Summary
Fernando Canteruccio is a software and machine learning engineer with nearly a decade of hands-on experience building production ML pipelines and full-stack systems from Brazil’s Espírito Santo. He founded Megali to deliver bespoke ML and software solutions—ranging from programmatic adtech and logistics optimization to a flight-control system—bringing strong Python, TypeScript, and ML fine-tuning expertise to client problems. At AirGrid he helped build a privacy-first, cookieless programmatic ad platform combining frontend UX, dual backends, BigQuery analytics, and edge ML for real-time ad delivery, contributing to an eventual acquisition. Today at Shortform he designs and implements generative-AI pipelines for transcription, summarization, commentary generation and SEO-driven content, overseeing data collection, curation, and fine-tuning of LLMs (including Gemma3 27B and GPT-4 series). He pairs product-minded engineering with deep NLP/ML tooling know-how and a practical bias for shipping—from dataset design to CI/CD and QA—while often supervising hands-on data teams. Notably, he blends academic engineering roots with entrepreneurial product delivery, repeatedly turning research-grade models into scalable production features.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Electrical Engineering, Bachelor of Engineering - BE, Electrical Engineering at Universidade Federal de Viçosa