Jonathan Dambros

Profile

Engineering Manager & Researcher with expertise in agentic systems, LLM evaluation, and industrial AI. Ph.D. in Chemical Engineering with 10+ years in Python, process monitoring, and optimization. Experienced leading cross-functional teams and delivering production-grade AI frameworks with measurable impact.

Experience

Engineering Manager — LLM Evaluation, Turing2023 – Present

Lead a team of 30+ reviewers evaluating LLM outputs with calibrated rubrics.
Designed evaluation frameworks and reviewer workflows for reliability and consistency.
Managed multiple projects ensuring model quality and robustness.

Postdoctoral Researcher, UFRGS — GIMSCOP2019 – Present

Developed Python libraries (DigitalTwin, Kalman) in collaboration with Petrobras.
Researched and deployed monitoring and diagnostics systems in process industries.
Published peer-reviewed work on control-loop performance monitoring and optimization.

Team Lead (Self-employed), Latos2020 – 2023

Built data-driven solutions for manufacturing and process industries.
Developed and deployed “Heron,” a web platform for data science workflows.
Integrated multi-source pipelines with visualization in Grafana, Power BI, Tableau.

Selected Projects

awesome-industrial-datasets — Curated 200+ starred GitHub repository for industrial datasets.
PlantPilot — Conversational AI copilot for process plants using RAG and Gradio UI.
DigitalTwin — Python library for plant monitoring (CPM, Kalman), deployed in Petrobras collaborations.

Education

Postdoctoral Researcher — Chemical Engineering, UFRGS 2019 – Present

Ph.D. — Chemical Engineering, UFRGS 2016 – 2019

Visiting Researcher — Artificial Intelligence Group, University of Kaiserslautern, Germany 2018

M.Sc. — Chemical Engineering, UFRGS 2015 – 2016

B.Sc. — Chemical Engineering, FURG 2010 – 2014

Awards

Top Graduate, Chemical Engineering (2014)
International Challenge Winner — Computer Vision for Scrap Inspection (2019)
Best Industry 4.0 Application — National Prize (2021)