Osvaldo Saez

Software Engineer

Years of Experience

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SKILLS & Expertise

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PROGRAMMING LANGUAGES

PROGRAMMING LANGUAGES

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PROJECTS COMPLETED

PROJECTS COMPLETED

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A bit about me.

I'm a senior mobile engineer with 10+ years of experience building scalable, high-impact cross-platform and native applications. I specialize in Flutter and native development in Dart, Kotlin, and Swift. This hybrid skill set allows me to bridge platform-specific capabilities with cross-platform efficiency, delivering seamless and performant mobile experiences. With strong fundamentals in algorithm design, data structures, and architectural principles, I thrive in agile environments that value bold ideas, product quality, and meaningful user outcomes.

I'm a senior mobile engineer with 10+ years of experience building scalable, high-impact cross-platform and native applications. I specialize in Flutter and native development in Dart, Kotlin, and Swift. This hybrid skill set allows me to bridge platform-specific capabilities with cross-platform efficiency, delivering seamless and performant mobile experiences. With strong fundamentals in algorithm design, data structures, and architectural principles, I thrive in agile environments that value bold ideas, product quality, and meaningful user outcomes.

Skills.

Programming
Languages

Over the years, I've come to master and dabble in a wide variety of programming languages. Here's a non-exhaustive list:

  • C/C++

  • C#

  • Java

  • Python

  • Dart

  • Kotlin

  • JavaScript

  • TypeScript

  • Swift

  • Go

Agile
Metodologies

Speed and delivery are essential. I learned that pretty early in my career. Over the years, this has become one of my most developed skills, supercharging my adaptability, collaboration, and efficiency.

Version Control
Git

Proficient in Git, GitHub, and GitLab for source code management, using complex branching strategies and integration with CI/CD workflows.

DevOps

Seasoned in DevOps practices, including CI/CD pipelines, infrastructure automation, and cloud deployments, with a focus on enhancing software delivery and operational efficiency..

Data Structures
Algorithms

Knowledgeable about Data Structures and Algorithms, with a strong understanding of arrays, linked lists, trees, graphs, and hash tables. Skilled in implementing efficient solutions using sorting, searching, and dynamic programming techniques, focusing on optimizing performance and solving complex computational problems.

System
Design

Experienced in System Design, with a strong understanding of designing scalable, reliable, and efficient systems. Experienced in applying principles of distributed systems, database design, API architecture, and load balancing to create solutions that meet both technical and business requirements.

Database
Management

Strong background in designing, optimizing, and maintaining relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB). Skilled in writing efficient queries, ensuring data integrity, and implementing indexing and normalization techniques for optimal performance.

Web
Development

Skilled in web development, with experience in building responsive, user-friendly websites and web applications using modern front-end technologies like HTML, CSS, JavaScript, and frameworks such as React and Angular. Proficient in back-end development with Node.js, ensuring seamless integration and performance optimization.

Artificial
Intelligence

Extensive knowledge of AI and Machine Learning, including supervised, unsupervised, and reinforcement learning. Skilled in implementing algorithms like neural networks and decision trees using frameworks such as TensorFlow and PyTorch. Experienced in data preprocessing, model evaluation, and deploying ML solutions for applications like NLP, computer vision, and recommendation systems, with a focus on real-world problem-solving.

Cloud
Computing

This is a summary of my key skills, but I have additional expertise and capabilities that can contribute to a wide range of projects and challenges.

Technologies.

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Experience and education.

march 2021 - Present

Lead Software Engineer

Addium, US

At Addium, I led the development of a cross-platform precision agriculture app using Flutter for mobile and desktop, enabling real-time monitoring of crop conditions via Bluetooth-integrated IoT sensors. I integrated native Android components through platform channels to optimize BLE communication and background data collection. Using Go Router, I implemented deep linking and contextual navigation for smooth onboarding and direct access to sensor views. The app delivered AI-powered insights via on-device models (TensorFlow Lite, Firebase ML), improving crop yield by 13% through predictive analytics and smart recommendations. I applied the BLoC pattern with Clean Architecture to maintain a modular, testable codebase, and collaborated with product and design in an agile environment to scope features, review code, and maintain development velocity.

january 2018 - march 2021

Principal Software Engineer

Telus, CA

At TELUS Health, I led the development of a secure cross-platform healthcare app using Flutter, enabling patients and providers to access EMRs through a unified interface on iOS and Android. I worked closely with backend and native teams to ensure compatibility with legacy systems and platform-specific requirements. Using Freezed, I implemented robust data modeling for seamless integration with FHIR-compliant APIs. I delivered a privacy-first mobile experience with on-device encryption, OAuth2 authentication, and granular access control, fully compliant with HIPAA and PHIPA. I introduced a scalable testing strategy across unit, widget, and integration layers, and applied Clean Architecture with BLoC to ensure long-term maintainability. Where needed, I used platform channels to integrate native functionality for secure storage and health APIs.

