Optimized AWS accounts using AWS GuardDuty, AWS CloudTrail. Developed and deployed React Native apps and Django backends for logistics (Scharf) and monitoring/tracking (Alerta Ciudadana) for local government offices. Deployed and migrated web applications to AWS. Created custom integrations with custom services using Python/Flask to create custom dashboards for mining enterprises. Developed RAG tools to create custom designs based on previous knowledge from another tool, using Django, Python, and Pinecone.

Created and built RAGs (on top of OpenAI/Llama2) to automate customer service in enterprises using Python/Django. Improved response time using Pinecone vector database, GPT cache, Rebuff, and AWS tools. Integrated with email (transcribers) and phone (using WebSocket, ElevenLabs, AWS Polly) as secondary channels to connect with our custom LLM. Created models related to NLP/ML to allow prediction for services. Created additional services to understand images (GPT Vision) and videos (using Whisper). Integrated with external APIs to allow LLM to do direct calls on behalf of users. In charge of AWS infrastructure, from 0 to production models in AWS with Terraform, and services like ECS, EKS, Kubernetes. Worked on adoption of security layers as HIPAA, SOC 2 for this architecture.

Implemented middleware (sanitize middleware, auth middleware) for requests using Python/Flask. Worked on tickets related to security issues found in our internal application, on top of AWS stack. Developed a complete set of tests and a pipeline for our internal application, including unit tests and integration tests, using Python/Flask with Pytest, Playwright, and GitHub Actions. Worked in the Lambda layer of our application adding and refactoring functions, using AWS Lambda, Docker, Terraform, S3.

Developed integrations with some providers (SOAP, REST) using API Gateway, Nginx, UWSGI, Django, and Django Rest Framework. Decreased development time by improving automated pipeline using Jenkins, Travis CI, AWS ECS, AWS ECR, CloudFormation, Docker, AWS CloudWatch, and EC2. Used EC2 instances with AWS Call Command to run internal queries. Created an ECS workflow to decrease developer time to run QA with final users. Decreased development time by implementing an internal repository for pip packages that allowed automatic deployment of microservices client packages. Migrated some microservices from Python 2 to Python 3. Maintained Chef recipes.

Developed integrations with some providers (SOAP, REST) using API Gateway, Nginx, UWSGI, Django, and Django Rest Framework. Decreased development time by improving automated pipeline using Jenkins, Travis CI, AWS ECS, AWS ECR, CloudFormation, Docker, AWS CloudWatch, and EC2. Used EC2 instances with AWS Call Command to run internal queries. Created an ECS workflow to decrease developer time to run QA with final users. Decreased development time by implementing an internal repository for pip packages that allowed automatic deployment of microservices client packages. Migrated some microservices from Python 2 to Python 3. Maintained Chef recipes.

Developed an API to connect with external providers that needed to respond in less than 100 ms, using Restana/Node.js. Improved SQL queries (using JSON features in PostgreSQL) and scripts on top of AWS stack. Decreased development time by 30% by implementing an automated pipeline of deployments using AWS ECS, AWS ECR, Terraform, Docker, Ansible, GitLab CI/CD, S3, AWS CloudWatch, AWS ElastiCache, VPCs, Route53, and EC2. Optimized frontend (in Angular) to reduce response time and latency for users by 50%.

Worked directly with providers, project managers, and developers to build, test, and execute products. Performed integrations through API REST, SOAP, and web scraping, aggregating over 150 bus and 800 flight providers to our database. Developed a backend layer (API) that connected 12+ systems and some legacy architecture, allowing all enterprise systems to connect. Used a layered architecture with Python/Flask, serverless, MongoDB, Redis, PostgreSQL, Celery, RabbitMQ, Solr, and ELK Stack, on top of the AWS stack. Generated a B2B feature for our API, which increased search and sales by 200%. Developed an algorithm that combined data from different carriers (buses and flights) so that customers could access combined routes from point A to B via C, which increased market participation and allowed significant cost and time savings for travelers. Conducted workshops about QA/debugging/deployments for the rest of the team, using Selenium tests and Docker for QA. For deployments, worked on the AWS stack. Automated the platform (implemented a DevOps culture) by documenting internal processes and tools.

Built a robust platform, creating a workflow for sales and integration with providers, and automating up to 50% of manual processes of the company, using Python/Django, MySQL, and Redis. Grew business 10x by developing a B2B portal to integrate with external enterprises. Performed integrations with some legacy systems of airlines and buses by designing and implementing an architecture based on federated search. Designed and implemented all web interfaces with particular attention to interaction with clients. Built a CRM for internal use that defined how the support team worked.

Created a reverse auction system for students that solved math exercises based on price and time, using an architecture with Python/Django, MySQL, and Apache Kafka. Led a team of 4 members to define a pipeline of technical work and also define KPIs. Implemented 10+ campaigns for growth hacking by doing SEO, customer discovery, online advertising, social media, email marketing, and some automation in social platforms.