I am experienced in mobile and web application development. I have over 8 years of experience building and maintaining mobile and web applications. I am grateful to have found what I like to do and I program every day in order to get better and stay up to date.
Survey Workflow Solution; created using Blazor (.NET 8) to offer seamless survey processing capabilities across web and SMS platforms.
A dynamic Vue.js and ASP.NET Core (.NET 8) web application, featuring an efficient proxy architecture. Expertly deployed on Railway with Continuous Integration in a Docker container, ensuring robust performance and scalability.
Twilio Communications Website; developed with Python Flask, Twilio SDK, and Google Firebase(Real Time Database) hosted on Linux Ubuntu Server using AWS.
E-Commerce Website; developed with Python Flask hosted on Linux Ubuntu Server with Docker using AWS.
Call Center Management Website; developed with ASP.NET Framework (4.6.1) and hosted on Windows Server.
A smart voicemail management service built using Twilio, IBM Watson, and developed with Python Fast API and Kafka hosted on Linux Ubuntu Server with Docker and Kubernetes using Linode.
An API to validate US patents. Devloped with Fast API, Redis, and a managed PostgreSQL database cluster.
Google Voice Assistant; developed with Dialogue Flow and a Python Flask webhook, hosted on Linux Ubuntu Server using AWS.
Speech and Text Machine Learning Applications; developed with Python TensorFlow.
Android apps on the google play store.
Maintain .NET 4.8 websites for clients, adding new features and resolving bugs.
Collaborate with a medium-sized team to build new websites using Vue.js/Nuxt and .NET Core.
Specialize in building communication services using Twilio and SendGrid.
Contribute to other projects by creating reusable services to streamline development.
Implemented performance optimizations, reducing load times and improving user experience across multiple client websites.
Led the production workflow as a software engineer, managing and greatly contributing to the python project processing United States patents.
Ensured that the production workflow consistently met our deadlines for deliveries and provided overnight fixes when needed to ensure the workflow was not interrupted.
Collaborated with colleagues in France, working on shifted hours, and traveled overseas twice for software training.
Created an API for validating US patents using machine learning to ensure that we were able to validate our work.
Lead daily standup / JIRA morning meetings with the Team and Directors.
Developed a large amount of Javascript features to meet client’s needs that I was able to hire a team and manager to further develop and maintain.
Developed a machine learning application using Microsoft LUIS and Python TensorFlow to analyze audio recordings, find discrepancies, and display them for quality assurance employees.
Developed a call center management portal with schedule and attendance features using ASP.NET and Azure.
Developed a machine learning application using Python Tensorflow with other NLP algorithms to analyze documents by the sentence and reorganize the data saving team members days of work.
Developed Python scripts for our San Fransico biology lab to help them capture and record species counts.
Developed a front-end site using Python Flask with Docker and Kubernetes to process imported data. That data is stored in a database and then is used by a Python Tensorflow machine learning application to process and provide an export for the user.
Developed numerous scripts using Python Pandas and Javascript across the company to save employees time.
Project Lead in company-wide mobile app rollout which entails inventory
management, system activation, software configuration to specific locations, project timeline management
and working closely with stakeholders to ensure the project is completed in a satisfactory and
professional manner.
Developed an Angular mobile application using Cordova for our
company-wide mobile app rollout.
C#, Python, Javascript
.NET (Blazor, Framework, Core), Python(Django, Flask, Fast API), JavaScript(React, Vue, Angular)
Azure, Linode, AWS, Google Cloud, Linux, Windows Server, ESXi Vmware, Firebase, Kubernetes, Docker, Kafka, Railway
SQL, Postgres, Mongo, MySQL, SQL Server, SQLite
TensorFlow, PyTorch, Scikit-learn, Keras, FastAI, OpenAI GPT, Hugging Face Transformers, IBM Watson, LUIS (Language Understanding), Dialogue Flow (Google)