Personal details

Byron M. - Remote front-end developer

Byron M.

Senior Frontend Engineer
Timezone: Central America (UTC-6)

Summary

I've worked as a software developer since 2016. Self paid CS student that's managed to find a balance in work/life/study.

I'm a Guatemalan🇬🇹/Colombian 🇨🇴citizen moving soon to Mexico 🇲🇽

Work Experience

Senior Frontend engineer
Yalo | Sep 2021 - Present
Git
TypeScript
React
Jest
Webpack
Redux
GraphQL
Apollo
Agile
Redux Toolkit
• Overhauled internal tools to reduce build time by 90% and develop time by over 10 hrs. • Established objectives, milestones and deadlines in PI plannings for the frontend team • Directed and organized multiple teams to accomplish complex goals within a quarter
Frontend Software Engineer
HealthCare.com | May 2020 - Sep 2021
Git
GitHub
Salesforce
TypeScript
React
Jest
Webpack
Agile
Bootstrap 4
AWS (Amazon Web Services)
• Worked in an AGILE environment, using in-house frameworks based on React to fit custom needs • Launched several features that improved UX/UI and lifted customer conversion rates • Spearheaded the integration of third party analytics tools (GTM, Heap, Hotjar, VWO, Salesforce) • Led the transition to Typescript and process of typing of existing data structures for better testing, type management, and documentation • Reviewed and gave feedback on over 100 pull requests from teammates

Education

Universidad del Valle de Guatemala
Computer science・Computer science and information technologies
Jan 2015 - Present

Personal Projects

DeepbowlingIconOpenNewWindows
2021
React
AWS Lambda
AWS Rekognition
WebAssembly
AWS (Amazon Web Services)
• Architected the infrastructure, backend and frontend for an application that analyzes bowling videos, delivering efficient and smooth entity detection using AWS rekognition as AI engine • Designed and coded frontend UI using React and AWS SDK. • Employed multiple technologies such as Webassembly (for .mov to .mp4 file conversions), serverless backend using AWS Lambdas to adapt to fast changing requirements
Investigation of morbidity rates in Guatemala by season and location
2019
Python
R
• • Research using data mining algorithms (Naive Bayes, Trees, Clustering, SVN) Successfully identified the diseases that affected the country the most based on the location and current time of year of any given individual • Won the course contest for best project and qualified for the university science fair