october 2015 - january 2018

Senior Software Engineer

Swift Medical, CA

At Swift Medical, I contributed to the development of an AI-powered Flutter application for iOS, Android, and Web that enabled clinicians to capture, analyze, and track wound images directly from smartphones—streamlining workflows and improving patient outcomes. I built advanced camera features using Flutter’s image stack alongside native OpenCV integrations via platform channels, allowing real-time extraction of wound dimensions, depth, and tissue assessment. I deployed on-device machine learning models with TensorFlow Lite for wound segmentation and tissue classification, improving analysis accuracy by 37% and providing clinicians with actionable insights. Additionally, I implemented FHIR-compliant data exchange through a custom Dart FHIR client, ensuring secure interoperability with electronic medical records and full compliance with HIPAA and PHIPA regulations.

december 2013 - october 2015

Software Engineer

Nielsen, MX

Nielsen is a global leader in audience measurement, data and analytics. While there, I worked on enhancing and maintaining an internal application that utilized Artificial Intelligence to revolutionize how receipts and invoices were processed. By integrating advanced OCR (Optical Character Recognition) technology, the application could accurately extract structured data from scanned documents. This innovation allowed agents to process information directly in-store, eliminating the need for time-consuming manual data entry. My work focused on optimizing the system’s performance, ensuring scalability, and improving its reliability, significantly enhancing operational efficiency, accuracy, and overall user experience.

2013 - 2015

Master of Science in Computer Science

Autonomous University of Morelos

During my Master’s program, I deepened my expertise in Artificial Intelligence and Machine Learning by tackling challenges in precision agriculture. My work involved using drones to capture aerial images of crops and developing AI-driven models to analyze the images. By identifying areas requiring improved irrigation and fertilizer application, I demonstrated how technology can enhance agricultural efficiency and sustainability. This experience strengthened my skills in computer vision, data analysis, and applying AI to solve real-world problems.

Read work

2008 - 2013

Bachelor of Science in Computer Science

Havana University

During my Bachelor’s program, I focused my thesis on designing a system to accurately identify bird species based on their sounds. Leveraging Hidden Markov Models (HMMs), I developed a robust framework for analyzing audio patterns and classifying bird calls. This work deepened my understanding of signal processing, machine learning algorithms, and their practical applications in bioacoustics, showcasing the potential of technology in ecological research.

Read work

More projects.

Experience and education.

march 2021 - Present

Lead Software Engineer

Addium, US

At Addium, I led the development of a cross-platform precision agriculture app using Flutter for mobile and desktop, enabling real-time monitoring of crop conditions via Bluetooth-integrated IoT sensors. I integrated native Android components through platform channels to optimize BLE communication and background data collection. Using Go Router, I implemented deep linking and contextual navigation for smooth onboarding and direct access to sensor views. The app delivered AI-powered insights via on-device models (TensorFlow Lite, Firebase ML), improving crop yield by 13% through predictive analytics and smart recommendations. I applied the BLoC pattern with Clean Architecture to maintain a modular, testable codebase, and collaborated with product and design in an agile environment to scope features, review code, and maintain development velocity.

january 2018 - march 2021

Principal Software Engineer

Telus, CA

At TELUS Health, I led the development of a secure cross-platform healthcare app using Flutter, enabling patients and providers to access EMRs through a unified interface on iOS and Android. I worked closely with backend and native teams to ensure compatibility with legacy systems and platform-specific requirements. Using Freezed, I implemented robust data modeling for seamless integration with FHIR-compliant APIs. I delivered a privacy-first mobile experience with on-device encryption, OAuth2 authentication, and granular access control, fully compliant with HIPAA and PHIPA. I introduced a scalable testing strategy across unit, widget, and integration layers, and applied Clean Architecture with BLoC to ensure long-term maintainability. Where needed, I used platform channels to integrate native functionality for secure storage and health APIs.

october 2015 - january 2018

Senior Software Engineer

Swift Medical, CA

At Swift Medical, I contributed to the development of an AI-powered Flutter application for iOS, Android, and Web that enabled clinicians to capture, analyze, and track wound images directly from smartphones—streamlining workflows and improving patient outcomes. I built advanced camera features using Flutter’s image stack alongside native OpenCV integrations via platform channels, allowing real-time extraction of wound dimensions, depth, and tissue assessment. I deployed on-device machine learning models with TensorFlow Lite for wound segmentation and tissue classification, improving analysis accuracy by 37% and providing clinicians with actionable insights. Additionally, I implemented FHIR-compliant data exchange through a custom Dart FHIR client, ensuring secure interoperability with electronic medical records and full compliance with HIPAA and PHIPA regulations.

december 2013 - october 2015

Software Engineer

Nielsen, MX

Nielsen is a global leader in audience measurement, data and analytics. While there, I worked on enhancing and maintaining an internal application that utilized Artificial Intelligence to revolutionize how receipts and invoices were processed. By integrating advanced OCR (Optical Character Recognition) technology, the application could accurately extract structured data from scanned documents. This innovation allowed agents to process information directly in-store, eliminating the need for time-consuming manual data entry. My work focused on optimizing the system’s performance, ensuring scalability, and improving its reliability, significantly enhancing operational efficiency, accuracy, and overall user experience.

