Alexandra Espichan Linares
Development
Lima, Peru
Skills
Python
About
Alexandra Espichan Linares's skills align with Programmers (Information and Communication Technology). Alexandra also has skills associated with Web Professionals (Information and Communication Technology). Alexandra Espichan Linares has 8 years of work experience.
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Work Experience
Software Development Engineer
Amazon
March 2023 - December 2023
- Developed high-impact features used by millions of people. Led technical design for the projects I worked on. Wrote detailed documentation for business requirements, technical design, experiment and test plans. Dived deep on ambiguous requirements and a huge codebase to get the necessary information to develop the features. Collaborated with product, design and owners of multiple services to build features.
Full Stack Software Engineer
Able
May 2020 - December 2022
- Implemented and maintained Ruby on Rails and React applications Implemented and maintained Flask and Vue applications Wrote unit tests using Jest and RSpec, and end-to-end tests using Cypress Used TailwindCSS to improve the UX and UI of the applications Used PostgreSQL Used multiple AWS services Participated in the definition of infrastructure and tooling for the applications and services we use Performed maintenance of legacy code and refactor to use modern technologies Collaborated with the product and design teams to build features Participated in recruiting processes to scale the team
Teaching Assistant
PUCP
March 2016 - July 2020
- Supported students to help them better understand the courses: Algorithms, Programming fundamentals, Operating systems, Computer science applications, Artificial Intelligence
IT Consultant
Management Solutions
November 2019 - March 2020
- Developed a Big data process for a Peruvian bank entity.
Data Scientist / Data Analyst
Rimac Seguros y Reaseguros
April 2018 - July 2019
- Led automation of search process for life annuity prospects. It reduced process time and workload from about 8 hours and 2 people involved to about 30 minutes and no people involved. Developed and deployed machine learning models on AWS. Automated extraction, storage and processing of big open data.
Education
