Summary
Khalil Carsten is an AI engineer and data scientist with a decade of experience building production-grade ML systems that turn large, messy data into decision-making tools for banks, governments, and enterprises. At Trillia he architects automated Agent Services that perform high-stakes compliance and reputational risk analyses for over 100 high-ticket clients, and previously at Neoway he refactored AI infrastructure to increase delivery capacity 500x while leading large annotation efforts. His background in software engineering includes designing scalable pipelines for terabytes of satellite imagery, PostgreSQL-backed geospatial indexing for 100k+ farms, and containerized ETL systems for government data. Holding a Computer Science bachelor’s from UnB and an MBA in Data Science from USP, he blends deep technical craftsmanship in scalable ML and neural networks with strategic product thinking. Not immediately obvious: he moves fluidly between low-level engineering (Python libraries, Kafka pipelines) and high-impact client-facing analytics, making complex models operational and actionable.
10 years of coding experience
6 years of employment as a software developer
Master of Business Administration - MBA, Ciencia de dados, Master of Business Administration - MBA, Ciencia de dados at USP - Universidade de São Paulo
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidade de Brasília