Robyn Bradley
Senior Software Engineer
****************@*****.*** +1-214-***-**** Mount Dora, FL,32757 http://www.linkedin.com/in/robyn-bradley-07238a338 PROFILE
Senior Software Engineer with 13+ years of experience designing and developing high-performance software for real-time systems, embedded platforms, computer vision, AI, protocol engineering, and blockchain technologies. With over two decades of expertise in C/C++ programming, I have a proven track record of building efficient, scalable solutions that meet demanding technical requirements. As an International Olympiad in Informatics (IOI) medalist, I bring a deep knowledge of data structures and algorithms, enabling me to solve highly complex systems with precision and efficiency. My work focuses on creating low-latency, high-throughput applications optimized for real-time data processing, particularly in resource-constrained and mission-critical environments, ensuring reliability and responsiveness even under critical conditions.
I have a strong background in algorithm design, optimization, debugging, and performance tuning, with additional expertise in protocol engineering and parallel computation to further enhance system efficiency. My experience extends to secure system development, including cryptography, secure data transmission, access control, and vulnerability management. I have architected microservices, distributed systems, and containerized solutions that align with business objectives and performance standards. My extensive knowledge in cryptography, mathematics, and physics fuels my passion for applying these disciplines to solve complex engineering problems. Enthusiastic about emerging technologies such as AI and blockchain, I excel at fostering collaboration across teams and communicating effectively to drive successful project outcomes.
PROFESSIONAL EXPERIENCE
Mayo Clinic
Senior Software Engineer Sep 2020 – Present Rochester, MN A seasoned software engineer with expertise in building high-performance, scalable systems, I have designed and implemented solutions across domains such as AI, real-time video streaming, data processing, and healthcare systems. My experience includes backend engineering with Rust and C++, protocol engineering for optimized data communication, and leveraging cutting-edge technologies like WebRTC, gRPC, and Docker/Kubernetes for reliable, low-latency interactions. I also specialize in full-stack development, delivering secure and responsive web applications while ensuring HIPAA compliance and system performance through advanced optimization techniques. Designed and implemented AI assistant using WebSocket, integrating multiple chatbot frameworks into a cohesive proxy system for real-time user engagement. Leveraging AI to verify and cross-check multiple results, the system ensured accurate, context-aware responses, enhancing decision-making and user experience.
Engineered real-time video streaming capabilities using GPU acceleration and C++ with WebRTC protocol, achieving low-latency video delivery specifically optimized for telemedicine. This implementation significantly enhanced platform performance and responsiveness, ensuring smooth, high- quality video for patient consultations.
Engineered high-performance backend services using Rust for intensive data processing, ensuring minimal latency and maximum throughput. Integrated seamlessly with various healthcare systems via gRPC and RESTful APIs to facilitate efficient and secure data exchanges across multiple platforms. Designed and implemented a fault-tolerant, distributed system architecture using C++, Docker, and Kubernetes to ensure efficient orchestration and high reliability. Applied advanced protocol engineering principles to optimize data communication, enhancing the efficiency of custom network protocols and reducing latency in inter-service communication. Integrated secure and reliable data transmission protocols, improving the overall system's responsiveness and consistency across distributed components.
Leveraged advanced C++ optimization techniques, including memory management, multi- threading, and concurrency handling, to significantly enhance system performance. Reduced data processing time by 23% and achieved a 29% performance improvement, leading to faster response times and higher throughput. Focused on improving system availability and reliability, resulting in a 17% boost in overall system performance.
Developed full-stack web applications, leveraging JavaScript, Node.js, React, and MongoDB to deliver dynamic, responsive, and secure solutions. Focused on building scalable, maintainable systems and improving user experience through performance optimizations and seamless integration across the stack.
Implemented web security best practices including secure authentication, authorization, and protection against common vulnerabilities, ensuring high levels of data protection and HIPAA compliance. Home Depot
Senior Software Engineer Jan 2017 – Aug 2020 Atlanta, GA As a seasoned software engineer with a focus on building high-performance, secure systems, I have successfully architected and optimized solutions for e-commerce platforms, leveraging Python, C++, Kafka, and machine learning to enhance scalability, real-time data processing, and security. My work includes the development of microservices-based architectures, blockchain-inspired database security systems, and personalized recommendation engines. I have also implemented advanced cryptographic techniques and Role-Based Access Control (RBAC) to ensure compliance with industry standards, including GDPR and PCI-DSS. Through these efforts, I have significantly improved system performance, customer engagement, and data protection, delivering reliable and high-performing platforms. Architected and developed a high-availability microservices-based architecture for the e-commerce platform, utilizing Python for backend services and C++ for performance-critical components. Ensured efficient handling of high traffic volumes and robust transaction processing during peak periods, optimizing latency and system reliability.
Optimized system performance by refining backend services using Python’s concurrency features and C++ for high-throughput tasks, improving load handling by 40% during peak shopping periods. C++ was leveraged for real-time data processing and other performance-critical components. Developed a blockchain-inspired server database security system, utilizing cryptographic hash links to enhance data integrity and detect tampering. The system tracked every modification to the database, providing robust traceability and ensuring data immutability to prevent unauthorized manipulation and maintain system trustworthiness.
Developed a personalized recommendation engine for an e-commerce platform, leveraging Python and machine learning algorithms to provide tailored product recommendations. Utilized libraries such as scikit-learn for collaborative filtering and TensorFlow for deep learning-based approaches, enhancing user experience and increasing product discovery, which led to improved conversion rates and customer engagement.
