Summary
Daniel Manchester is a seasoned software engineer with 12 years of experience building and supporting production systems for a global user base, currently focused on NLP systems at Leidos. He brings deep hands-on expertise in machine translation, transliteration, OCR, and transcription, paired with prior engineering work at Lockheed Martin that informs his rigorous approach to reliability and security. Comfortable with geospatial and aviation data, he solves hard problems across both application and infrastructure layers while keeping operational stability front and center. A clear communicator and open-source developer, he combines technical depth with strong documentation and collaboration skills. Trained in mechanical engineering and German studies at Rice University, he blends analytical rigor with a cross-cultural perspective that aids multilingual NLP efforts.
12 years of coding experience
10 years of employment as a software developer
B.S., Mechanical Engineering, B.S., Mechanical Engineering at Rice University
German