Software engineer specializing in machine learning. Currently building evaluation and threat detection infrastructure for global catastrophic risk monitoring at Sentinel (benchmarking, fine‑tuning, distillation, and data pipelines for large‑scale public‑source analysis). Before this: full-stack engineering across marketplaces, payments, and internal sales tooling.
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Some tricks to detect contamination while building a benchmark
Triangulating training-data contamination in an estimation benchmark with corpus frequency, attestation, and logprob commitment.
Custos — Part 1
Teaching a small encoder to mimic an LLM's triage decision
Evaluating LLM Quantitative Estimation Under Uncertainty
A study on LLM quantitative estimation under uncertainty.
Work Experience
Software Engineer, Machine Learning
Sentinel
2025 - Present
Full Stack Engineer
Trato Hecho
2023 - 2025
Frontend Developer
Central Shop
2022 - 2023
Full Stack Developer
Contapp Digital
2022
Selected Projects
A benchmark for evaluating how good frontier LLMs are at estimating quantities they don't know.
Threat detection system for Sentinel that ingests, triages, scores and clusters public Reddit signals for global catastrophic risk monitoring.
Classified ads and marketplace platform intended to be the Paraguayan equivalent of Craigslist. More than 100k users.
My own attempt at breaking into the e-commerce market in Paraguay.
NBA analytics tool for tracking player hot streaks and performance metrics. Driven by a passion for basketball and its advanced stats community. r/NBAanalytics discussion
Connect
Feel free to contact me at jcambrac@gmail.com