Alfredo Neto Email and Phone Number

- Build new features as product requirements- Maintain existing products and improve their 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- Increased DB performance, analyzing existing queries and the data schema- Integrated external APIs to ingest, transform, and use their Data

- Contributing to the Yjs feature implementation, real-time collaboration;- Contributing to Typescript implementation on existing projects;- Fixing Yjs bugs found by QA and Engineering team;- Analyzing/Improving AWS auto-scaling policy, using CloudFormation;- Analyzing memory usage profile, hunting and fixing memory leaks;

- Build the backend of the app ‘Mão na massa’, using NestJs;- Migrate/Maintain and improve the backend of the company ‘FoodCamp’ System From Elixir + Rest to NestJS + Graphql;- Participate in brainstorm, data modeling, Design Sprint;- Choose the technology used on the backend, databases, and hosting;- Build new features/modules to the company products;- Interview candidates for development role;

- I re-coded the company's fire detection model, generating a 40% increase in the tool's accuracy with progressive growth.- I maintain and add new features in the forest monitoring system, together with the development team, integrating with several external APIs, the detection system and cameras installed in the plantations and forests of the customers.- Re-coded and reactivated the software monitoring system, allowing the planning and development team to have knowledge of performance and be able to develop strategies for improvements.- Developed a software to identify activity in monitoring centers, reducing downtime and unproductive time for operators.- Configure and maintain a total of 11 servers installed between clients and development sites.- I advise trainees to carry out important activities for the evolution and maintenance of systems.

- Test LG`s software for their mobile devices. Black-Box testing methods.- Write feedback test about the tested device and softwares- Benchmark of new tests.

-Collected MRI (Magnetic Resonance Images) from partners hospitals.-Analyse and Edit MRI Images - Pre-processing step for ML Training-Trained the algorithm handed by the professor responsible for the research.-Build a feedback chart about the results testing the AI-Present the result to the professor, receive feedback , readjust metrics and restart the processes.

- Format, install and maintain all hardware for the company- Give support for the director with software and hardware- Participate in all events made by the company making sure that everything worked properly.- Built side infrastructures when constructions happened and personal needed to relocate.- Plan, request and monitor, extra hardware if needed.- Collaborate with the network team to provide an perfect internet service.