2013 - 2015

Master of Science in Computer Science

Autonomous University of Morelos

During my Master’s program, I deepened my expertise in Artificial Intelligence and Machine Learning by tackling challenges in precision agriculture. My work involved using drones to capture aerial images of crops and developing AI-driven models to analyze the images. By identifying areas requiring improved irrigation and fertilizer application, I demonstrated how technology can enhance agricultural efficiency and sustainability. This experience strengthened my skills in computer vision, data analysis, and applying AI to solve real-world problems.

Read work

2008 - 2013

Bachelor of Science in Computer Science

Havana University

During my Bachelor’s program, I focused my thesis on designing a system to accurately identify bird species based on their sounds. Leveraging Hidden Markov Models (HMMs), I developed a robust framework for analyzing audio patterns and classifying bird calls. This work deepened my understanding of signal processing, machine learning algorithms, and their practical applications in bioacoustics, showcasing the potential of technology in ecological research.

Read work

More projects.

Experience and education.

march 2021 - Present

Lead Software Engineer

Addium, US

At Addium, I led the development of a cross-platform precision agriculture app using Flutter for mobile and desktop, enabling real-time monitoring of crop conditions via Bluetooth-integrated IoT sensors. I integrated native Android components through platform channels to optimize BLE communication and background data collection. Using Go Router, I implemented deep linking and contextual navigation for smooth onboarding and direct access to sensor views. The app delivered AI-powered insights via on-device models (TensorFlow Lite, Firebase ML), improving crop yield by 13% through predictive analytics and smart recommendations. I applied the BLoC pattern with Clean Architecture to maintain a modular, testable codebase, and collaborated with product and design in an agile environment to scope features, review code, and maintain development velocity.

january 2018 - march 2021

Principal Software Engineer

Telus, CA

At TELUS Health, I led the development of a secure cross-platform healthcare app using Flutter, enabling patients and providers to access EMRs through a unified interface on iOS and Android. I worked closely with backend and native teams to ensure compatibility with legacy systems and platform-specific requirements. Using Freezed, I implemented robust data modeling for seamless integration with FHIR-compliant APIs. I delivered a privacy-first mobile experience with on-device encryption, OAuth2 authentication, and granular access control, fully compliant with HIPAA and PHIPA. I introduced a scalable testing strategy across unit, widget, and integration layers, and applied Clean Architecture with BLoC to ensure long-term maintainability. Where needed, I used platform channels to integrate native functionality for secure storage and health APIs.

october 2015 - january 2018

Senior Software Engineer

Swift Medical, CA

At Swift Medical, I contributed to the development of an AI-powered Flutter application for iOS, Android, and Web that enabled clinicians to capture, analyze, and track wound images directly from smartphones—streamlining workflows and improving patient outcomes. I built advanced camera features using Flutter’s image stack alongside native OpenCV integrations via platform channels, allowing real-time extraction of wound dimensions, depth, and tissue assessment. I deployed on-device machine learning models with TensorFlow Lite for wound segmentation and tissue classification, improving analysis accuracy by 37% and providing clinicians with actionable insights. Additionally, I implemented FHIR-compliant data exchange through a custom Dart FHIR client, ensuring secure interoperability with electronic medical records and full compliance with HIPAA and PHIPA regulations.

december 2013 - october 2015

Software Engineer

Nielsen, MX

Nielsen is a global leader in audience measurement, data and analytics. While there, I worked on enhancing and maintaining an internal application that utilized Artificial Intelligence to revolutionize how receipts and invoices were processed. By integrating advanced OCR (Optical Character Recognition) technology, the application could accurately extract structured data from scanned documents. This innovation allowed agents to process information directly in-store, eliminating the need for time-consuming manual data entry. My work focused on optimizing the system’s performance, ensuring scalability, and improving its reliability, significantly enhancing operational efficiency, accuracy, and overall user experience.

2013 - 2015

Master of Science in Computer Science

Autonomous University of Morelos

During my Master’s program, I deepened my expertise in Artificial Intelligence and Machine Learning by tackling challenges in precision agriculture. My work involved using drones to capture aerial images of crops and developing AI-driven models to analyze the images. By identifying areas requiring improved irrigation and fertilizer application, I demonstrated how technology can enhance agricultural efficiency and sustainability. This experience strengthened my skills in computer vision, data analysis, and applying AI to solve real-world problems.

Read work

2008 - 2013

Bachelor of Science in Computer Science

Havana University

During my Bachelor’s program, I focused my thesis on designing a system to accurately identify bird species based on their sounds. Leveraging Hidden Markov Models (HMMs), I developed a robust framework for analyzing audio patterns and classifying bird calls. This work deepened my understanding of signal processing, machine learning algorithms, and their practical applications in bioacoustics, showcasing the potential of technology in ecological research.

Read work

More projects.

Let's talk

Mail
Osvaldo

Let's talk

Mail
Osvaldo

Let's talk

Mail
Osvaldo

© 2024 Osvaldo Saez. All Rights Reserved.

© 2024 Osvaldo Saez. All Rights Reserved.

© 2024 Osvaldo Saez. All Rights Reserved.