Duane Edmonds
~ ❭ whoami
Software & systems engineer and engineering leader with 25+ years of experience building products and the teams that ship them — across medical devices, robotics, lab automation, and AI.
Currently consulting on a 34-axis ROS2/C++ robotic cell with stereo vision and a React/TypeScript operator GUI. Author of enso — an open-source agent harness where agents author their own tools, compounding capabilities session over session.
Previously led engineering at SummerBio (128,000 tests/day at $13/test, 3x under market) and Ekso Bionics (first FDA-cleared robotic exoskeleton, 112+ million steps as of end of 2019, 30+ countries).
~ ❭ contact
Oakland, CA | 510.393.4416 | duane.edmonds@gmail.com | dedmonds.co | github.com/usefulmove
~ ❭ cat HIGHLIGHTS.md
– Currently building a 34-axis ROS2/C++ robotic system with 8 stereo cameras and React/TypeScript operator GUI — using enso to orchestrate the agentic discovery and context management that accelerates development across motion control, vision services, and embedded-to-frontend protocol seams.
– Owned EksoNR 0-to-1: NSF proof-of-concept to FDA clearance to global launch (30+ countries, 112+ million steps as of end of 2019). Established data telemetry from day one — enabling global usage analytics and rapid root-cause investigation at scale.
– Led engineering at SummerBio’s CLIA-certified diagnostics lab, unifying automation, LIMS, and data architecture to achieve 128,000 tests/day at $13/test (market norm: $38–60). Built Salesforce-to-Snowflake pipeline, reducing transactional system load while enabling real-time operations dashboards.
– Authored enso, a file-based agent harness protocol. Agents self-extend by authoring their own tools; capabilities compound over sessions. Alternative to vector databases: deterministic, retrievable, auditable.
~ ❭ strengths --concise
– Designs and builds agentic AI systems: context engineering, retrieval strategies, agent reliability.
– Systems thinking across technical, operational, and organizational layers — from embedded firmware to cloud data pipelines to LLM agents.
– Calm technical leadership: structured practices, clarity, mentoring.
– Fluent in chaotic environments; brings structure without heaviness.
– Bridges AI, robotics, and data to make intelligent systems practical and trustworthy.
~ ❭ skills
Leadership & Strategy:
Organizational scaling, data-informed decision-making, medical device development, design controls, risk management, regulatory compliance, lab automation, Objectives & Key Results (OKRs), program and project management, cross-functional leadership, executive communication, coaching and team development.
Technical & Tools:
Systems engineering, robotics, automation, mechatronics, embedded systems (C, C++, Rust, Linux), full-stack development (React, Node.js, JavaScript/TypeScript, Figma), LLM context engineering and agentic AI systems, data analysis and visualization (SQL, PostgreSQL, DuckDB, Python, Polars, R), machine learning/deep learning (PyTorch), computer vision (Torchvision), simulation and system modeling, analytics-driven operations improvement, CI/CD (Bitbucket Pipelines), ROS2, WebSocket protocols, real-time camera streaming, Android kiosk / WebView deployment.
Standards & Compliance:
21 CFR 820 (QSR), ISO 13485 (QMS), Medical Device Directive 93/42/EEC, IEC 62304 (Software Development), ISO 14971 (Risk Management), IEC 60601-1 (Safety and Essential Performance), HIPAA, MEDDEV 2.7/1 (Clinical Evaluation).