I'm a senior backend engineer. Currently at Alltrue.ai, I own the backend for an AI safety & compliance product shipped to clients worldwide. I like async systems, dense pipelines, and the kind of monitoring that lets you sleep through on-call.
Before that, I spent five years writing cancer-diagnostics software (my work shows up in papers published in Cell and Nature Scientific Reports), and 2.5 years as a professional Counter-Strike player — captaining rosters for Evil Geniuses, Nouns, and Team Canada.
Gamer + builder, all in one.
AI red-team platform probing customer LLMs against OWASP LLM Top 10 + MITRE ATLAS attack patterns. 3-service redesign, distributed batch workers, async Redis queues with exponential-backoff-&-jitter retry. Shipped 30+ correctness fixes; multilingual coverage.
Web app rendering cancer-diagnostics assay results as clinician-friendly PDFs. Ran in production for labs worldwide.
Profiled and optimized hot paths in production bioinformatics pipelines. Cut average execution time by 35%.
Event-driven platform moving terabytes of genomics data across on-prem + cloud. GUI + API. Shipped alpha at Shah Lab.
Senior backend engineer based in Vancouver. Currently building an LLM pentesting / AI red-team platform at Alltrue.ai — distributed batch pipelines, async Redis queues, retry & race-condition hardening, probing customer models against OWASP LLM Top 10 and MITRE ATLAS attack patterns. Before that, five years shipping bioinformatics software used worldwide in cancer diagnosis. Published contributing author in Cell, primary author in Nature Scientific Reports. Also the part you'll remember: 2.5 years (2022–2025) as a professional Counter-Strike player and team captain for Evil Geniuses, Nouns, and Team Canada. Gamer + builder, all in one.
AI red-team platform probing customer LLMs against OWASP LLM Top 10 + MITRE ATLAS attack patterns. 3-service redesign, distributed batch workers, async Redis queues with exponential-backoff-&-jitter retry. Shipped 30+ correctness fixes; multilingual coverage.
Web application rendering cancer-diagnostics assay results as clinician-friendly PDFs. Ran in production for labs worldwide.
Observability + optimization layer on a production bioinformatics pipeline. -35% execution time end-to-end.
Event-driven pipelines moving terabytes of genomics data across cloud + on-prem. Shipped alpha of a custom data-management platform with GUI + API.
Full match history on HLTV: hltv.org/player/21794/jesscas.