I'm a FullStack/ML developer working for about 5 years.
I'm currently working with Data Analysts, computer vision, and Artificial Intelligence, using Python for development.
I have knowledge of IoT, Electronics, sensors, actuators, manipulators. I'm hungry for knowledge and I keep improving whenever I have time to. I have good knowledge of TDD, OOP, Python, JavaScript, Angular 8, Linux, MongoDB, GIT, C, C++.
Axis`s vision is to reduce the complexity of getting information about important events around the world, aggregating news, regulations, and important actors
to be used for strategic steps on companies and Governments
⇢ Build new features as product requirements
⇢ Maintain existing products and improve it's performance
⇢ Trained LLMs, and integrated them into different parts of the product pipeline
⇢ Build the First version of the APP's Graph network viewer, and migrated old data to neo4j DB
⇢ Helped increase DB performance, analyzing existing queries and the data schema
⇢ Integrated external APIs to ingest, transform, and use their Data
Tech Stack: react, javascript, python, openai, embedding, nodejs, rabitmq, redis postgres, neo4j, Kubernetes, LLMs
Calendly vision is to make it easier for their client the whole process around meetings, from scheduling to follow-up.
⇢ Contributed to product automation;
⇢ Contributed to parts of the backend and frontend application
Tech Stack: react, JavaScript, ruby on rails
Hugo consolidates all meetings' important features in one place. Take your notes, prepare for upcoming
meetings, create tasks and more, with +20 integrations.
⇢ Contributed to the Yjs feature implementation, real time collaboration;
⇢ Contributing to Typescript implementation on existing projects;
⇢ Fixing Yjs/backend bugs found by the QA and Engineering team;
⇢ Analyzing/Improving AWS auto-scaling policy, using CloudFormation;
⇢ Analyzing memory usage profile, hunting and fixing memory leaks;
⇢ Elaborated a dashboard to watch KPIs, and act upon results
⇢ Changed a key part of the algorithm to use tokenizers and improve it performance
near 500x
Tech Stack: Nodejs, react, JavaScript, html, css, CloudWatch, CloudFormation, firebase, API, typescript, Yjs, AWS.
Suflex is a startup focused on helping food companies, and autonomous people thrive with organization and process control.
⇢ Build the backend for the company's software, using NodeJs with NestJs;
⇢ Migrate/Maintain and improve the backend of the company ‘FoodCamp’ System From Elixir + Rest to NestJS + Graphql;
⇢ Responsible for the Data modeling, making sure the data was compliance with the requirements
⇢ Choose the technology used on the backend, databases, and hosting;
⇢ Build new features/modules to the Foodcamp product;
⇢ Interview candidates for development roles;
⇢ Bi-Weekly share knowledge and review software architecture with the team
⇢ Migrated Infra to Kubernetes on AWS, sharing knowledge with the team for maintenance
⇢ Initiated AI integrations
Tech Stack: Nodejs, nestjs, python, react, JavaScript, html, css, mongo-atlas, postgres, API, Swagger, graphql, typescript, docker
Developed the Python Boilerplate project for all future projects, set the rules and patterns for development and tests;
⇢ Build the initial Database Model for the FrostSignature project and build the backend with python and fastAPI
⇢ Ensured Typing and test coverages on the project, for better maintainability
⇢ Refactored legacy projects removing unused code and building blocks of codes reusable across all projects.
⇢ Participated in History and Task elaboration, improved history/tasks with technical details.
⇢ Guided and shared knowledge with new developers
Tech Stack: Python, fastAPI, react, JavaScript, html, CSS, mongo-atlas, Postgres, API, Swagger, typescript, docker, Azure
⇢ Participate at the built of modules for the company’s mobile app using React-Native;
⇢ Adjusted backend code when needed to best serve the mobile app;
⇢ Participate on brainstorm about the product;
⇢ Gave insights about the UI/UX designs, to better perform for client usage.
⇢ Integrate with third-party libs and API’s
Tech Stack: Nodejs, Nestjs, React-Native, Javascript, Postgres, API, Graphql, Typescript, Stripe
Aton Engenharia is an engineering company active since 1988 in the telecom engineering field and surveillance.
Manage the internal web infrastructure. Develop and upgrade all detection models using Deep Learning and Computer Vision.
⇢ Responsible for the A.I. accuracy improvement from 25% to 80+%;
⇢ Identified bugs and issues within system and applied troubleshooting
⇢ Resolved malfunctions with systems and programs through troubleshooting.
⇢ Applied knowledge of data modeling and statistical analysis to note trends and draw conclusions
⇢ Developed flowcharts and diagrams to describe and lay out logical operational steps.
⇢ Organized system infrastructure documentation and operating procedures, strengthening controls and enhancing overall performance.
⇢ Planned and conceived computer systems using information engineering, data modeling and structured analysis.
⇢ Reviewed performance benchmarks and established metrics for future tracking.
⇢ Collaborated closely with upper management to drive strategy through development and implementation of new processes.
⇢ Evaluated and adopted new technologies to address changing industry needs.
⇢ Refactored/Removed Legacy code to improve maintainability and overall performance on internal WebApplication and Computer Vision Software.
⇢ Interview candidates for internship/developer role;
Tech Stack: Python, C, C++, OpenCV, Tensorflow, Keras, Jadejs, Angular, Nodejs, Javascript, CSS, Mongodb, MySQL
Brisa is an active Quality Analysis company that develops and tests softwares for LG Mobile Devices.
⇢ Identified bugs and issues within the system and applied troubleshooting techniques for mitigation purposes.
⇢ Reviewed all test cases and test scripts for quality and identified additional areas to review.
⇢ Attended meetings with quality assurance, developers and project managers to assess scope and sequence of projects.
⇢ Reviewed standard product applications to identify part characteristics relevant to real-world applications in preparation for test design.
⇢ Input test results to relational database management software for use in metadata compilation and study and consultation in future test design.