• Delivering data warehouse and ETL solutions as part of an Agile team using advanced ML techniques to improve performance and processes.

• Helping build and improve infrastructure, application, and performance development and ensuring tight security including data encryption, security groups, and environment scanning.

• Ensuring high-quality deliverables and implementing DevOps and security best practices in fast-paced environments.

• Building pipelines with transformation/aggregation phases using PySpark and working with Databricks for collaborative analytics.

• Supervising and managing a team of 30+ business analysts, including 5+ team leads, ensuring output targets are met and guidelines followed.

• Identifying training needs, conducting sessions, and ensuring high-quality training datasets.

• Performing evaluations and implementing improvement plans.

• Conducting regular QA checks, identifying process gaps, and improving workflows to enhance quality.

• Overseeing daily operations, ensuring timely, within-budget project delivery.

• Managing resources and monitoring performance metrics.

Wrote solutions to advanced math problems to be fed into an LLM model.

• Evaluated model responses.

• Worked on prompt engineering.

• Built applications using OpenAI’s GPT models for chat and RAG in Flask.

• Created API for collecting and labelling visual assets from ad platforms such as Google Ads, Meta, TikTok.

• Worked on CI/CD processes using GitHub Actions and Bitbucket Pipelines to automate testing/deployment for APIs and data pipelines.

• Containerized apps with Docker Compose for local testing and deployment to AWS EC2.

• Integrated PyTest into CI workflows for Python services, ensuring code reliability.

• Deployed serverless apps via Lambda/API Gateway.

• Ensured robustness by writing unit/integration tests (PyTest) and monitoring performance with CloudWatch metrics.

• Worked for an NFT startup company and created an algorithmic trading strategy Flask web app.

• Developed a credit risk model for NFTs using Python and Flask among other technologies and libraries.

• Gathered data from primary or secondary data sources and maintained databases/data systems.

• Worked on some pragmatic prevention guidelines regarding SARS-CoV-2 and COVID-19 in Latin-America inspired by Mixed Machine Learning Techniques and Artificial Mathematical Intelligence.

• Used ML tools and Python to set up a sentiment analysis classifier of tweets with the TensorFlow module.

• Used ML tools and Python to set up a Long-Short-Term Memory Neural Network with the TensorFlow module to forecast the Colombian coffee price.

• Published numerous research papers including statistical mechanics in the portfolio optimization with Kusuoka’s representation and conceptual computation in artificial mathematical intelligence as a paradigm-shifting technique in physics and mathematics.

• Reviewed methods and teaching materials and gave recommendations for improvement.

• Worked on research, fieldwork, investigations, and writing up reports.

• Conducted research, prepared new materials, and read scientific papers, deriving new data-driven algorithms and creating computational models.

• Contributed to the development of research documentation for publications, presentations, and applications.

• Worked on creating new concepts, techniques, and standards.

• Fine-tuned models on code generation, logical reasoning, and domain-specific Q&A.