Data Scientist | Data Engineer | Professor

I build reliable AI and data systems for high-stakes decision environments.

I am Manuel Castiblanco, an AI Engineer and Applied Data Scientist based in Bogota. My work spans NLP, LLM applications, RAG architectures, data engineering, and model evaluation across enterprise, public-sector, and academic contexts.

Professional Impact

Experience highlights

Senior Data Engineer

Stefanini Group (2026 - Present)

Leading data engineering initiatives to improve reliability, accessibility, and governance of analytical data assets for multi-stakeholder teams.

  • Designing robust ETL and transformation workflows.
  • Improving data quality controls and monitoring standards.
  • Supporting scalable decision pipelines with production readiness.

Data Scientist

Defensoria del Pueblo Colombia (2025 - Present)

Building AI-driven electoral intelligence systems combining transformer models, discourse analysis, and network methods for democratic risk monitoring.

  • Deploying large-scale text analytics workflows in Python.
  • Fine-tuning and evaluating LLM-based classification pipelines.
  • Producing structured analytical outputs for institutional use.

Applied AI / NLP

Teleperformance (2024 - 2026)

Designed and deployed NLP and RAG-based assistant systems to improve automation quality, model reliability, and user interaction outcomes.

  • Implemented model evaluation and validation workflows.
  • Optimized retrieval and prompting for LLM performance.
  • Bridged experimentation and production deployment cycles.

Core Stack

Capabilities I work with regularly

AI and NLP

Transformers, LLM systems, RAG pipelines, embeddings, LLaMA

Data Engineering

ETL architecture, SQL, Python, Apache Spark, web scraping

MLOps and Evaluation

Model validation, benchmarking, cloud deployment, Azure, AWS

Teaching and Analytics

Python, R, Power BI, network analysis, social data science

About

Interdisciplinary training for complex decision systems

I hold a Master of Science in Artificial Intelligence, a Bachelor of Science in Political Science, and prior engineering training in electrical and electronics fields. This combination helps me connect computational methods with institutional and social realities.

  • End-to-end ownership from data pipelines to deployed models.
  • Applied NLP, information retrieval, and explainable AI focus.
  • Postgraduate teaching in data science and digital politics.

Academic and Writing

Research outputs and long-form thinking

Academic Work

Publications, teaching, and research collaborations

Structured overview of published work, courses taught, research assistance, and institutional collaboration history.

Blog

Notes on AI systems, policy analytics, and methodology

A dedicated space to publish practical essays on LLM deployment, evaluation strategy, and data-driven institutional decision making.

Profile Links

Professional channels

Use LinkedIn for updates on projects and career milestones, and FLACSO profile for academic affiliation and teaching context.

Contact

Let us design and deploy data products that matter

Available for collaborations in Data Science, Data Engineering, LLM-based solutions, and advanced analytics training.