About this Candidate
DAVRON CV: Candidate 3809584
SENIOR SOFTWARE ENGINEER | EMBEDDED AI, REAL-TIME SYSTEMS & DIGITAL TWINS
Core Expertise
- Developing low-latency embedded AI and real-time inference pipelines for edge devices.
- Designing digital twin environments for simulation-driven validation and pre-deployment testing.
- Optimizing rendering pipelines and point-cloud workflows in real-time 3D engines.
- Building multi-agent and agentic workflows with live telemetry and operational red-teaming.
- Leading cross-functional engineering teams and operationalizing MLOps for deployed systems.
Project Background
- Built low-latency crew-chief AI processing live vehicle telemetry for autonomous racing platforms.
- Integrated embedded AI on Jetson-class and single-board platforms with BLE and mesh networking.
- Delivered real-time spatial assets and point-cloud rendering for simulation and training applications.
- Developed RTOS/Linux C++ frameworks for high-performance real-time and edge-deployed applications.
- Performed operational evaluations, identified vulnerabilities, and authored SOPs for AI deployments.
Key Skills
- C++ | Python | PyTorch
- Unreal Engine | 3D environment development | Point-cloud rendering
- Real-time systems | Linux | RTOS | Edge deployment
- Digital twins | Simulation | Live telemetry integration
- MLOps | Real-time inference | Multi-agent systems
- MATLAB | Simulink | Blender | AutoCAD
Education
- Core 40 Technical Honors, Computer Science — Ivy Tech Community College
- Mechanical Engineering coursework — Indiana State University
Awards & Recognition
- Contributed to an on-device diffusion-based AI prototype later acquired by a major game engine vendor
Why Interview this Candidate?
A seasoned embedded AI and real-time systems engineer with seven years building low-latency edge inference, digital twins, and simulation-driven validation. Proven track record leading cross-functional teams, delivering production-ready embedded solutions, and collaborating with industry GPU vendors and game-engine partners. They offer immediate impact on embedded AI, telemetry-driven systems, and real-time 3D simulation efforts, and are open to relocation.
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