AI Software Architect and Robotics  • DeepSenseDev

San Pedro, CA

July 2023 - Present

At DeepSenseDev, I spearheaded the development of an innovative robotic solution designed to enhance triage procedures in emergency rooms. This project involved the integration of cutting-edge technologies, including the NVIDIA Jetson platform, advanced navigation algorithms with ROS 2 (nav2) in Python, and the Intel RealSense depth camera. My role encompassed the entire development lifecycle, from conceptualization to deployment.

Key Achievements:

• Robot Design & Integration: Successfully engineered and assembled the robot by integrating crucial components such as Arduino microcontrollers, a robust motor driver, and high-torque DC motors, ensuring seamless hardware-software interaction for optimal performance.

• Navigation & Control: Implemented sophisticated navigation algorithms using nav2 on the ROS 2 framework, leveraging Python's powerful programming capabilities. This enabled the robot to autonomously navigate through dynamic emergency room environments, adeptly avoiding obstacles and efficiently reaching designated points.

• Depth Sensing & Perception: Integrated the Intel RealSense depth camera into the system, which significantly enhanced the robot’s spatial awareness and obstacle detection capabilities. This feature was crucial for safe and reliable operation in crowded ER settings.

• Application in Triage: Customized the robot's functionalities to specifically address the needs of emergency room triage. Its ability to autonomously navigate and relay critical information expedited the triage process, making it more efficient and reducing response times.

• Testing & Optimization: Conducted rigorous testing in simulated ER environments to refine the robot's performance. This iterative process involved troubleshooting, tuning control parameters, and optimizing navigation algorithms to ensure reliability under real-world conditions.

• Collaboration & Leadership: Worked closely with healthcare professionals to align the robot's capabilities with practical ER requirements. My role involved not only technical development but also active collaboration and leadership, steering the project towards a product that truly resonates with the end-user needs in emergency healthcare.

This project not only honed my technical skills in robotics, computer vision, and autonomous navigation but also enriched my experience in developing real-world applications that have a tangible impact on healthcare efficiency and patient care.

AI Software Architect  • Automainz LLC

Corona, CA

February 2021 - July 2023

- Trained machine learning models to predict car market prices, improving the accuracy of price estimates by 30% and enabling Automainz to make data-driven pricing decisions. Utilized Python and TensorFlow to develop and fine-tune the models, incorporating data from various sources such as historical sales data, market trends, and vehicle features. Collaborated with the data science team to optimize the models' performance, resulting in more precise price predictions and increased customer satisfaction.

- Integrated llamas and GPT-3.5 into the car dealership platform, enhancing customer service by providing real-time assistance and personalized recommendations based on customers' preferences and browsing behavior. Leveraged natural language processing techniques and APIs to enable seamless communication between customers and the AI-powered system. Integrated llamas to aid in tasks such as scheduling test drives, answering frequently asked questions, and providing detailed vehicle information. The implementation of GPT-3.5 allowed for high-quality responses and improved customer interactions, leading to enhanced overall satisfaction and increased conversion rates.

- Actively participated in building the Automainz iOS mobile app using SwiftUI. Collaborated with a cross-functional team of designers and developers to design the user interface and implement the app's features. Utilized SwiftUI, an innovative framework introduced by Apple, to create a modern and user-friendly app interface. Employed various SwiftUI components such as lists, forms, and navigation views to enhance the overall user experience. Implemented functionalities such as vehicle browsing, price estimation, vehicle comparison, and personalized recommendations to empower customers with a seamless and efficient car buying experience.

In delivering these AI software development initiatives, I demonstrated strong expertise in machine learning, data analysis, and natural language processing. By successfully training machine learning models and integrating AI solutions, I significantly improved Automainz's car pricing accuracy and customer service capabilities.

StartUp  •  SomeAICompany

San Francisco, CA

January 2019 - February 2021

- Built food app prototype using augmented reality technology, so customer would be able to see the products in more detail.
- Built dating app not yet released to the AppStore using 3d scanning technology and augmented reality, this app is in testing stage with 45 users.
- Built Venus App developing augmented reality based props for content creators.