• Optimized websites for SEO, improving efficiency and creating automation to enhance the FTL process.
• Developed custom web applications using React, Django, and Django REST Framework.
• Created serverless web architectures for scalable and cost-effective solutions.
• Supported and added features to the USSSA app, which serves hundreds of thousands of users.
• Implemented record linkage algorithms to connect multiple datasets and enrich user experiences.
• Developed a real-time activity feed service to enhance user engagement.

Technologies/Tools: Python, Django, Django REST Framework, React, AWS, Lambda, API Gateway, S3, Serverless Framework, Redis, PostgreSQL, Record Linkage, SEO Optimization, Docker, Git, GitHub

• Created a serverless AWS Lambda workflow using Step Functions for efficient PDF processing.
• Utilized Langchain, OpenAI, and map-reduce for a content summarization feature.
• Introduced a cost-tracking system using Redis and RDS, supporting the expansion strategy of the company.
• Optimized the codebase to enhance modularity, reusability, and system stability.
• Implemented profiling tools in microservices for performance monitoring, identifying bottlenecks and optimizing the user experience.
• Developed a centralized data warehouse using Snowflake and Fivetran, integrating multiple data sources for enhanced business intelligence and customer insights.
• Implemented complex ETL processes with AWS Glue and Spark to transform data and enhance analytics operations.
• Conducted prompt engineering to support various content generation modes.
• Created Looker Studio reports for analytics in fundraising and user behavior, driving strategic decisions.
• Resolved platform issues using tools like Coralogix, Flower, and Sentry, ensuring high service reliability.

Technologies/Tools: Python, Lambda, Textract, Step Functions, Glue, Athena, S3, Snowflake, Fivetran, Docker, Docker Compose, Redis, RDS, Git, GitHub, Coralogix, Flower, Sentry, Langchain, Looker Studio, FastAPI, Swagger, Celery, OpenAI, OctoML, Anthropich Model, PostgreSQL.

• Developed web scraping scripts using Beautiful Soup, Selenium, and regexes to extract data from multiple websites for data analysis and processing.
• Implemented RESTful APIs and backend services using Django and FastAPI frameworks, facilitating efficient data communication and integration with the front-end.
• Integrated third-party services and APIs, such as Apollo, Zoominfo, and proxycurl, to enrich client CRMs, enhancing data quality and streamlining workflows.
• Developed integrations with LinkedIn and HubSpot, leveraging their APIs to enable seamless data exchange and facilitate targeted marketing campaigns.
• Implemented CI/CD pipelines using GitHub Actions for efficient deployment and continuous integration.
• Utilized web scraping techniques on Panjiva to explore markets and gather valuable data for in-depth market analysis and informed business decisions
• Implemented integration with Mailchimp to automate personalized email communication to clients based on their segmentation.
• Implemented and deployed static websites using HTML, CSS, JavaScript, and React
• Integrated Typeform survey into a web application and utilized Lambda functions to capture user responses and implement customized logic for client segmentation.
• Led collaboration with designers to create impactful brand identities and logos, ensuring a strong visual representation
• Acted as a proactive salesperson, establishing and nurturing client relationships, and effectively showcasing services to drive business growth.
• Monitored client satisfaction, regularly conducting check-ins to identify areas for improvement and ensure enduring partnerships.

Technologies/Tools: Python, Django, AWS, Lambda, API Gateway, S3, RDS, GitHub Actions, React, Beautiful Soup, Selenium, Regex, APIs, HubSpot, Apollo, Typeform, Mailchimp, Pandas, Numpy, UX

• Developed and implemented custom web scrapers using Python and Beautiful Soup to efficiently retrieve real estate data from a variety of platforms, including Vacasa, Le Collectionist, Twiddy, Veeve, Sweet Inn, and many others.
• Implemented data cleaning techniques to remove duplicates and inconsistencies in the scraped data.
• Maintained and updated the scrapers to ensure they continued to function properly as the source websites changed.
• Led a data integration project from conception to completion, merging various sources of information to enrich the CRM.
• Utilized the Airtable API to connect the disparate data sources and import data into the CRM.
• Designed and implemented the backend architecture to handle data transformations and merging from different sources.
• Collaborated closely with stakeholders and UX designers to understand requirements and ensure the system met their needs.
• Designed and developed an internal tool to manage property tags using Python and Django.
• Conducted rigorous testing and debugging of the system to ensure accuracy and stability.
• Provided ongoing support and maintenance of the system, including troubleshooting and updates to ensure continued functionality
• Designed and implemented data models using Django ORM, defining relationships and constraints between database tables.
• Implemented views using Django, defining logic for handling incoming requests and rendering responses.
• Created reusable template components to facilitate development and ensure consistency across the user interface.

