Micheal Lanham is a tech author and written books on XR, audio design, deep learning, reinforcement learning, genetic algorithms, AI Agents, and AI filmmaking.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI-Agent-Workflows
April 27, 2025 – Present
This repository is for the book - Build a Deep Research Agent from Scratch (working title)
View ProjectNexus
June 7, 2024 – July 10, 2024
AI Agent Nexus is an open-source platform for developing, testing, and hosting AI Agents, built with Streamlit and Gradio. It offers a user-friendly chat interface and focuses on teaching core concepts of building full-featured AI agents. The platform supports multipl AI Agent and assistant patters, and complements the book "AI Agents In Action."
View ProjectGPTAssistantsPlayground
May 16, 2024 – February 15, 2025
GPTAssistantsPlayground — GitHub repository
View ProjectGPT-Agents
November 19, 2023 – May 25, 2025
Repository for the book GPT-Agents, published by Manning Publications
View ProjectEvolutionaryDeepLearning
October 24, 2021 – July 16, 2022
Code and notebook repository for the book Evolutionary Deep Learning by Micheal Lanham
View ProjectGenReality
September 29, 2020 – April 20, 2021
Repository for book Generating Reality source colabs.
View ProjectPAIGCP
July 26, 2020 – August 4, 2020
Course content for Practical AI on the Google Cloud Platform
View ProjectTensorFlow_Certification
May 5, 2020 – June 19, 2020
Repository for resources having to do with TensorFlow 2.0 Certification
View ProjectPractical_AI_on_GCP
December 8, 2019 – August 16, 2020
Practical_AI_on_GCP — GitHub repository
View ProjectHands-On-Deep-Learning-for-Games
October 30, 2018 – January 30, 2023
Hands-On-Deep-Learning-for-Games — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on AI/ML, which aligns with a Data Scientist role. However, the projects are predominantly personal and related to book repositories, which might indicate a more academic or research-oriented profile rather than industry-specific product development. The lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.