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Lane Hale

Software Developer → NLP & AI | 27+ Years High-Performance Transaction Systems

PyTorch

Hugging Face

C++

Java

z/TPF Assembler

Available

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About

27-year veteran of airline reservation systems (Sabre, Travelport, Galileo) transitioning to NLP and AI. Recently completed PyTorch and Hugging Face courses (2025) with live projects achieving 97% accuracy on vision models and 85%+ intent accuracy on a flight-assistant chatbot. Passionate about applying Python, C++, Java, and decades of high-performance, mission-critical application development experience to real-world AI challenges.

Featured Projects

Flight Assistant Chatbot — GitHub | Live Demo
BERT-based chatbot with FlightAware + Expedia API integration — 1400+ queries, 85% real-world intent accuracy.

Food Vision Mini — GitHub | Live Demo
EfficientNetB2 & ViT-B/16 on Food101 → 97% accuracy.

C++ LLA → ECEF Conversion — GitHub
Precise coordinate math with WGS84 ellipsoid.

DevOps Video Redaction — GitHub
Docker-Compose + ZeroMQ + OpenCV real-time frame redaction.

Core Skills

Python • PyTorch • Hugging Face • C++ • Java • z/TPF Assembler • Prolog • Linux • Docker • Git • REST APIs • CI/CD • Transaction Systems • NLP • MLOps