Master of Science in Computer Science, Machine Learning

2025

Georgia Institute of Technology, Atlanta, GA

Focused on Machine Learning specialization, covering core topics like Artificial Intelligence, Machine Learning, Deep Learning, and Natural Language Processing, along with applied areas such as Machine Learning for Trading and Data & Visual Analytics. The curriculum balances theoretical foundations with practical applications, equipping students with advanced ML techniques and algorithmic problem-solving skills.

Master of Business Administration

2022

National University, San Diego, CA

Focused on the conceptual understanding and application of problem-solving tools in essential business disciplines, including accounting, economics, data analysis, finance, management, and marketing. Essentially for effective team-building, quantitative and qualitative decision-making, and creative problem-solving.

Bachelor's degree in Systems Engineering

2011

Peruvian Union University, Lima, Peru

Focused on Computer Science, Computer Engineering, and Software Engineering. Among the courses I took, the ones I enjoyed the most were Math, Upper & Linear Algebra, Calculus, Statistics, Physics, Algorithms, Data Structures, Programming Languages, Databases, Engineering Drawing, Computer Graphics, Compilers, Numerical Methods, Operational Research, System Analysis & Design, Software Engineering, and Artificial Intelligence.

Senior Staff Software Engineer

2018 - Present

Qualifacts Systems LLC, Nashville, TN USA

• Working on the architectural design and coding of new projects for Carelogic Clinical modules such as taper and titrations for complex-sig medication management.
• Contributed to Analytics Advanced Base Platform with Looker integration, a ByteCode-based API to create and manage Custom Explorer entities, Custom Dashboards, and Looker Embedding for data representation in Carelogic.
• Developed the CareLogic Mobile App for the healthcare industry using Kony Visualizer and JavaScript, delivering a seamless cross-platform experience on Android and iOS. Integrated with REST services through Kony Fabric using Java 8 and Spring Framework.
• Worked on eMAR, Treatment Plan and other projects by leveraging Java 11, Apache Camel, RabbitMQ, and WebSockets to improve performance and reliability.
• Conducted technical research on machine learning, demonstrating practical applications of Object Recognition, Image Colorization, and Facial Recognition using Python, OpenCV, NumPy, and TensorFlow.

Lead Software Engineer

2016 - 2018

Qualifacts Peru, Lima, Peru

• Led agile team on multiple projects to deliver on-time user stories developed and functional testing completed. Responsible to review user stories, estimate each task with the team, split in Sprints, identify dependencies, define the start and end dates with DEV and QA, elaborating the Software Development Plan, creating the Jira Dashboard and following up each Jira task, facilitating the Daily Stand-up Meetings, follow up sprint progress, send and complete the Code Reviews, make the Sprint Demos and lead the Sprint Retrospective meetings.
• A micro-services approach combined with cloud-based DevOps model enterprise solutions. Some technologies and tools used: Java 8, Spring Boot, Batch, MyBatis, Node.js, React, Redux, React-Router, Express.js, JQuery, Swagger, Docker, Git, Gradle, Jenkins, Jira, Crucible, OAuth2, JMeter, Selenium, SauceLabs, Oracle DB, MariaDB, MongoDB, Vertica, Hazelcast, Zuul, Nginx, Dynatrace, RXJava, Hystrix, Junit, Mockito, H2, Camel, Activiti - BPMN 2.0, RabbitMQ Stomp for WebSockets, Kafka, Apache Storm, and much more.