Gabriel Vasconcelos
Development
Distrito Federal, Brazil
Skills
Python
About
Gabriel Vasoncelos's skills align with Programmers (Information and Communication Technology). Gabriel also has skills associated with System Developers and Analysts (Information and Communication Technology). Gabriel Vasoncelos appears to be a low-to-mid level candidate, with 4 years of experience.
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Work Experience
Software Engineer
Prediktive
February 2023 - Present
- Engineered and maintained the Valuation/Classification APIs crucial for powering company-wide systems with data. Also developed features for Premium Sales and Fleet Management products. • Documented system architecture and created diagrams/flow charts, ensuring clarity for use cases. • Improved API's performance by implementing Redis-based cache, resulting in 60% reduction in Pipeline execution times. • Added Observability to our APIs using Sentry and OpenTelemetry, enabling real-time monitoring with Lookerstudio and Sentry. • Improved code quality by adding Unit/Integration tests and establishing a canary testing mechanism for enhanced reliability.
Software Engineer
South System
December 2021 - February 2023
- • Engineered financial solutions based on microservices to provide an End-to-End Banking as a Service product. • Provided on-site support during the initial stages of the Porto Seguro Bank launch accompanied by the Central Bank. • Mitigated high-impact bugs within transaction pipelines averting significant capital loss to the company. • Created multiple accounting, regulatory and administrative reports from both BigQuery and an internal Reports service. Integrated these reports into an ERP for accessibility. • Conducted training for new developers joining the company, increasing team productivity by 30%.
Python Engineer
Basis Tecnologia
June 2021 - December 2021
- • Engineered an API specialized in validating incoming data against user-created rules within an ETL-based software to collect, process, validate and persist data of a wide-nation educational census. • Refactored and documented an ETL-based software, implementing industry best practices such as Design Patterns and Clean code, which improved team productivity significantly by adding readability and maintainability to the code. • Conducted Applications Profiling to identify critical bottlenecks causing processes to run for up to 24 hours. • Designed and developed a microservice to periodically cache resource-intensive queries. • Improved system performance by 90% with fixes to the database pooling, refactoring of inefficient code segments, and the integration of robust Redis-based caching mechanisms.
Software Engineer
Basis Tecnologia
September 2019 - June 2021
- • Built a NLP and Clustering Machine Learning model to extract pertinent data from Juridical documents. • Developed multiple Web Crawlers and API integrations, streamlining the extraction of crucial data related to the company's contract bidding processes. • Implemented a Web Application that granted access to the extracted data and ML outputs. It also supported monitoring and alerting (integrated with RocketChat) of ongoing contract bidding processes. • Created a Python package to effectively solve digit-based captchas leveraging Object Detection to automate Web Crawling. • Continuous Integration/Deployment Pipeline Integration with Docker, Jenkins, Helm and Kubernetes.