My Profile

My profile and socials.
Version v0.0.2
Updated
Author Tiernan Lindauer License MIT

My Profile

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

Professional Resume

Professional Experience

  • Blue Origin – Aerospace Software Engineer (May 2026 – Aug 2026, Kent, WA)
    Developed proprietary ML solutions for advanced concepts at Blue Origin.
  • Brokk, Inc. – Software Programmer (Sep 2025 – Apr 2026, Remote)
    Synced Brokk's unique AI code editor interface with SWEBench-Live and programmed the desktop application.
  • The MITRE Corporation – GNC Systems Engineering Intern (May 2025 – Sep 2025, Huntsville, AL)
    Built a novel Next-Gen Interceptor (NGI) interception technique, enabling battlespace expansion via thrust vectoring and machine learning algorithms, from scratch in MATLAB. Received "exceeded expectations" performance review.
  • LindauerAI, LLC. – Founder & Chief Engineer (Jan 2024 – Present, Austin, TX)
    Founded an AI edtech platform integrating Gyro (AI Socratic tutor) & CA (Classroom Analyzer) using LRAG technology for cited responses.
  • DataStax, Inc. – Machine-Learning Intern (Jun 2024 – Aug 2024, Austin, TX)
    Built a GPU-accelerated product-quantization vector-search system with CUDA, achieving up to 72× speed-ups for AstraDB.
  • DataStax, Inc. – Machine-Learning Intern (Jun 2023 – Aug 2023, Austin, TX)
    Contributed to vector-search R&D, built companywide AI NoSQL assistant, and evaluated the FINGER algorithm.

Education

Texas A&M University – B.S. Computer Science & B.S. Physics (Dual Degree), GPA 3.84, 142 Credit Hours Completed
Graduation: 2025/2027 • Brown Scholar (full ride) • Engineering Honors • National Merit Scholar • $103,500 scholarships • 1540 SAT, 35 ACT

Patents

  • Reproductive Training Architecture for Machine Learning (US20240320487A1, Aug 2022 – Aug 2023) – Novel RL architecture with dynamic pruning. 29% reduction in training time for equivalent accuracy. Available to view on Google Patents.
  • System for Machine-Assisted Educational Interaction (US 63/569,514, Oct 2023 – Mar 2024) – Introduces LRAG for contextual RAG retrieval. Outperforms 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 ~100 k photos with CLIP & LanceDB embeddings.
  • A Compendium of Practical Wisdom (2025) – Authored & self-published philosophy book. Amazon link.

Activities

  • TAMU Ballroom Dance – Event Coordinator (Feb 2025 – Present). Coordinated socials, dances, and managed instructors' contracts.
  • TAMU RoboMasters – Computer-Vision team member (Aug 2023 – May 2024). Designed CV pipeline code for stereo vision and monovision approaches.
  • Undergraduate Research – Co-researcher with Prof. Shell on DFA/POMDP planning (Aug 2023 – May 2024). Expanded on "Planning To Chronicle" paper for intelligent robotic planning.

Technical Skills

Python • C++ • Java • MATLAB • PyTorch • PostgreSQL • GCP • Flask • Docker • BigQuery • Cloud Run • LLMs • Artificial Intelligence • Retrieval-Augmented Generation • Reinforcement Learning • Vector Search • Software Engineering • 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 Many of my commits are private due to LindauerAI.