Artificial Intelligence Data Science Community Scientific Computing

Structured Learning: AI-Powered Platform That Transforms Academic Papers into Interactive Learning Experiences

FORMAT: TalkLEVEL: Intermediate LANGUAGE: Spanish

Structured Learning is a platform that turns a research paper into a complete learning module—chapter-by-chapter explanations, incremental executable code, RAG chat, FSRS spaced-repetition flashcards, equation derivations, and a knowledge graph in Neo4j. This talk covers the product, the engineering of an agentic workflow pipeline that takes a GitHub issue to a merged PR with isolated worktrees, auto-patching after failed review, and GitHub as the agents' API, and how it runs on AWS with LocalStack for dev-prod parity. Agents don't replace engineers—they replace the glue between engineers and the boring 80% of the SDLC—and that's where compound returns live.

Speaker

Cristhian Jesid Garcia Solarte

Senior Data Engineer @ Provectus

Machine Learning Engineer and Data Engineer with a background in Astronomy and Astrophysics and over 5 years of experience designing, building, and deploying scalable data pipelines, ML systems, and Big Data solutions on AWS and Databricks. I specialize in building end-to-end machine learning pipelines, RAG systems, and agentic AI workflows, as well as optimizing big data processes using Apache Spark, SQL/NoSQL data modeling, and cloud-native architectures.

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