William Kramer Scariot Email & Phone Number

- Implemented backend processes that handle Jira Api requests pulling over 50 thousand Jira issues per customer for post processing and data analysis.- Created a process to summarize comments from jira conversations using LLM's models to extract meaninful information.- Implemented performant database queries and views that overcame technical limitations of handling multi level depth hierarchies using ORMs.Stack: Python, Flask, Postgres, React, SQL, AWS EC2, Event Bridge.

United States

Our department manages the suite of internal-facing applications that drive essential operations across Supply Chain, Finance, and other critical business areas. With multiple dedicated teams focused on different applications, we leverage a robust tech stack to create high-performance solutions.Key technologies:- Frontend: React with Redux-Saga for efficient state management and responsive user interfaces.- Backend: Node.js and Python, building scalable and performant APIs and services.- Database: DynamoDB, enabling fast and reliable data access.- Cloud Services: AWS Amplify and AWS Lambda for seamless deployment, scalability, and integration with the AWS ecosystem.

Florianópolis, Santa Catarina, Brazil

Developed a system to monitor Simcard usage and optimize cost savings and connection availability.

Florianópolis, Brazil

• Build a database with data from all companies in Brazil coming from multiple sources resulting in more than 100Gb of data.• Developed a recommendation algorithm to suggest leads with the highest conversion probability.• Build an internal platform to admin our costumers, refine, and clean our data.

Florianópolis E Região, Brasil

• Developed an algorithm to clean data from a human resources database and extract performance indicators of employees and workplaces.• Worked with fingerprint image processing to enhance the performance of the object recognition algorithm.

Florianópolis E Região, Brasil

• Leader of the Machine Vision Division in two projects, both related to building a system to inspect defects on electric motor in production inside the factory.• Developed a Machine Vision System (MVS) that was able to detect the most significant defects on electric motor.

Asan, Chungcheong Do Sul, Coréia Do Sul

• Summer intern.• Visual Light Communication protocol review.

Ufsc

• Group Member.• Various research activities.• Organization of academic events for graduation.• Volunteer work.

Florianópolis E Região, Brasil

• Biological signal acquisition and processing.• Prototyping and testing of a ultra-low-power electric stimulator.