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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

Pontificia Universidad Católica del Perú

March 2012 - December 2017