joshrobertsaiml@gmail.com | (812) 791-2800 | Eastern US | github.com/TheJoshCode
AI Systems Engineer with 6+ years of experience building AI systems and leading teams of industry experts in software and AI engineering. Holds an Associate of Science in Computer Science from Ivy Tech Community College. Has a contacts list of recommendations from top tech and DoD leadership. Builder who loves to lead. Early adopter of AI-Assisted Development and avid Claude Code user with both cloud and edge models.
Leadership & Collaboration: Cross-Functional Team Leadership, DoD Stakeholder Engagement, Client Scoping & Delivery, Prototype-to-Production Scaling, Technical Roadmapping
AI Architectures: Multi-Agent Systems, RAG, Vision-Language Models (VLM), SLAM, Temporal Memory, Real-Time Inference Pipelines
Languages: Python, C++
Domains: Autonomous Vehicles, Defense AI, Edge Deployment, Human-AI Interaction, Low-Latency Systems, Interactive Production Systems
November 2025 – Present
- Design and deliver embedded + cloud AI agent systems for corporate clients as a recognized SME of AI systems.
March 2025 – November 2025
- Led full-cycle development of Maveric AI, a real-time AI race crew chief system ingesting live telemetry from an autonomous Formula-style racecar and delivering situational awareness and voice-based feedback to drivers and pit crews.
- Managed a team of AI engineers and UX developers to scale Maveric from prototype to a production-ready system deployed for the F1 league.
- Competed at Department of Defense (DoD) events focused on autonomous agents and situational awareness at military installations; collaborated directly with soldiers and DoD personnel to refine UX for practical field use.
October 2020 – March 2025
- Managed a team of engineers maintaining the internal infrastructure and inference pipelines in the Dream plugin.
- Engineered real-time AI inference pipelines for UE5 Let's Dream, a plugin for Unreal Engine 4 that uses computer vision AI filters to turn greybox environments into AI concept-completed renders.
- Designed and maintained a RAG system for a user-system knowledgebase to generate and suggest prompts for user-style generation of AI images.
May 2020 – October 2020
- Developed core application functionality in Python and C++, iterating on features for interactive real-time applications.
- Learned key concepts of computer vision and proper implementation from the company's founder.
Ivy Tech Community College | August 2018 – May 2020
- Completed accelerated coursework beginning in high school through dual enrollment, finishing a full computer science curriculum within two years.