Hire Brian A. - Lead Software Engineer

Main technologies

Cloud, Modern Frameworks and Mobile Platforms
9 years
TypeScript
2 Years
C#
3 Years
JavaScript
2 Years

Additional skills

Experience Highlights

Awaken Tek - React / Solidty

I developed a React/Solidity application for the Awaken Mushroom Incubator. The primary objective of the project was to create an intuitive and feature-rich app that allows users to control essential environmental parameters of the mushroom incubator, including lighting, humidity, temperature, and fresh air exchange. Key Project Details: Client: Awaken Mushroom Incubator Technologies: React, Solidity Duration: 6 Months Role: Full-stack Developer Project Description: The Awaken Mushroom Incubator is a cutting-edge facility for cultivating mushrooms. However, to optimize the growth conditions, it requires precise control over various environmental factors. To address this requirement, I developed a React/Solidity application that empowers users to monitor and manage the incubator with ease. Key Features and Functionality: User Interface: Created a user-friendly interface with an intuitive design, ensuring a seamless user experience. Environmental Control: Implemented controls to adjust lighting, humidity, temperature, and fresh air exchange levels, allowing users to optimize the growing conditions for different types of mushrooms. Real-time Monitoring: Integrated real-time data visualization, enabling users to monitor the current environmental conditions inside the incubator. Notifications and Alerts: Implemented a notification system to alert users in case of any significant deviations from the desired parameters, ensuring prompt action and preventing potential damage to the mushrooms. User Management: Developed user authentication and authorization functionalities to ensure secure access to the application, allowing multiple users with varying roles and permissions. Challenges and Solutions: During the project, I encountered several challenges, including coordinating the React frontend with the Solidity smart contracts for controlling the physical incubator. To overcome this, I implemented a secure and efficient communication protocol between the frontend and the blockchain network, ensuring reliable data exchange and accurate control over the environmental parameters. Outcome and Impact: The developed React/Solidity app successfully addressed the requirements of the Awaken Mushroom Incubator. It provided the facility with a comprehensive control system, enhancing the efficiency and productivity of mushroom cultivation. The app's user-friendly interface and real-time monitoring capabilities allowed users to optimize the environmental conditions for mushroom growth, resulting in improved yields and reduced losses. Conclusion: The React/Solidity app developed for the Awaken Mushroom Incubator showcased my proficiency in web development, particularly in working with React and integrating blockchain technology. This project demonstrated my ability to design and implement robust solutions to complex problems while ensuring a smooth user experience. I am proud of the outcomes achieved and excited to continue leveraging my skills in future web development endeavors.

Clear2 COVID-19 Solution - React, React Native, Django

The project involved the maintenance and support of React, React Native, and Django applications developed to facilitate the Clear2 COVID-19 screening solution. This innovative app enabled employees to complete health screenings at home, contributing to the prevention and control of COVID-19 transmission. Responsibilities: Application Maintenance: Oversaw the continuous maintenance and performance optimization of the React, React Native, and Django applications. This included addressing bugs, errors, and issues that arose, ensuring the smooth functioning of the app and providing a seamless user experience. Bug Fixing and Troubleshooting: Conducted comprehensive debugging and troubleshooting to identify and resolve issues encountered by users or detected during testing. Collaborated with the development team to implement timely fixes, minimizing disruptions and ensuring the app's reliability. Feature Development: Worked closely with stakeholders to implement new features and enhancements based on user feedback and evolving requirements. Collaborated with the development team to translate user needs into technical specifications and implement the necessary changes in the React, React Native, and Django applications. Code Review and Quality Assurance: Conducted thorough code reviews to ensure adherence to coding best practices, maintain code quality, and minimize technical debt. Performed comprehensive testing to verify functionality, usability, and compatibility across various platforms and devices. Collaboration and Communication: Actively participated in team meetings, providing input for project planning and strategy. Collaborated with cross-functional teams, including designers, product managers, and QA testers, to ensure effective coordination and alignment throughout the development cycle. Achievements: Improved Public Health Measures: Through maintaining and enhancing the Clear2 COVID-19 screening solution, contributed to the prevention and control of COVID-19 transmission by enabling employees to complete health screenings at home. This reduced the risk of virus spread in workplaces and supported public health measures. Enhanced User Experience: Implemented new features and improvements based on user feedback, resulting in a more intuitive and user-friendly app. These enhancements increased user satisfaction and adoption, promoting widespread usage of the Clear2 COVID-19 screening solution. Robust Application Performance: By addressing bugs and optimizing performance, ensured the reliability and stability of the React, React Native, and Django applications. This resulted in a seamless user experience, minimizing disruptions and ensuring the app's availability when needed. In summary, the project involved maintaining and supporting React, React Native, and Django applications for the Clear2 COVID-19 screening solution. By actively contributing to its development and maintenance, I helped enable employees to complete health screenings remotely, thereby supporting the prevention and control of COVID-19 transmission.

Arcadia.io Vista - Node, AWS, Terraform

I successfully contributed to a healthcare data platform project at Arcadia.io, focusing on the maintenance and support of HIPAA compliant applications. The project involved working with a diverse tech stack, including React, Node.js, Terraform, and AWS Quicksight. Responsibilities and Achievements: Maintenance and Enhancements: I played a key role in maintaining and enhancing the React and Node.js applications within the Arcadia.io healthcare data platform. This involved troubleshooting issues, implementing bug fixes, and implementing new features to improve the platform's functionality. HIPAA Compliance: Ensuring the platform's compliance with the Health Insurance Portability and Accountability Act (HIPAA) was a top priority. I actively participated in implementing security measures, including data encryption, access controls, and auditing mechanisms to safeguard sensitive patient information. Infrastructure Management: I worked extensively with Terraform to manage the infrastructure as code (IaC) for the project. This included provisioning and configuring AWS resources, such as EC2 instances, RDS databases, and S3 buckets, while adhering to best practices for scalability, availability, and cost optimization. Data Visualization: Leveraging AWS Quicksight, I developed visually appealing and insightful dashboards to help healthcare professionals gain valuable insights from the data stored within the platform. This involved creating interactive visualizations, implementing data filters, and optimizing query performance. Key Skills Utilized: React: Leveraging React, I contributed to the front-end development, ensuring a seamless user experience and intuitive interfaces. Node.js: I worked on the back-end implementation using Node.js, enabling efficient data processing and API integrations. Terraform: With Terraform, I managed infrastructure resources in a scalable and reproducible manner, reducing operational complexity. AWS Quicksight: Using AWS Quicksight, I developed interactive dashboards to provide actionable insights from healthcare data. Overall, my involvement in the Arcadia.io healthcare data platform project demonstrated my ability to work within a HIPAA compliant environment, collaborate with diverse technologies, and contribute to the maintenance and enhancement of a critical healthcare system.

First Financial Bank - C# / ,net

The project I undertook was the development of a C#/.Net service that streamlined the loan application process by converting form entries into PDFs and submitting them to relevant institutions for risk assessment. The primary objective was to automate the application submission and risk evaluation process, making it more efficient and accurate. To achieve this, I utilized the C# programming language along with the .Net framework to create a robust and scalable web application. The application allowed users to fill out loan application forms online, providing all the necessary information required for the evaluation process. One of the key features of the service was the integration with reputable institutions such as Lexus Nexus. By leveraging their risk assessment capabilities, the service was able to analyze applicant data and determine their risk level effectively. This integration enhanced the accuracy and reliability of the loan evaluation process. Furthermore, the service included a PDF generation functionality. Once the user completed the application form, the service converted the form entries into a professionally formatted PDF document. This not only ensured consistency but also provided a standardized format for easy submission to the institutions. Throughout the development process, I focused on code quality, maintainability, and scalability. I implemented industry best practices and design patterns to ensure a clean and modular codebase. Additionally, I conducted rigorous testing to identify and fix any potential bugs or issues, ensuring a robust and stable application. In conclusion, this web development project involved creating a C#/.Net service for accepting loan applications. By integrating with renowned institutions such as Lexus Nexus, the service streamlined the risk assessment process and improved the efficiency of loan evaluations. The PDF generation feature provided standardized documentation for easy submission. Overall, this project showcased my proficiency in C#/.Net development, API integration, and attention to detail in delivering a reliable and user-friendly application.

Vector Center - Node / Azure / AzureML

In this project, I developed an Azure machine learning pipeline focused on predicting droughts using data collected from a Node.js social media platform scraper. The scraper collected data from popular social media platforms like Twitter and Facebook, providing a valuable source of real-time information and insights. The main objective of the project was to leverage machine learning algorithms and Azure's robust infrastructure to create an accurate and efficient prediction model for drought occurrences. By harnessing the power of social media data, we aimed to enhance traditional drought prediction methods and provide more timely and precise information to relevant stakeholders. To achieve this, I first designed and implemented a web scraper using Node.js to gather relevant posts, comments, and other social media interactions related to droughts. The scraper was specifically tailored to collect data from Twitter and Facebook, considering their extensive user base and popularity for sharing real-time updates. Once the data collection process was established, I utilized Azure Machine Learning to build a predictive model. This involved preprocessing the collected social media data, performing feature engineering, and training various machine learning algorithms. The pipeline included data cleaning, normalization, feature extraction, and model training steps, allowing for an automated and reproducible workflow. Furthermore, I implemented advanced techniques such as natural language processing (NLP) to analyze the textual data from social media posts and comments. This allowed us to extract relevant features and sentiments associated with droughts, providing valuable inputs for the predictive model. The final step of the project was deploying the machine learning pipeline on Azure, enabling easy scalability and integration with other systems. This allowed users to access the model via an API, making it convenient for stakeholders to obtain real-time drought predictions based on the latest social media data. The project not only showcased my technical skills in web development, machine learning, and Azure, but it also demonstrated my ability to tackle real-world challenges in environmental data analysis. By developing an innovative solution for drought prediction using social media data, I contributed to the advancement of data-driven decision-making in the field of environmental science. Overall, this project highlights my expertise in web development, data collection, machine learning, and cloud technologies, positioning me as a valuable candidate in the job market for positions related to data science, web development, and environmental research.

Education

Johnson and Wales University
Bachelor of Science (BS) in Software Engineering
2011-01-01-2015-01-01

Languages

English

Personal Accounts

Github

Brian A. looks like a good fit?

Brian A. Cloud, Modern Frameworks and Mobile Platforms

Cloud, Modern Frameworks and Mobile Platforms

TypeScript

C#

JavaScript