Rodrigo Alexander Fernandez Huarca
Available to hire
I’m Rodrigo Alexander Fernandez Huarca, a Full Stack and Mobile Developer specializing in building scalable applications using Clean Architecture principles. I’m experienced in React, NestJS, Spring Boot, and FastAPI, and I design systems that deliver measurable impact.
I apply technical leadership and architectural decision-making to challenging and innovative projects, leveraging my expertise to drive robust, maintainable software and real-time analytics.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
Spanish; Castilian
Fluent
English
Advanced
Work Experience
Full-Stack Web Developer | Researcher at UNSA Arequipa
December 1, 2024 - November 4, 2025Led agricultural analytics initiative processing satellite imagery to classify crops across 5+ regions using computer vision. Developed and trained ML models (Python, TensorFlow) achieving +90% accuracy in phenological stage detection and crop classification. Engineered automated data pipelines reducing manual analysis time by 80%, enabling real-time over-cultivation monitoring. Tech: Python, TensorFlow/PyTorch, Computer Vision, Satellite Imagery Processing, Data Pipelines.
Mobile Developer at Arequipa Health Management
October 1, 2025 - October 1, 2025Designed and deployed a mobile application to automate anemia patient detection and treatment workflows. Enhanced diagnostic accuracy by calibrating hemoglobin (Hb) levels based on patient height, improving precision. Implemented an advanced case-tracking system for anemia management, reducing follow-up delays by approximately 75%.
Full-Stack Web Developer at Medical Department of National University of Saint Agustin
January 1, 2025 - November 4, 2025Engineered an internal web platform to automate the medical registration process, cutting administrative time by 50%. Automated patient registration and digital medical record management, improving data accessibility for healthcare staff. Developed an AI-powered medical assistant to support diagnostic decisions, reducing preliminary assessment time.
Full-Stack Web Developer at UNSA Arequipa
December 1, 2024 - PresentLed agricultural analytics initiative processing satellite imagery to classify crops across 5+ regions using computer vision; developed and trained ML models (Python, TensorFlow) achieving >90% accuracy in phenological stage detection and crop classification; engineered automated data pipelines reducing manual analysis time by 80%, enabling real-time over-cultivation monitoring.
Education
Bachelor’s Degree in Systems Engineering at National University of San Agustin
January 11, 2030 - January 1, 2027Bachelor’s Degree in Systems Engineering at National University of San Agustin
January 11, 2030 - January 1, 2027Qualifications
Industry Experience
Agriculture & Mining, Healthcare, Education, Software & Internet, Government
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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