Fullstack • AI-Native • Cloud Infrastructure
Hands-on senior engineer building production fullstack applications, AI workflows, backend systems, and cloud infrastructure — from fullstack product features to backend automation, ML pipelines, and reliable deployments.
Trusted in engineering projects inside Microsoft, PayPal, Intel, X.com, and more.
Capabilities
Hands-on engineering across four core disciplines to deliver production-grade applications.
Highly responsive, production-ready interfaces integrating modern AI capabilities directly into smooth customer experiences. Focused on dashboard designs, authentication, administrative controls, and AI-assisted task workflows.
Scalable, fault-tolerant service APIs and orchestrations to handle data processing and automation flows. Expert at transactional operations, background queues, systems integrations, and reliable distributed systems.
Practical execution of AI systems outside of simple demo sandboxes. Employs LLM orchestration, custom computer vision, model evaluation harnesses, vector embedding search, synthetic data generation, and inference optimizations.
Robust, highly-available deployment setups and modern delivery pipelines. Implements infrastructure as code, automated continuous delivery, self-healing orchestrations, telemetry logging, and operational observability.
Flagship Case Studies
Deep, production engineering implementations integrating applied AI, workflow automation, and custom system architectures.
An autonomous healthcare automation platform using custom OCR and computer vision navigation to automate complex dental claims cycle processing. Built to operate securely within HIPAA constraints.
Ingests multi-format Explanation of Benefits (EOB) documents, applying local, custom-trained OCR models to read and extract structured denial codes from low-quality scans.
Solves the lack of standard APIs in legacy medical insurance portals. Implements a computer-vision-based navigation pipeline using Python/Selenium that interacts semantically with interfaces, surviving visual portal updates automatically.
Guarantees total data privacy. Fine-tuned open-weight models (Qwen) deployed locally on hardware the clinic controls to isolate Patient Health Information (PHI).

A workflow automation and task orchestration engine focused on operational team execution, code testing, and ticket synchronization.
Coordinates complex background workflows to process Linear tickets, parse feature requirements, write code branches, and trigger automated verification tests.
Built with a high-performance, fault-tolerant Node.js backend. Leverages Redis background queues to handle task state, scheduling concurrency, and reliable worker failovers.
Seamless webhook integrations with GitHub, Linear, Jira, and messaging interfaces to give teams complete transparency into automated build pipelines and test reports.

“I've worked with Mike for over five years across multiple projects. He's a highly qualified engineer, but what sets him apart is how quickly he learns and understands new domains.”
“As a product manager, when I bring him a feature or tool that needs to be built, the first thing he does is start asking the business questions alongside the engineering questions. That's rare — and it can't be quantified.”
“When you have an engineer who's solid on engineering principles, can build and ship deliverables quickly, and also understands the business context behind every ask, that's what makes someone a unicorn in this field.”
Ryan Bent — Sr. Product Manager, Signet Corp.

Proven Track Record
Hands-on senior technical execution at startups and world-class enterprise teams.
Developed platform components and developer-facing tools across multiple product groups.
Systems-level engineering work on performance-critical software close to the hardware.
Built financial services infrastructure handling high-volume transaction processing.
Worked on platform infrastructure during a period of rapid technical transformation.
Hiring Managers & Recruiters
View my engineering team alignment guidelines or download my printable resume in PDF or DOCX formats.
Technical Writing
Deep dives on AI systems, platform architecture, and software engineering workflows.
Software Engineering
An analysis of systemic complexity, regression boundaries, and why software engineering is much more than generating syntax.
Small Business
What's actually working, what's overhyped, how to figure out what to automate, and what it costs.
Get in Touch
Have an engineering opportunity, a complex automation bottleneck, or want to integrate production AI systems into your platform? Reach out directly via email.
augmentedmike@gmail.com