Summary
Oscar Poccohuanca is a Solution Architect with 11 years of experience designing cloud-native, event-driven data platforms and microservices, currently building a data platform on Google Cloud at Intercorp. He blends hands-on engineering in Python, Java, and JavaScript with infrastructure-as-code across GCP, Azure, and AWS, and has led integrations with major ad and CRM ecosystems (Google Ads, TikTok, Salesforce, Criteo). Oscar pioneers agentic frameworks and Generative AI features—using Vector DBs and RAG—to automate complex workflows and surface actionable insights. He enforces technical governance through SOLID principles and design patterns while optimizing for cost, resilience, and automation. An academic background in informatics and applied AI plus early research in ML/NLP give him a practical edge in productionizing machine learning solutions.
10 years of coding experience
12 years of employment as a software developer
Scientific Internship, Scientific Internship at Instituto de Ciências Matemáticas e de Computação (ICMC) - USP
Master's degree, Informática, Master's degree, Informática at Universidad Nacional de San Agustin de Arequipa
Postgrade course, Inteligencia artificial, Postgrade course, Inteligencia artificial at Universidad de las Ciencias Informáticas
Ingenieria de Sistemas, Information systems, Ingenieria de Sistemas, Information systems at Universidad Nacional del Altiplano
English, Portuguese, quechua, Spanish