Technologies/Tools: Python, Django, AWS, S3, RDS, GitHub Actions, React, Pytest, Beautiful Soup, Selenium, Regex, APIs, SQL, ORM, PostgreSQL, Pandas, Numpy, Shortcut, Scrum, Kanban

• Created AWS cloud architectures for serving machine learning models.
• Trained computer vision models for detecting offensive and obscene images.
• Developed computer vision model using transfer learning for classifying types and models in vehicles.
• Advised analytical teams in their machine learning projects.
• Introduced MLOps practices in Data Sciences teams throughout the bank.

Technologies/Tools: Python, AWS, Quicksight, Athena, Lambda, API Gateway, S3, RDS, Regex, APIs, DynamoDB, PostgreSQL, SQL Server, Oracle, SQL, Sagemaker, Scikit-learn, Keras, Pandas, Numpy, Jupyter Notebook, Scrum, Kanban

• Led my team in creating a modern audit approach using Cloud Computing and Artificial Intelligence.
• Devised and developed automated audit strategies and tools.
• Learned and researched new technologies.
• Audited Databases, RPAS, AWS Cloud and ITGC SOX controls.
• Adapted behavior to work with banks in other countries like: Banistmo in Panama, Agromercantil bank of Guatemala in Guatemala, Agricola bank in El Salvador.
• Trained and advised trainees.

Technologies/Tools: Python, AWS, Quicksight, Athena, Glue, Lambda, API Gateway, S3, RDS, Regex, APIs, PostgreSQL, SQL Server, Oracle, SQL, Sagemaker, Scikit-learn, Keras, Pandas, Numpy, Jupyter Notebook

• Trained people in how to apply Machine Learning in their companies using Python.
• Taught supervised and unsupervised algorithms like: SVM, neural networks, decision trees, random forest, naive bayes, k means, fuzzy c means, PCA, one class SVM and spectral clustering.
• Prepared and made presentations adapted to the professional interest of my students.

Technologies/Tools: Python, SQL, PostgreSQL, Scikit-learn, Keras, Pandas, Numpy, Jupyter Notebook, Scrum, Kanban

• Performed power systems fault simulations and relay settings coordination.
• Developed automation scripts for reducing the time on relay adjustments coordination.

Technologies/Tools: Python, R, DIgSILENT, DPL

• Analyzed the behaviour of the faults and diagnosed if the operation of the protection schemes was good.
• Prescribed better schemes or better parameters, tuning if necessary.
• Devised and developed DigSilent DLPs for finding optimal setting in relays 67N, 21 and 21N

Technologies/Tools: Python, R, DIgSILENT, DPL, PowerBI

• Trained as an outstanding young electrical engineer for one year in order to develop technical abilities in the entire value chain of the electrical power transmission.
• Developed models for predictive maintenance in switchgears and transformers, using crisp and fuzzy logic.
• Analysed faults in the colombian power system, such as high-impedance, multi-circuit, and auto-recloses either successful or during fault.
• Performed power systems fault simulations and relay settings coordination.
• Executed maintenance in high-voltage assets, like transformers, reactors, circuit breakers, switchgears, series and shunt compensations.

Technologies/Tools: Python, R, DIgSILENT, DPL, Scikit-learn

• Created and developed an anomaly detection model for predicting incidents in a bank technology infrastructure, using an ensemble of models.
• Trained unsupervised models, like: fuzzy C-means, one-class SVM and gaussian mixtures.
• Studied cutting edge machine learning research, with the goal of improving the quality of my own research and aid my software implementations.

Technologies/Tools: Python, R, Scikit-learn, Pandas, Numpy, Skfuzzy, Matplotlib, Scrum, Kanban