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 am a software developer with over 14 years of experience and a passion for developing innovative solutions that address complex challenges. With a strong foundation in computer science and practical experience in various programming languages, I specialize in building scalable applications and optimizing performance. My expertise includes web and app development, system architecture, and software design patterns.

I am a software developer with over 14 years of experience and a passion for developing innovative solutions that address complex challenges. With a strong foundation in computer science and practical experience in various programming languages, I specialize in building scalable applications and optimizing performance. My expertise includes web and app development, system architecture, and software design patterns.

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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Education and experience.

2010 - 2016

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
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

2016 - 2020

Senior Software Engineer

Swift Medical, CA

Swift Medical is an exciting startup revitalizing clinical imaging and wound care. At the company, I played a crucial role in developing an advanced application designed to assist nurses and doctors in wound management. The app enables medical professionals to capture images of wounds and accurately measure critical attributes such as size, depth, and necrotic tissue. It also tracks wound progress over time, providing valuable data-driven insights to improve patient care and treatment outcomes. This innovative solution harnessed cutting-edge Machine Learning and Artificial Intelligence techniques to analyze medical images with precision, ensuring reliable assessments. My work focused on optimizing the app’s functionality, ensuring its accuracy, and delivering a transformative tool for modern healthcare.

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.

2020 - Present

Lead Software Engineer

Addium, US

Addium is a leader in agricultural data retrieval and processing. My responsibilities include leading our development team to build and maintain a mobile application that enables clients to sync their IoT devices to monitor crop conditions. These devices capture crucial agricultural metrics such as UV light exposure, irrigation levels, soil composition, and air quality. The app aggregates and visualizes this data in a user-friendly interface while providing actionable insights to optimize farming practices. As the team lead, I oversaw the development process, ensured seamless device integration and efficient data processing, and delivered a reliable platform for data-driven decision-making in precision agriculture.

Principal Software Engineer

Telus, CA

Telus is one of Canada's biggest telecommunication and health companies. During my team there, I led the team in building a groundbreaking solution that enabled Canadians to access their electronic medical records (EMRs) seamlessly. This project tackled the complex challenge of supporting and aggregating numerous legacy EMR systems across various provinces while ensuring compliance with strict medical and safety regulations. As a leader, I guided the development process, creating a robust and secure platform that unified disparate systems, delivered a user-friendly experience, and adhered to the highest data privacy and healthcare compliance standards, transforming how Canadians interact with their healthcare records.

More projects.

Education and experience.

2010 - 2016

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
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

2016 - 2020

Senior Software Engineer

Swift Medical, CA

Swift Medical is an exciting startup revitalizing clinical imaging and wound care. At the company, I played a crucial role in developing an advanced application designed to assist nurses and doctors in wound management. The app enables medical professionals to capture images of wounds and accurately measure critical attributes such as size, depth, and necrotic tissue. It also tracks wound progress over time, providing valuable data-driven insights to improve patient care and treatment outcomes. This innovative solution harnessed cutting-edge Machine Learning and Artificial Intelligence techniques to analyze medical images with precision, ensuring reliable assessments. My work focused on optimizing the app’s functionality, ensuring its accuracy, and delivering a transformative tool for modern healthcare.

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.

2020 - Present

Lead Software Engineer

Addium, US

Addium is a leader in agricultural data retrieval and processing. My responsibilities include leading our development team to build and maintain a mobile application that enables clients to sync their IoT devices to monitor crop conditions. These devices capture crucial agricultural metrics such as UV light exposure, irrigation levels, soil composition, and air quality. The app aggregates and visualizes this data in a user-friendly interface while providing actionable insights to optimize farming practices. As the team lead, I oversaw the development process, ensured seamless device integration and efficient data processing, and delivered a reliable platform for data-driven decision-making in precision agriculture.

Principal Software Engineer

Telus, CA

Telus is one of Canada's biggest telecommunication and health companies. During my team there, I led the team in building a groundbreaking solution that enabled Canadians to access their electronic medical records (EMRs) seamlessly. This project tackled the complex challenge of supporting and aggregating numerous legacy EMR systems across various provinces while ensuring compliance with strict medical and safety regulations. As a leader, I guided the development process, creating a robust and secure platform that unified disparate systems, delivered a user-friendly experience, and adhered to the highest data privacy and healthcare compliance standards, transforming how Canadians interact with their healthcare records.

More projects.

Education and experience.

2010 - 2016

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
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

2016 - 2020

Senior Software Engineer

Swift Medical, CA

Swift Medical is an exciting startup revitalizing clinical imaging and wound care. At the company, I played a crucial role in developing an advanced application designed to assist nurses and doctors in wound management. The app enables medical professionals to capture images of wounds and accurately measure critical attributes such as size, depth, and necrotic tissue. It also tracks wound progress over time, providing valuable data-driven insights to improve patient care and treatment outcomes. This innovative solution harnessed cutting-edge Machine Learning and Artificial Intelligence techniques to analyze medical images with precision, ensuring reliable assessments. My work focused on optimizing the app’s functionality, ensuring its accuracy, and delivering a transformative tool for modern healthcare.

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.

2020 - Present

Lead Software Engineer

Addium, US

Addium is a leader in agricultural data retrieval and processing. My responsibilities include leading our development team to build and maintain a mobile application that enables clients to sync their IoT devices to monitor crop conditions. These devices capture crucial agricultural metrics such as UV light exposure, irrigation levels, soil composition, and air quality. The app aggregates and visualizes this data in a user-friendly interface while providing actionable insights to optimize farming practices. As the team lead, I oversaw the development process, ensured seamless device integration and efficient data processing, and delivered a reliable platform for data-driven decision-making in precision agriculture.

Principal Software Engineer

Telus, CA

Telus is one of Canada's biggest telecommunication and health companies. During my team there, I led the team in building a groundbreaking solution that enabled Canadians to access their electronic medical records (EMRs) seamlessly. This project tackled the complex challenge of supporting and aggregating numerous legacy EMR systems across various provinces while ensuring compliance with strict medical and safety regulations. As a leader, I guided the development process, creating a robust and secure platform that unified disparate systems, delivered a user-friendly experience, and adhered to the highest data privacy and healthcare compliance standards, transforming how Canadians interact with their healthcare records.

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.