2025 · Medellín, CO
Your talk title in English
Nombre del evento / meetup
Short description of what the talk covered and who it was for.
whoami
Darkanita
Technical Educator · AI/ML · Cloud & Data
I build what I teach.
Instructor and technical educator at IU Digital de Antioquia. I design and deliver courses on Machine Learning, AI, data analytics, DevOps and agents — from low-code to pro-code. Creator of Waddled.org, a free and open educational platform.
darkanita@darkanita.dev
$ cat stack.txt
Python · TypeScript · Azure
Databricks · Hugging Face
LLMs · Agents · MLOps
$ location
Medellín, Colombia
$ teach --hands-on
experience
Experience
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Instructor / Technical Educator
2023 — PresenteIU Digital de Antioquia
I design and deliver courses on ML/AI, analytics, DevOps and agent development. "Agentes Zero to Hero" bootcamp and an automated credit-transfer system with Google Apps Script + Gemini.
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Instructor
2024 — PresenteBootcamp Sapiencia–EAFIT (Datos y Analítica)
Data and analytics training with real business cases and a progressive difficulty approach.
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Technical Enablement / PSA
2023 — PresenteEcosistema Partner de Microsoft Azure
Technical enablement sessions for partners: Databricks, Unity Catalog, Microsoft Fabric, Azure architectures.
talks
Talks & speaking
2025 · Online
Another talk
Nombre del evento
Replace with your real talks — add slides and video when available.
courses
Courses & bootcamps
low-code → pro-code 2026
Agents Zero to Hero
IU Digital
10-session bootcamp using free tools: Google AI Studio, Flowise, Colab, Gemini and OpenAI API, up to Python agents.
pro-code 2025
Machine Learning & AI
IU Digital
11-session course: neural networks, computer vision (CLIP, YOLO, GPT-4o Vision) and automation with Make.com.
pro-code 2025
MLOps on Databricks
IU Digital
MLOps curriculum: Spark/Delta Lake, MLflow, end-to-end churn prediction, AutoML and Feature Store.
git remote -v
Featured repositories
Pulled live from GitHub
/ MLOps_wsPycon2023
MLOps Workshop using Weights and Bias (Wandb) and Github Actions.
Python ★ 50
/ MLOps-Dummies-DVC
—
HTML ★ 17
/ GenAIOps_Pycon2025
Chatbot interno que responde preguntas sobre documentación usando un modelo generativo (LLM) alojado y RAG con LlamaIndex. Implementa principios básicos de GenAIOps como recuperación contextual, logging y orquestación de prompts.
Python ★ 9
/ MLCourse
—
Jupyter Notebook ★ 7
/ LLMOps_wsPycon2024
—
Python ★ 6
/ GenAIOps_Databricks
Pipeline RAG sobre Databricks que usa documentos PDF, embeddings de Databricks y FAISS para recuperación semántica. LangChain orquesta la generación de respuestas y MLflow registra el modelo, ideal para copilotos empresariales con datos privados.
Jupyter Notebook ★ 5
ls blog/
Blog & tutorials
Coming soon. Meanwhile, find content on Waddled.
waddled.org →