Matthew Kindy is a Staff Software Engineer in Austin with 12 years of experience building secure, data-driven systems across startups and research settings. He has shipped production platforms in domains ranging from secure voting and legaltech to blockchain clients, smart contracts, and automated vulnerability detection, combining full-stack, platform, and R&D work. Matthew blends machine learning (NLP, GNNs) and static analysis experience—having prototyped DL-based vulnerability detectors and engineered graph-based training pipelines—with pragmatic cloud and event-driven architectures (AWS, Kafka, Kubernetes). He mentors and leads teams, favors early-stage environments to learn business mechanics, and has a track record of turning security research into production products (e.g., Praetorian’s Diana platform and Topl protocol contributions). An often-overlooked strength is his cross-disciplinary fluency: from low-level cryptographic voting features to UX-driven mobile payments—helping bridge research, security, and product delivery.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Arts (B.A.), Computational and Applied Mathematics, Senior, Bachelor of Arts (B.A.), Computational and Applied Mathematics, Senior at Rice University
I.B. Diploma, International Baccalaureate, I.B. Diploma, International Baccalaureate at Spruce Creek High School
Non-Degree Seeking, Non-Degree Seeking at Embry-Riddle Aeronautical University
Contributions:4 PRs, 53 pushes, 1 branch in 1 year 7 months
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