Lockheed Martin, focused on perception (including computer vision), autonomous systems, and reinforcement learning. I also conduct research in quantum reinforcement learning, exploring the intersection of AI and quantum computing.

Experience

Lockheed martin

4 roles

Senior Machine Learning Engineer

Promoted

May 2023Present · 2 yrs 10 mos

  • Quantum Reinforcement Learning
  • Perception AI/Computer Vision
Quantum Reinforcement LearningComputer visionMachine Learning

Machine Learning Engineer

May 2022Dec 2022 · 7 mos

  • Implementing classification algorithms working in the Machine Learning and Fusion team
GitDeep LearningKubeflowContinuous Integration and Continuous Delivery (CI/CD)JiraLinux+11

Software Engineer

Promoted

Oct 2021May 2023 · 1 yr 7 mos

GitOpenShiftAmazon Web Services (AWS)MongoDBContinuous Integration and Continuous Delivery (CI/CD)Ansible+17

Software Engineer

May 2019Oct 2021 · 2 yrs 5 mos

GitC++Continuous Integration and Continuous Delivery (CI/CD)Distributed SystemsJiraLinux+3

Texas a&m university

New commutation method based on state machine for three-phase HF ac link inverter with passive loads

Aug 2018May 2019 · 9 mos · College Station, Texas, United States

  • https://ieeexplore.ieee.org/abstract/document/8912198
  • Assisted with research in the Renewable Energy and Advanced Power Electronics Laboratory (REAPER). Researched commutation methods using state machines and 3 phase inverter; Specific responsibilities included: Programming sinusoidal PWM and state machines into FPGA using Verilog HDL (Xilinx), publishing introduction for conference-submitted paper.

Education

Georgia Institute of Technology

Master of Science - MS

Jul 2022Jul 2025

Texas A&M University

Bachelor's degree — Electical and Computer Engineering

Jan 2014Jan 2019

Singapore University of Technology and Design (SUTD)

Study Abroad — Computer Engineering

Dec 2017Jan 2018

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