Jacob MacInnis
Resume
Resume

Engineering Leadership · Cloud · AI

Jacob MacInnis

Engineering Leader designing cloud & AI architectures.

Hands-on as both a technical leader and top IC helping engineering orgs ship reliable, scalable software. Balancing architecture, strategic planning, product speed, and pragmatic coaching.

  • 5+ years in engineering leadership, blending hands-on technical expertise with strategic vision.
  • From Backend to Frontend and CI/CD, I've led teams end-to-end to ship scalable, resilient solutions.
  • Building AI Agents and ML systems with PyTorch, TensorFlow, and Scikit-learn, staying hands-on with emerging tech.
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Latest Impact

10k+ Stores

Serverless retail architecture powering 1M+ daily transactions.

Team Focus

Director of Engineering

Leading remote-first full stack engineering org across North America, Europe, Australia.

Academia, Certifications and Publications

Certified in AI/ML by Stanford, Duke, DeepLearning.AI, Google and more, as well as author of 50+ technical articles.

Working through Masters of Science in Artificial Intelligence at Colorado Boulder

About & Projects
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About Jacob

Engineering leadership rooted in shipping, mentoring, and modernizing.

I bridge executive priorities with hands-on architecture. From guiding global deployments to building AI side projects, I stay close to the code so teams can scale with confidence.

Jacob MacInnis

Director of Engineering · Cloud & AI · Remote/Boston

Leadership

Hands-on engineering leader focused on architecture, delivery, and coaching. Led global retail platforms across AWS + GCP and partner with product teams to unblock execution.

  • Architect scalable cloud systems and mentor distributed teams.
  • Optimize CI/CD, incident response, and technical decision-making.
  • Publish 50+ technical articles to share playbooks with the community.

Software Engineering Craft

Still coding daily—reviewing PRs, pairing with teams, and prototyping reference implementations to keep architecture grounded.

  • Hands-on with TypeScript, Node.js, React, FastAPI, and serverless patterns.
  • Builds guardrails for testing, observability, and secure-by-default pipelines.
  • Translates executive goals into actionable backlogs and technical OKRs.

AI / ML Practice

Experimenting with applied AI—agents, RAG, and ML systems—to stay sharp while steering enterprise initiatives.

  • Built R2AI (LangGraph refactoring agent) and Agent Cortex (local AI assistant).
  • Shipped RAG APIs, Summit Mind summaries, Agricultural Leaf Vision CV pipeline.
  • Tooling: LangChain, LangGraph, TensorFlow, PyTorch, FastAPI, Docker, GCP.

Certifications & Credentials

Continuous learning keeps my leadership pragmatic and deeply technical.

  • Stanford Machine Learning Specialization.
  • DeepLearning.AI Machine Learning in Production.
  • Duke Managing Machine Learning Projects.
  • Google Cloud ML, plus 1,600 hours of Thinkful full-stack training.

Project Stories

Experiments, launches, and systems I still reference.

Each track highlights a different slice of the work—AI prototypes, ML systems, cloud programs, and the legacy apps that started it all.

2024–2025 AI

AI Agents & Automation

LangGraph agents, local copilots, and RAG systems designed to augment engineering teams.

R2AI Agent hero
AI / ML

R2AI Agent

R2AI is a semi-autonomous refactoring agent built using LangGraph. It analyzes and improves Python code structure using Ruff, refactors it via LLM, and supports human-in-the-loop review with feedback that can trigger iterative improvements.

Github

Stack

PythonLangGraphLangChainOllamaMistralOpenAI APIRuffPoetry

More AI Agents & Automation

2024-2025 ML

ML Systems & Data Products

Computer vision, summarization, and predictive models with pragmatic deployment stories.

RAG API hero
AI / ML

RAG API

production-ready RAG (Retrieval-Augmented Generation) backend built with FastAPI, SentenceTransformers, and FLAN-T5. It demonstrates a modern approach to question-answering using both semantic search and language generation.

Github

Stack

PythonFastAPISentenceTransformerstransformerstorchnumpyFAISSFLAN-T5DockerPoetry

More ML Systems & Data Products

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Legacy Full Stack & Mobile

Full-stack and mobile builds that shipped fast, proved value, and still influence how I mentor teams.

Function Earth hero
Mobile UX

Function Earth

Available at Google Play Store - React Native application t​racks what we are doing around the world to reduce our footprint and preserve our environment for future generations. Built a compost bin? Recycled? Picked up trash from the ocean? Helped the elderly? Took care of an animal? Use Function Earth to log these actions. Race other cities, states and countries to be the greenest region in the world!

Download HereClient RepoServer Repo

Stack

JavaScriptNodeReact-NativeReactReduxExpressMongoDBMongoosemLabHTML5CSS3Passport-JWTJestMochaChaiEnzymeTravis-CIHeroku

More Legacy Full Stack & Mobile

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Tech Stack