Junior Software Engineer

Andi J. Castillo-Mauricio

****.*****@*****.*** 317-***-**** Indianapolis,IN 46214 LinkedIn:andi-castillo GitHub:Andi-Cast Technical Skills

Languages:Java, JavaScript, TypeScript, HTML5, CSS,C++ Developer Tools:Git/GiHub, Visual Studio Code, IntelliJ,Postman, Thunder Client Libraries/Frameworks:React, Next.js, Tailwind CSS,Spring Boot, MongoDB, PostgreSQL Project Experience

Crypto Portfolio Tracker Full Stack Source Code

Next.js TypeScript Tailwind CSS Node.js MongoDB

● Developed afull-stackcryptocurrency portfolio tracker that enables real-time monitoring and analysis of investments, leveragingNext.jsfor the front end andNode.jswithMongoDBfor backend management.

● ImplementedRESTful APIswith secureJWT authenticationto enhance user session management and data security, utilizingNode.jsandExpress for robust backend services interacting withMongoDB.

● Designed a dynamic and responsive user interface to improve user engagement and accessibility, employing Next.js and Tailwind CSSfor customizable dashboard views displaying portfolio metrics and trade history.

● Integrated multiple cryptocurrency exchangeAPIsto provide comprehensive insights and support informed investment decisions, enabling real-time updates and automated portfolio valuation through advanced data fetching techniques. Perishable Inventory Management System Full Stack Source Code React JS Spring Boot MongoBD JavaScript

● Engineered a full-stack inventory management system specifically designed to track perishable items such as produce, enabling proactive management by flagging items three days before expiration, thereby allowing managers to monitor critical expiration dates effectively.

● UtilizedJavaandSpring Bootto create a secure,RESTful APIfor user access and data handling, employingJWT for authenticationandMongoDBfor database operations. Implemented distinct functionalities for Admin and Member accounts to enable effective user management and secure access to various system features.

● Developed a dynamic interface usingReactand styled withTailwind CSS, enhancing the application’s usability and visual appeal to improve user engagement and operational efficiency. Feature Detection Neural Network Academic Team Project MATLAB Python Faster R-CNN Data Handling

● Developed and trained detectors for identifying facial features such as hands, face, mouth, and eyes usingFaster R-CNN, ensuring efficient data conversion and handling to maintain high processing standards throughout the project.

● Directed team efforts to annotate over27,000 framesfrom multiple video angles, establishing ground-truth standards for consistent featurelabelingand significantly enhancing the dataset's quality.

● AchievedIntersection over Union (IOU) scores above 50%for four out of five facial features, demonstrating the model's effectiveness and precision in detecting most facial features.

● Createdcustom scripts using PythonandExcelto analyze and categorize results by accuracy, streamlining the evaluation and debugging processes to improve model reliability and performance. Education

Purdue University Indianapolis, IN

B.S. in Computer Science

● Concentration:Biocomputing

● GPA: 3.76/4.00

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