My Profile

Experience, projects, education, and contact information.

Versionv0.0.3 Updated AuthorTiernan Lindauer LicenseMIT

My Profile

The always-up-to-date, web-friendly version of my resume.

Professional Resume

Professional Experience

Chief Technology Officer May 2026 – Present
Lobe · College Station, TX
  • Co-founded Lobe and built its AI platform end to end, launching at four paying senior-living communities across two operators.
  • Built custom AI agents across chat, voice, SMS, and phone, with CRM integrations for prospect qualification, tour scheduling, and follow-up.
  • Created a self-improving machine-learning system that tests agent strategies and carries successful approaches across communities.
  • Won $25,000 (third out of 529 teams) in a national entrepreneurship competition.
Aerospace Software Intern, Starbridge Team May 2026 – Aug 2026
Blue Origin · Kent, WA · Advanced Concepts Engineering
  • Developed discrete-event re-entry simulation software for the Starbridge aerobrake platform.
  • Developed in-house AI automation for CAD and PLM workflows.
Software Programmer Sep 2025 – Apr 2026
Brokk, Inc. · Remote

Developed an AI-powered Java desktop application, implemented AI code-editor features, and set up and conducted extensive AI benchmarking.

GNC Systems Engineering Intern May 2025 – Sep 2025
The MITRE Corporation · Huntsville, AL

Built MATLAB analysis tooling for an advanced aerospace guidance, navigation, and control program. Received an “exceeded expectations” review and a part-time employment offer.

Founder & Chief Engineer Jan 2024 – Dec 2025
LindauerAI, LLC · Austin, TX

Founded and led development of Gyro, an AI Socratic tutor for K–12 students, and CA, an AI classroom analyzer for teacher insights. Built with Python, Next.js, Postgres, and AstraDB.

Machine-Learning Intern Jun 2024 – Aug 2024
DataStax, Inc. · Austin, TX

Designed a GPU-accelerated product-quantization vector-search system with CUDA, achieving up to 72× speed improvements and lower latency for AstraDB.

Machine-Learning Intern Jun 2023 – Aug 2023
DataStax, Inc. · Austin, TX

Contributed to vector-database enhancements, developed a company-wide AI NoSQL assistant, and implemented and tested the FINGER algorithm.

Education

Texas A&M University
B.S. Computer Science & B.S. Physics (dual degree) · GPA 3.84 · 148 credit hours completed
Brown Scholar (full ride) Engineering Honors National Merit Scholar $103,500 scholarships 1540 SAT 35 ACT

Relevant coursework: Differential Equations, Linear Algebra, Modern Physics, Software Engineering, Advanced Mechanics, Advanced Electricity & Magnetism, and Quantum Mechanics.

Patents

  • Reproductive Training Architecture for Machine Learning

    Created a Python-based reinforcement-learning architecture with dynamic pruning, reducing training time by 29% for equivalent accuracy. View on Google Patents.

  • System for Machine-Assisted Educational Interaction

    Personalized learning system using tailored questions and user resources. Its contextual retrieval method outperformed GPT models by 3–7% on the CEBA educational benchmark.

Selected Projects

  • Kinect-Based Terrain Tracker 2017

    Real-time floor detection in C++ using Xbox One Kinect depth.

  • Semantic Photo Manager 2023

    Local-first app indexing ~100k photos with CLIP & LanceDB embeddings.

  • A Compendium of Practical Wisdom 2025

    Authored & self-published philosophy book. Amazon link.

  • 4D Projection: Rendering 4D Mesh Slices in 3D 2024

    Built a Python and linear-algebra tool for rendering skewed four-dimensional mesh slices in 3D.

  • 3D Chess 2022

    Co-developed a three-dimensional chess game, including backend move logic, hints, and local gameplay. Play the game.

Activities

  • TAMU Ballroom Dance Event Coordinator

    Coordinated social events, dances, and instructor contracts for club activities serving 20+ members.

  • TAMU RoboMasters Computer vision team member

    Collaborated on stereo-depth and monovision computer-vision pipelines for a competitive robotics team.

  • Undergraduate Research Researcher

    Studied event-policy construction from narrative scenarios with Professor D. Shell and optimized DFA/POMDP algorithms for robotic planning and cost efficiency.

  • Ham Radio Operator Extra class

    Call sign AG5QG.

Technical Skills

Python C++ Java MATLAB PyTorch Project Chrono PostgreSQL Next.js Flask Docker Cloud Run LLMs Retrieval-Augmented Generation Reinforcement Learning Vector Search Motion Planning Systems Engineering Guidance, Navigation & Control Physics-based Modeling Model-based Systems Engineering

Other Organizations

Get In Touch

LinkedIn: Tiernan Lindauer Note: I do not usually respond to cold connects.

GitHub: github.com/T-Lind

Email: