Ismael Resendiz

I'm a dedicated individual with 10+ years of experience in full-cycle enterprise software implementation. Analytical, self-driven, and passionate about building reliable software solutions to help organizations face modern world challenges.

Designed solutions to integrate applications using RESTful APIs, Batch Jobs and Cloud in a scalable, resilient, reliable and maintainable manner.
Developed high performance and large volume data integrations to meet demanding SLAs.
Incorporated new technology stacks into work to give our teams an opportunity to keep learning and stay on top of best technological practices.

In my free time I enjoy to exercise, travel, play the guitar and attend live concerts. I'm also a crypto enthusiast who loves to submerge into the blockchain entrails, and I enjoy experimenting and researching with Data Science/Machine Learning related topics.

Skilset

I adquire technical and functional skills during my professional carrier, solid fundation on data sience and machine learning and I'm constantly searching to adopt new tehcnologies and contributing to the tech world.

• Java/Python/Js
• MongoDB/Oracle/MySQL
• Apache Hadoop/Spark
• Machine Learning
• Oracle ORMB/ CC&B
• Agile/Scrum

Projects

These are some of the projects I'm pationed about.

Facemask Detection

During COVID-19 outbreak the World Health Organization issue recommendations and new practices, all in-door public places like grocery stores, shopping malls, movie theaters, etc. requiring their customers to wear facial mask to enter. However, enforcing to wear mask in large amounts of customers may be a complicated task for a human to do. Considering that most public places count with surveillant systems with cameras, these systems can be repurposed to automate face mask detection on the customer.

The objective of this project is to apply deep learning algorithms to perform face mask detection on real-time videos and photos. Specifically, this project experiments with few Convolutional Neural Networks (CNN) that perform object classification.

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Heart Disease Prediction

Based on the Center for Disease Control and Prevention, heart disease is the leading cause of deth for men and women of most racial and etnic groups in the U.S. One person dies every 36 seconds in the U.S. from cadiovascular disease. This makes heat disease a major concern to be deal with. And it might be difficult to identify heart diseas because of seveal risk factors such as age, high blood pressure, high colesterol, and many other.

The purpose of this project is to explore existing Machine Learning algorithms which can solve the heart disease prediction problem and experiment with different heart disease datasets.

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WebRTC Video conference

Peer-to-peer video conference is an module that can be adapted to any web or mobile application. It allows users to create video chat rooms and share the link with others to join. It is a prototype that may require additional work to scalate it to support large number or participants at the same time.

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Accomplishments

• Over 5+ full cycle Oracle CC&B Implemenations
• 2 full cycle Oracle RMB implementations
• Leading several corporate software integrations and transformations; From premise hosted to cloud, high volume interfaces and demanding SLAs
• Implementing Machine learning Proof-of-concept to forecast data correctness and completness
• Participated in multiple Hackatons and Programing competitions across the U.S and Mexico
• Attended Computer science and computer vision conferences including ICCV 2020, Texas State Seminars 2020-2022, etc.