Daniel Pineda Salazar

Daniel Pineda Salazar

About

Detail

Antioquia, Colombia
Contact Daniel regarding: 
Flexible work
Starting at USD20/hour

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Résumé

Jobs verified_user 0% verified
  • A
    Full Stack Developer
    APPU STORE
    Jul 2025 - Jun 2026 (1 year)
    Developed and maintained a POS system built with Django, containerized with Docker and deployed to AWS ECS via ECR. Managed cloud infrastructure including DynamoDB for persistence, S3 for storage, Cognito for user authentication, and IAM for access control. Built a cross-platform mobile POS app for iOS and Android using Expo, serving over 2,000 active users.
Education verified_user 0% verified
  • EIA University
    Systems Engineering
    EIA University
    Jul 2022 - Current (4 years)
    9th semester
  • Canadian School
    High School Diploma
    Canadian School
    Jan 2008 - Jun 2022 (14 years 6 months)
Projects (professional or personal) verified_user 0% verified
  • A
    Airline
    Oct 2025 - Feb 2026 (5 months)
    I’ve developed a full-stack airline booking app with a Java Spring Boot backend and a React SPA frontend, featuring REST APIs, MySQL/PostgreSQL persistence, and secure JWT-based authentication with roles (Customer, Admin, Pilot). The app supports flight search, seat selection, and booking management with scalable architecture.
  • E
    E-Commerce
    Jun 2025 - Sep 2025 (4 months)
    Built with Next.js, this app offers product browsing, secure checkout, and multiple payment options (Cash, PayPal, Stripe). Includes protected admin access and authentication flow requiring login or registration before purchase.
  • B
    Blogs
    Jan 2025 - Feb 2025 (2 months)
    Developed using NestJS, featuring modular architecture, JWT and Google OAuth authentication, post and media management, and full Swagger documentation. Designed for scalability with multi-environment support, robust validation, and comprehensive testing.
Awards verified_user 0% verified
  • EIA University
    Hackaton
    EIA University
    May 2026
    Multi-task EfficientNet-B0 fine-tuned on 7,909 breast histology slides (BreaKHis). Simultaneously classifies tumors as benign/malignant and identifies 8 clinical subtypes, with Grad-CAM heatmaps for explainability. Includes AlphaFold2 PALB2 protein structure comparison (WT vs mutant) rendered in an interactive 3D molecular viewer. Served via FastAPI. Best val AUC-ROC: 0.89.