AI Neural Network Background
    Epoch: 1,247
    Loss: 0.0234
    Accuracy: 94.7%
    Learning Rate: 0.001
    Batch Size: 32
    GPU: Active

    Transforming Ideas Into Intelligent Solutions

    Mitch is a passionate AI engineer with growing experience in machine learning and a proven track record of building end to end AI solutions that solve complex, real-world problems.

    Professional Headshot

    Expertise & Impact

    I have firsthand expertise in designing and scaling systems that are robust, efficient, and tailored to the real-world needs of users.

    Growth Journey

    I joined a sub-20-person startup in 2022 and helped contribute to its 5x team growth and valuation surge to over $700 million within three years.

    Mission & Motivation

    The pace and challenge of this environment multiplied my rate of growth and deepened my motivation to engineer systems that create meaningful, real-world impact.

    Professional Experience

    Machine Learning Engineer

    webAI

    Aug 2025 - Present
    Product EmpathyCustomer Journey MappingScope ManagementResearch and DevelopmentAI OrchestrationSmall Language ModelsPrototype Delivery
    • Helped productize a local RAG system, enabling users to access contextual search and summarization on proprietary data
    • Contributed to a multilingual chatbot in the education sector, enabling private, personalized learning support in a non-English linguistic and cultural context
    • Developed a vision pipeline using SAM, YOLO, and user-defined regions of interest, enabling precise identification and segmentation of objects
    • Designed and developed AI interfaces for various applications in the airline industry

    Full Stack Developer

    webAI

    Mar 2024 - Aug 2025
    PythonSQLiteBunGitlab CI/CDTechnical DocumentationArchitectural Decision RecordsCross Team Collaboration
    • Assumed ownership of a core feature within internal tech stack, driving architectural decisions, establishing repository best practices, and delivering modular, reusable components that improved team productivity and streamlined product development lifecycle
    • Built a developer-facing CLI tool with automated CI/CD and dependency handling
    • Built an internal utility library to centralize shared functions, standardize workflows, and accelerate development velocity across multiple engineering teams

    Frontend Engineer

    webAI

    Aug 2022 - Mar 2024
    TypeScriptPythonReactReduxNodeMongoDBUser Interface DesignState Management Architecture
    • Assumed ownership of core platform, designing and scaling the API layer, frontend state management, and core user interface for non-technical AI workflow development and deployment
    • Designed and implemented on-device training for custom local object detection and image classification models, enhancing user experience and reducing setup time for non-expert users
    • Enhanced full-stack development capabilities with TypeScript and Python

    Recent Contributions

    Computer Vision Training

    Computer Vision Training

    Implemented a comprehensive computer vision training feature for custom local object detection and image classification models. Created an intuitive interface with real-time performance metrics.

    Key Impact
    Implemented computer vision training feature
    Meta Hackathon Co-sponsor

    Meta Hackathon Co-sponsor

    Helped hackers succeed by creating a custom integration of Meta's Llama 4 API into webAI's platform.

    Key Impact
    Created custom integration of Meta's Llama 4 API into webAI's platform
    Local RAG vs Foundational Cloud

    Local RAG vs Foundational Cloud

    Built a side by side comparision interface for comparing OpenAI's latest GPT models and webAI's Retrieval-Augmented Generation system against highly technical airline data.

    Key Impact
    Simplified benchmarking and model comparison
    ACC Hackathon Judge

    ACC Hackathon Judge

    Participated in Austin Community College's hackathon judging various entries aiming to solve real-world challenges with AI in Austin, Texas.

    Key Impact
    Engage with local Austin community to solve real-world challenges with AI
    Computer Vision x Slack / Sinch

    Computer Vision x Slack / Sinch

    Built a modular workflow that connects real-time computer vision insights with Slack and SMS.

    Key Impact
    Integrated real-time computer vision insights into external communication workflows
    AITX Hackathon Speaker

    AITX Hackathon Speaker

    Gave a presentation at AITX on how webAI has uniquely positioned themselves in the market to provide users with privacy-first AI solutions.

    Key Impact
    Shared insights on privacy-first AI with the AI community in Austin, Texas
    Status: Online
    Messages: 3
    Response Time: 0.2s
    Connection: Secure
    Protocol: HTTPS
    Encryption: AES-256

    Let's Build the Future Together

    I'm always excited to collaborate on projects that push the boundaries of what's possible with AI. Whether you're looking for a technical partner, need consultation on AI strategy, or want to discuss the latest developments in machine learning, I'd love to connect.