Tech Stack Playbook® is an award-winning software engineering firm renowned for crafting cutting-edge solutions for enterprise and startup clients alike. As a dynamic media brand, we deliver impactful insights on building, deploying, and leveraging technology to our 20,000+ followers, featuring tutorials, case studies, and industry highlights.

𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝘁𝗼 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲? 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝘄𝗶𝘁𝗵 𝘂𝘀 𝗼𝗿 𝘀𝗲𝗻𝗱 𝗮 𝗱𝗶𝗿𝗲𝗰𝘁 𝗺𝗲𝘀𝘀𝗮𝗴𝗲!

𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: AWS, Docker, Python, Next.js, React.js, React Native, TypeScript, Node.js

𝗞𝗲𝘆 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻:

⦿ AWS DevTools Hero by Amazon Web Services

⦿ 5-time global hackathon winner

⦿ freeCodeCamp Top Open Source Contributor

⦿ Founded open-sourced CoronaTracker, featured in Decrypt: https://bit.ly/Decrypt-CoronaTracker

𝗞𝗲𝘆 𝗧𝗮𝗹𝗸𝘀:

⦿ AWS NYC Summit on Serverless & IaC: https://bit.ly/BHH-AWSNYCSummit23

⦿ AWS re:Invent on Full-Stack Development: https://bit.ly/BHH-AWSreInvent2022

⦿ AWS User Group on Amazon SageMaker: https://bit.ly/4b4qvfK

With a reach of over 10.4k+ followers across YouTube, Instagram, LinkedIn, blogs, and other social media platforms, the Tech Stack Playbook is a collection of lessons, vlogs, and guides for navigating the wild world of tech. The Tech Stack Playbook is your guide to apps, software, and tech (but in a fun way, I promise).

If you’re looking to dive deep into some of the industry’s best kept secrets that I give out FOR FREE around technology innovation, entrepreneurship, startups, and full stack development, then you’ll definitely want to subscribe.

Check out the channel at: www.youtube.com/brianhhough

At The Motley Fool, I help design and build intelligent systems that power both internal tools and customer-facing platforms. My work spans full-stack development, LLM and agentic systems, data pipelines, and secure cloud architecture.

Projects have included building chat interfaces for our internal AI assistant, developing scalable file-processing pipelines, optimizing Python workloads, and deploying infrastructure with Terraform, CDK, and Serverless Framework on AWS.

I work cross-functionally with engineering, AI, and data teams to deliver tools that are fast, secure, and easy to scale — while also shaping best practices around testing, auth, and documentation.

Tech Stack:

Next.js, React, TypeScript, Python, AWS (EKS, Lambda, S3, EventBridge, AppSync), Terraform, Serverless, Snowflake, Databricks, Streamlit, Auth0, Okta

I built, launched, and owned FoolLabs, a token-gated web3 "learn and earn" education dapp. The overall goal was to build an autonomous, web3 platform that would teach early adopters of crypto how to learn, build, and earn in the web3 ecosystem, from wallet management to NFT utilization. To launch the platform, I led a private NFT mint with POAP for 1.1k+ Fools and then token-gated the platform with a handful of NFTs.

Further, I created videos and articles as TMF’s in-house “crypto expert” on

Basic Attention Token, MetaMask, & NFT Minting for 50k+ subscribers globally. This was also included advising and supporting the product teams, C-Suite, and advisors in building web3 infra.

Tech Stack: TypeScript, Next.js, Node.js, AWS, Moralis, POAP, Gnosis Chain, Netlify

As a course author for Udacity, I designed and taught the Beginner Python PCEP™ Certification Prep course — helping learners worldwide gain confidence in core Python programming concepts while preparing for the globally recognized PCEP certification by the Python Institute.

This 7-lesson course blends Python fundamentals with practical project-based learning. From control flow and data structures to exception handling and functional programming, students build real-world skills and finish with an AI-driven data project showcasing their abilities using the Amazon Reviews dataset.

I also brought my experience as an AWS Hero and software founder into the content, adding industry insights and a hands-on, builder-focused approach to mastering Python from the ground up.

Topics Covered:

Variables, Data Types, Control Flow, Functions, Lists, Tuples, Dictionaries, I/O, Modules, Exceptions, OOP, List Comprehensions, Generators, Regex, Functional Programming

Final Project:

“A Data-Driven Approach to AI and Python” — Analyze Amazon.com product reviews data, generate insights, and build a data science pipeline for AI product exploration.