Skilled Full Stack Software Engineer with more than 6 years of experience creating high-quality applications and features to address the diverse needs of users. Possesses an extensive list of successful projects across diverse fields in the business, research, and academic areas.
science related features in the main platform.
Convoluted Neural Network that learned how to colorize grayscale images. I directly worked on designing and implementing the convolution layers necessary to achieve this. One nice idea was to include a predefined layer for object detection.
Sped up results by including 'imagenet' pretrained object detection layer into our custom designed layers.
Leveraged the power of various Python libraries for manipulation and preparation of images. For example, matplotlib, keras.preprocessing.image, skimage.color.
As part of development, created tools and functions to easily convert and compare images from grayscale to colored images. This would speed up the learning process and shorten the training time.
One example of our results can be seen here: https://github.com/marioscience/image-colorizer-notebook/blob/master/download%20(2).png.
The entire process was documented in the mock research paper: https://github.com/marioscience/image-colorizer-notebook/blob/master/Research%20Paper.pdf
Using cosine similarity matrix (same algorithm used by Netflix) movies are recommended to users depending on their taste or current trends.
Consumed OMDB API, which is similar to IMDb. This allowed for movie posters and user ratings to be used in data analysis.
Leveraged the power of Python data science libraries such as sklearn, surprise, and pandas.
Created entire application architecture with data, services, API and UI layers.
Designed and implemented Docker and docker-compose configuration for quick containerized deployment.
Created UI using React.js reusable components. Responsive layout was created using compact and elegant CSS3 flex layout.
Using Spark and Scala, created a distributed system to compute bootstrapping statistics and distributed aggregation of data.
Utilized Scala for creating the code that would run in multiple instances of Apache Spark.
Created distributed algorithms to deal with data that is split in multiple storage locations.
Combined power of Scala, Spark and server configurations to process large input files
Hadoop Distributed System running distributed map reduce algorithms. As part of this project, Docker configuration and supporting bash scripts were created. The programming language used is Java.
Created Hadoop configurations for each type of server in a typical hadoop cluster.
Created Hadoop MapReduce algorithm in Java.
Containerized application by writing Docker configuration.
Worked on implementation and deployment of features for a CRM module that integrated with Sage ERP System
Developed features at all levels of the web application stack
Participated in all stages of the software development lifecycle
Worked in advanced architecture that included technologies such as Node.js, Express.js, PM2, MySQL, Angular, Bootstrap, ASP.NET, C#, SQL Server
Homegenius is a marketplace for real estate properties. I worked on creating a complete framework that automated many of the development tasks and put me and my team ahead of schedule for many sprints.
Developed framework for development of features that automated many development tasks such as production and development builds, dependency management, media asset management, code linting, automated testing, reusable UI components, and advanced software architecture.
Designed and implemented main front end feature which consisted of a Google Map V3 with many features on top of it. These included filtering of properties by desired criteria, showing colors in markers depending on price, custom selection of area, neighborhood delineations, and pulling Google information about amenities nearby.
Built many listing and detail pages with advanced functionality
Designed and integrated many REST APIs
[Github: https://github.com/UCHIC/iUTAHData]
Main website of iUtah project. An ambitious research project to collect and analyze environmental hydrologic data. The website has a D3.js dashboard that displays data processed in the backend. This data comes from sensors deployed in the field measuring a wide range of variables.
Built from simple requirements all the way to deployment and maintenance.
Created my first website by leveraging the power of Django.
Included an admin site where users could add and modify content in different pages.
[Github: https://github.com/marioscience/asteroid_exploder]
Asteroid shooting game. Using game design principles and techniques, Node.js, HTML5 Canvas, JavaScript, etc. Deployed using Heroku.
Built from simple requirements all the way to deployment and maintenance.
Created my first website by leveraging the power of Django.
Included an admin site where users could add and modify content in different pages.
The project is internal to the Utah Water Research Laboratory.
Inventory Management System to keep track of sensor equipment utilized for collecting environmental hydrologic data at sites for research. This system kept track of all equipment, whether it was deployed, where it was deployed, maintenance, and any other activity related to them.
Worked on entire level of the software development lifecycle. From requirements to deployment and maintenance.
Combined Python, Django, jQuery, and Bootstrap to create modern web application
Wrote DDL and DML advanced SQL queries to design and create schemas or complex data retrieval.
Implemented open source Wikimedia for internal wiki for employees at the USU Campus Store.
Understanding of open source and identification of solution to common problem in my work environment.
Full deployment and maintenance to local Linux server.
Implemented cameras that detected movement and recorded video utilizing low disk space.
Created camera system that was robust and deployed to local Linux servers.
Utilization of open source technologies.
Engineered scripts to support desired behavior.
“ Mario has been an awesome coworker. He's not only been extremely helpful to me, but regularly puts in extra time in the evenings and on weekends to make sure projects are being done on time and that assets are produced in requested sprint cycles. He has a very wide knowledge of all things web development, but more importantly knows what will be best suited to complete any specific project and do it in a timely manner. He's got a great sense of humor and doesn't take himself too serious, which is great especially in an environment that may be stressful with deadlines fast approaching. He's also very good at testing new technologies on a projects to make things faster, compact, and efficient. This is one of the easier recommendations I've written as Mario and his skill set and experience speak for themselves and I'd happily recommend him for promotion from within and definitely as a valued team member should anybody be lucky enough to try and steal him away in the future. ”