Python, AI, IoT, and data systems for business owners and growing teams
You get production-focused execution, proactive communication, and systems built for long-term reliability — not just demos.
Mike Cunningham
Owner
Share your use case and constraints. You will get a direct technical plan, scope, and next-step recommendation.
903-339-5048Production delivery across embedded systems, web platforms, and AI workflows.
Operator perspective on deadlines, budgets, stakeholders, and execution risk.
Hands-on leadership across field operations, software delivery, and support teams.
Experience in operationally complex environments with real uptime and compliance pressure.
Full-stack development with Python, Flask, Django, and PostgreSQL. Internal tools, customer portals, admin dashboards, and API backends built to your specifications.
Autonomous AI agents with RAG, vector databases, and semantic search. Systems that reason over your documents, automate complex workflows, and integrate with your existing tools.
ESP32, Arduino, and real-time sensor integration. Industrial monitoring, paint booth systems, conveyor counting, and the GeoSpect instrumentation platform.
Real-time process monitoring and control systems. WITS protocol streaming, pressure cycling automation, and chromatography integration for industrial applications.
High-volume extraction pipelines with proxy rotation and fault tolerance. Government procurement portals, financial data, legal leads, and competitive intelligence.
Split inference systems that keep sensitive data local while leveraging cloud compute. Run powerful language models without exposing your proprietary information.
Cross-platform mobile apps for iOS and Android, integrated with your APIs and existing web systems.
We define the technical objective, constraints, and success criteria up front so execution stays focused.
Continuous progress with regular updates and working checkpoints throughout development.
Proactive risk flags, practical tradeoffs, and production-minded implementation from day one.
"Privacy-Aware Split Inference with Speculative Decoding for Large Language Models over Wide-Area Networks" — A system for running large language models privately by splitting computation between trusted local hardware and untrusted cloud servers, achieving 8.7–9.3 tokens/second over real-world network conditions.
Read the paper on arXiv →16 years running a multi-state company means I understand deadlines, stakeholders, P&L impact, and what "done" actually means. I think about your business goals, not just the code.
Not just using AI tools — doing original research on LLM inference, published on arXiv. The same engineering rigor goes into every project.
I've built and sold a complete hardware/software product (GeoSpect Instruments). I understand the full lifecycle from prototype to production to ongoing support.
I bridge the gap between physical systems and code. IoT sensors, industrial protocols, embedded devices, and web platforms — all from one developer.
I bootstrapped a company from nothing, figured out problems under pressure, and delivered without being managed. I communicate proactively and own outcomes.
From drilling rigs to data centers. I've solved problems in oil fields, manufacturing floors, legal offices, and healthcare operations. Every project benefits from that perspective.