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Engineered software and drove product team, technical team, and worked closely with founders to deliver software product that runs on Nvidia GPU hardware. A combination of computer vision and LLM development with cloud, UI, remote security management, and real-time messaging from edge IoT devices to cloud infrastructure.

Successfully completed a one-year contract to develop a new product, a revolutionary multi-camera edge computation solution designed to detect and track perpetrators in security settings. Led the redesign and architecture of the Video Management System (VMS), ROSA 4.0, incorporating cutting-edge technologies for a robust product release to 500+ devices across the USA. Key Highlights:Developed Gstreamer C++ pipelines enabling real-time AI inference and tracking on GPU-powered edge devices (Nvidia Jetson), utilizing AI models such as Yolov, Retinanet and SSD, within the NVIDIA Deepstream framework.Designed and managed engineering development of a fully scalable, dockerized, and multithreaded C++ app for the company's backend that used Kafka as the messaging fabric, ensuring seamless operation on both cloud servers and over 500 edge devices.Architected applications with multi-layer self-healing properties (application, docker, hardware), achieving 99% availability of edge nodes and enhancing system resilience.Implemented a robust CICD framework using Azure DevOps, facilitating the build and testing of GPU-intensive applications, ensuring seamless integration and deployment.Integrated elastic stack in the cloud for logging and state messages, providing valuable insights into the health and performance of edge devices and supporting servers over time.Designed supporting cloud infrastructure and supervised development of Kubernetes for server side applications, ensuring high availability, fault tolerance, and scalability for the entire system.Deployed ROSS which is an on-premise server solution with GPU acceleration that integrates a client's existing camera network and provides firearm detection for up to 30 cameras.

Led the creation of an Industry 4.0 IoT product, the Video and Acoustics Analytics System, transforming a dental CNC milling machine into a smart device. The project aimed to prevent machine failures and optimize tool replacement through intelligent video and acoustic analysis, achieving a significant leap in operational efficiency and maintenance predictability.Key Highlights:Architected and implemented an Intelligent Video & Acoustic Analytics System, reducing machine failure events and enhancing the predictability of tool replacement on an industrial micro CNC milling machine.Implemented acoustic anomaly detection using Nvidia Deepstream and Nvidia Jetson, enhancing the system's ability to identify and address issues for machine sparks, fire, excessive tool wear, and broken tools.Directed a university development partnership that delivered AI models (computer vision and acoustic) as well as carbon based 3D printed materials with electro-mechanical properties to enhance measurement systems.

In my role as a junior to mid-level software engineer, my responsibilities include architecting and developing sophisticated computer vision solutions, particularly a streaming platform on embedded Linux devices with GPU acceleration for real-time inference and data fusion. I played a critical role in securing a $8.9 million contract for the company through the development of groundbreaking technology. This included leading the creation of full-stack applications, neural network analytics pipelines, and DevOps infrastructure, while also providing expertise in geodetic calculations and avionics-based computer vision.Key Highlights:Pioneered the development of cutting-edge technology, building systems from the ground up and establishing a robust technology foundation for the team's future growth, alongside a data scientist.Single-handedly created a comprehensive full-stack software, neural network video analytics pipelines, and robust self hosted DevOps infrastructure (Gitlab CiCd).Led the architectural and algorithmic design for a KLV encode/decode schema compliant to STANAG 4609 & MISB 0601 for avionics platforms, incorporating C/C++ (CUDA GPU programming) within a video streaming architecture (Gstreamer).Applied knowledge of geodesy to create WGS84 compliant calculations to enhance avionics-based computer vision localization system.Developed custom-coded computer vision infrastructure using Python, C/C++, Gstreamer, and Kafka.Created custom neural network parser libraries for real-time video streaming, showcasing proficiency in applying detection and segmentation AI models, and demonstrated familiarity with neural network model conversion libraries and inference validation within Nvidia's SDK.

Mid-level professional experience optimizing the backend of high-traffic e-commerce websites, particularly during peak seasons like Christmas, Black Friday, and product releases - like an IPhone release. Experienced in collaborative, agile team environments, contributing to the seamless performance and reliability of the platform.Key highlights:Engineered and fine-tuned backend systems for a high-volume e-commerce website, ensuring optimal performance during peak sales periods, including Christmas, Black Friday, and product releases.Contributed to an agile team setting, where collaboration and adaptability were key, resulting in improved system efficiency and responsiveness.Successfully executed server-side operations, creating a scalable and resilient infrastructure that met the dynamic demands of the e-commerce platform within a collaborative agile framework.

As President of a software start-up, honed effective communication skills through collaborative engagements with co-founders, university research faculty, technical advisers, and business executives. I showcased expertise in employing advanced data science techniques for data preparation and labeling, while also playing a crucial role in crafting a machine learning product specifically designed for the oil and gas industry.Key Highlights:Led the strategic vision for technology, steering its trajectory to develop and deliver a client-centric KPI (key performance indicators) product with precision and impact.Spearheaded data-driven decision-making by expertly employing pandas, numpy, and scikit-learn libraries, demonstrating proficiency in data cleaning, processing, and integration to enhance overall operational efficiency.Deployed light-weight machine learning classification system in the backend of a full stack application that used React, Docker, MongoDB, and Redis to provide operational performance metrics.

Dynamic electrical engineering intern at Ballard Power Systems in 2017, contributing significantly to the fabrication, testing, and assembly of a new product line of 200kW fuel cell modules. Proactively maintained schematic documentation under the guidance of P.Eng and EIT, while also leading data analysis in python/excel to test and validate needs for the engineering team for new designs, in-situ circuit testing, and ongoing reliability assessments.Key Highlights:Designed and delivered circuit board to improve in-situ testing and permit engineers to snoop live message protocol, measure control voltages, and detect electronic failures.Gained extensive hands on experience with electronic and electrical components, as well as software network devices and test instruments that capture test data from physical components.

Experienced language instructor and curriculum developer renowned for driving significant growth in educational settings. At Sprott Shaw Community College, successfully pitched and implemented an expanded curriculum, resulting in an impressive 30% increase in branch revenue a 3 year period.Key Highlights:Ran language classes independently in high schools, private tutoring, and corporate workplaces, fostering a dynamic learning environment that led to notable improvements in student performance.Contributed for 2 years at Sprott Shaw Community College, specializing in curriculum development, with a focus on creating innovative and results-driven learning materials.Directed immersive language studies in Brazil for 6 months, impacting over 100 high-level executives by providing tailored language training that significantly enhanced their communication skills.Successfully presented persuasive sales pitches to instructors and directors, effectively communicating the unique value proposition of language programs and driving enrollment growth.Established and expanded a small business, delivering evening and night classes to university transfer students, achieving remarkable results in student engagement and academic success.