Connor Tess
@connortess
I'm a senior software engineer and cyber data scientist focused on scalable systems and detection.
What I'm looking for
I am a senior software engineer and cyber data scientist with a track record of designing and delivering production systems that improve performance and scalability. I write maintainable, efficient code and lead re-architecture efforts to meet demanding operational needs.
At Centripetal I rewrote a device management application from Clojure to C++ to improve performance, scalability, and maintainability, and I re-architected an analysis pipeline to handle billions of logs daily. I have built fast REST services, event-driven alert systems, and backend systems for monitoring and upgrading device software.
I have led teams and projects from whiteboard concepts to production, managing infrastructure, services, and team members while mentoring engineers in parallel and concurrent programming and best practices. My background includes research roles where I applied machine learning to summarization and medical imaging problems.
I hold multiple patents related to homoglyphic domain detection and generation, and I’m completing a Master of Science in Computer Science. I seek roles where I can build scalable, secure systems, lead technical teams, and deliver measurable operational impact.
Experience
Work history, roles, and key accomplishments
Data Science / Data Analytics Intern
MITRE
May 2020 - Dec 2020 (7 months)
Researched multi-document summarization using transfer learning of large language models and executed neural topic modeling experiments to analyze hyperparameter effects.
Education
Degrees, certifications, and relevant coursework
University of New Hampshire
Master of Science, Computer Science
2021 -
Master of Science in Computer Science candidate, expected completion September 2025.
University of New Hampshire
Bachelor of Science, Analytics & Data Science
2017 - 2020
Activities and societies: Research Assistant (Jan–Dec 2020): developed neural network for identifying breast cancer cells and created data processing pipeline to clean and organize data.
Completed Bachelor of Science in Analytics & Data Science in December 2020, including research developing a neural network to identify breast cancer cells.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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