AI Automation & Agents

Note: Opinions are my own, not my employers With a robust background in AI and product strategy, I bring a wealth of experience from top-tier companies like Microsoft, Google, and Andreessen Horowitz. At Microsoft, I played a pivotal role in shaping the Responsible AI Strategy, focusing on model explainability and fairness. My time at Google Brain involved cutting-edge deep learning projects in medical imaging and robotics. Currently, I mentor founders at Andreessen Horowitz, guiding them on product development and fundraising. If you're looking to enhance your AI productivity and tooling strategies, let's connect and explore how I can help you achieve your goals!

I spent 5 years at OpenAI (2016-2021) during the foundation of modern AI, followed by 3 years as Head of AI - Product Experience at Spotify, where I led teams building AI systems that served 500M+ users. I wasn't just using AI tools. I was in the rooms where architectural decisions were made about how humans and AI systems should interact at scale. That experience taught me something critical: the professionals who thrive in the AI era aren't the ones with the most tools, they're the ones who understand system architecture. After leaving Spotify, I transitioned to independent consulting and immediately hit the same wall my clients now face: tool chaos. I was paying $847/month across 15+ AI subscriptions, constantly context-switching, and seeing diminishing returns. So I applied the same systems thinking I used building products at OpenAI and Spotify to my own productivity stack. The result was the MAO Framework. A methodology that helped me consolidate to 6 core tools while tripling output. Since then, I've helped dozens of professionals (from Microsoft PMs to JPMorgan strategists) escape tool overwhelm and build AI productivity systems that compound rather than just consume budget. I teach what I've built, tested, and proven in my own consulting practice.

I am an AI educator and coach who specializes in training people to practically use increasingly popular agentic coworking tools such as Claude Code and Claude Cowork. My expertise is grounded in more than ten years of experience working with data and AI in a variety of contexts, whether that be as a physical scientist, research analyst, government program manager, or tech startup builder. I understand how AI fundamentally functions and use that knowledge to show how AI can elevate instead of replacing your work. My coaching style is casual and emphasizes learning by doing. Expect practical projects based on your own challenges that you can showcase in your work portfolio along with plenty of reading recommendations for further growth. Outside of coaching, I like to organize tech meetups in the DC area, play video games, and curl up with my cat and a good scifi book.

i'm now coaching people on how to better maximize whatever AI-based tool they use -- helping you ask the right questions and get answers that matter: a few use cases: • 𝗱𝗲𝗲𝗽 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 / 𝗶𝗻𝘁𝗲𝗿𝗻𝗲𝘁 𝗳𝗼𝗿𝗲𝗻𝘀𝗶𝗰𝘀: designing intelligent prompts, asking the right questions to get to the bottom of anything, whether it's a passion project or corporate forensics / due diligence -- then following up to make sure no stone goes unturned -- there are infinite permutations of what this might entail. i've helped 3 different businesses with this now, and about 15 real humans. it's been fun, in large part because it feels like building a dynamic skillset that's immediately testable and learn-from-able. it's also something, if you're actively investing yourself, that you ought to get good at yesterday. • 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 / 𝗽𝗹𝗮𝗻-𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴: whether you're charting out the next 3-5 years of your career, or figuring out which direction to take your business, these thoughts cause more head-fog than most i've come across. there are many really bad ways to do "strategic" work with AI, but some clever, less obvious ways to find inspiration and corral your thinking while making the most of the internet's reach is something i've started helping people with • 𝘀𝗶𝗻𝗴𝗹𝗲 𝘁𝗮𝗰𝘁𝗶𝗰𝘀: need to figure out how to navigate your state's health marketplace? building a personal budget? getting a vacation itinerary together? bring an idea, and we'll go. i'll also help you dig into sources, understand the limitations of what these tools can and can't do, and help you spot pitfalls in an AI tool's output so you know when and how to challenge your GPT of choice -- and integrate your own critical thinking to make sure it's as thorough and accurate as something you might research independently.

My journey being in the deep end of the AI industry (in Silicon Valley), through Stanford courses, and real-world experience, testing, and tooling has equipped me with the materials to help you enhance productivity through AI tools! I am passionate about helping clients harness the power of AI to streamline their workflows and achieve their professional goals.

I'm a Staff Software Engineer at LinkedIn with 7+ years building production AI systems that serve thousands of users daily. I've built AI agents, RAG pipelines, and LLM-powered products from scratch, including systems that reduced sales prep time by 70% and an AI assistant serving 3,000+ sellers. I hold multiple patents in AI/ML. I don't just teach AI concepts. I build and ship AI systems every day. I coach engineers, PMs, and builders who want to go beyond surface-level prompting and actually build with tools like Claude Code, LangChain, MCP servers, and vector databases. Whether you want to become the AI person on your team or ship your first AI-powered product, I'll help you get there with battle-tested patterns from real production systems.

As an AI Automations Engineer at Leland and a AI Automation Expert at Brigham Young University, I have a strong foundation in developing and implementing AI-driven solutions to enhance productivity and workflow. The methodology stems from working as the lead AI engineer at 2 startups and is based in a methodical approach of problem solving. My experience includes creating training programs for business students to master automation workflows and leveraging AI tools, which has equipped me with the skills to coach individuals in optimizing their use of AI for productivity. I have successfully coached 5 clients, helping them integrate AI tools into their professional routines to achieve greater efficiency and impact. If you're looking to harness the power of AI to boost you and your teamsproductivity, let's connect and explore how I can assist you in reaching your goals!

I have been in tech working with AI for over 10 years at Google and Meta. I now teach AI in Marketing at the University of Washington and ELVTR online. I have taught several hundred business leaders and students how to easily apply AI solutions into their sales and marketing workflows and projects. I am up to date with the latest AI solutions.

Coming from a non-technical background, I taught myself AI through hands-on experimentation, “vibecoding” functional prototypes, and staying on top of the latest tools and developments. I understand exactly how to make this technology accessible, practical, and impactful for anyone. I've advised Fortune 500 companies, startups, and research institutions on using AI to streamline workflows, improve decision-making, and launch entirely new products. My work spans AI strategy, product development, and automation, always with a focus on turning cutting-edge capabilities into real-world results.

I actively integrate AI into day-to-day product management workflows and coach others on how to use it responsibly and effectively across the full product lifecycle. My focus is not just on the tools themselves, but on how AI changes operating cadence, decision-making, and execution quality for product teams. I regularly use AI to synthesize large qualitative and quantitative inputs — including stakeholder feedback, customer research, meeting notes, support tickets, and performance data — into actionable product insights and prioritized decisions. I also use it to accelerate product documentation (PRDs, acceptance criteria, roadmaps), structure experimentation plans, and pressure-test product thinking before development begins. Beyond documentation, I apply AI to: - market and competitive analysis - hypothesis generation and validation planning - feature scoping and edge-case identification - UX and copy iteration - prototyping and concept evaluation - preparing executive-level communication and product narratives I also coach professionals on when not to use AI, how to verify outputs, and how to combine domain expertise with AI assistance rather than replacing judgment. A core part of my coaching is teaching PMs how to move from task execution to higher-leverage thinking by offloading mechanical work (summaries, organization, first-draft analysis) while retaining ownership of strategy, prioritization, and decision accountability. My goal is to help product managers become AI-augmented operators — faster, clearer, and more strategic — rather than simply faster at producing documents.