Implemented real-time communication for order status and inventory updates by integrating Kafka and other message brokers, enabling seamless communication between services. Reduced latency and ensured consistent data synchronization across multiple systems, optimizing real-time decision-making. Developed and integrated advanced cryptographic techniques and Role-Based Access Control
(RBAC) to secure sensitive customer information and ensure compliance with industry standards, such as GDPR and PCI-DSS, safeguarding customer data and enhancing system security. Digital IQ, Inc
Software Developer II Dec 2013 – Dec 2016 Salt Lake City, UT As an experienced software developer with a focus on high-performance, real-time systems, I have successfully designed and implemented innovative solutions across diverse domains, including 3D animation generation, motion synthesis, complex physical simulations, and secure RFID-based identification. My work spans the development of interactive simulations using advanced technologies such as C++, DirectX, CUDA, and OpenGL, delivering efficient, scalable systems for applications in healthcare, motion analysis, and system optimization. I have a strong track record of improving system performance through optimization techniques and leveraging cutting-edge technologies to ensure seamless real-time data processing, high- quality visualizations, and secure interactions.
Created a 3D animation generation system from user input, automating the transformation of data into interactive, visually engaging animations. The system was specifically designed to simulate the effects of Parkinson’s disease treatment on patient movement and coordination. Leveraged geometric algorithms and 3D data structures to model complex movements and visualizations, while utilizing DirectX and C++ for high-performance rendering and real-time interactivity, ensuring smooth and accurate simulations.
Developed a motion synthesis system using motion capture (mocap) data, creating realistic animations for interactive applications. Utilized C++ for efficient data processing, DirectX and OpenGL for real-time rendering, and Kinect or Vicon for mocap data acquisition. Incorporated inverse kinematics and geometric algorithms to refine and adapt animations for various character models, ensuring natural movement and high-quality visual output. Simulated complex physical phenomena using Monte Carlo and finite element methods, applying parallel computational techniques for accurate modeling and analysis. Integrated dynamics simulations to model real-time physical behaviors, leveraging C++ for high-performance computation, CUDA for GPU acceleration, and OpenMP for multi-threading to ensure scalability and efficient handling of large- scale simulations.
Engineered an RFID-based identification system on STM32F407 using embedded C, to authenticate doctors, nurses, patients, and equipment. Integrated a robust verification mechanism to counteract RFID cloning vulnerabilities, significantly enhancing security and reliability within the healthcare environment.
Freelancer
Part-time Software Developer Jan 2011 – Dec 2013 Remote As a freelance developer, I worked on a diverse range of software development projects for various clients, gaining hands-on experience in programming and problem-solving within a remote work environment. During this time, I built a solid foundation in computer vision and deep learning, while refining my ability to deliver tailored, efficient solutions across different industries. Designed and implemented a small-area fingerprint recognition system on STM32F107 using embedded C, overcoming the challenge of creating a robust recognition system without relying on computer vision or machine learning. Leveraged algorithm optimization to ensure high accuracy with limited processing power and memory, providing fast and reliable fingerprint recognition in embedded environments.
Engineered an object detection and motion tracking system, utilizing advanced image segmentation, signal processing, and feature matching algorithms with C++ and OpenCV to achieve robust and real- time computer vision capabilities. Applied HOG (Histogram of Oriented Gradients) and SIFT (Scale- Invariant Feature Transform) for efficient object detection and tracking in dynamic environments. Developed a fake fingerprint detection system using deep learning techniques with a Convolutional Neural Network (CNN), C++, and Caffe, applying cutting-edge AI techniques to enhance security. The system accurately identified fraudulent fingerprint attempts, improving authentication security in sensitive environments.
Developed Windows applications using C++ with Qt and MFC, focusing on high-performance UI development and seamless system-level integration. Integrated platform-specific features for efficient resource management, providing a smooth and responsive user experience. Built Android applications using Java on Eclipse, optimizing mobile interfaces for performance and ensuring compatibility across a wide range of devices. Utilized Eclipse for building and testing applications, ensuring high performance and stability. EDUCATION
Bachelor’s Degree, Computer Information Systems
University of Miami
2009 – 2013
SKILLS
Technologies
High-Performance Computing (HPC), Parallel Computing & Simulation: Experienced in parallel computing, multithreading, and concurrency management, with a focus on optimizing systems for high-throughput and low-latency performance. Skilled in computational modeling techniques, including Monte Carlo methods, finite element analysis (FEA), and computational fluid dynamics
(CFD), applied to real-world physical simulations and system optimizations. Algorithm Design, Optimization & Real-Time Data Processing: Strong background in designing and optimizing algorithms for complex, real-time systems, focusing on efficiency and scalability. Experienced in implementing GPU acceleration and multi-threading techniques for real-time data processing, ensuring low-latency and high-throughput performance for data-intensive tasks. Embedded Systems & IoT Development: Proven expertise in embedded systems and firmware development, particularly with STM32 microcontrollers and RTOS for real-time processing in resource-constrained environments. Skilled in designing and implementing communication protocols tailored for embedded systems, ensuring efficient data exchange between devices in IoT applications. Experience in optimizing protocol stacks for low-power, high-reliability communication in resource- constrained IoT environments.
System Architecture & Distributed Systems: Extensive experience in designing microservices-based architectures using Docker, Kubernetes, and Rust to create scalable, fault-tolerant systems. Expertise in protocol engineering for high-efficiency data communication across distributed systems, optimizing inter-service communication protocols to reduce latency and enhance reliability in cloud- native environments.
Cybersecurity, Cryptography & Compliance: Strong background in implementing cryptographic algorithms for securing data transmission through secure communication protocols. Experienced in developing and securing protocols for data integrity, including encryption, hashing, and blockchain- inspired techniques, ensuring compliance with security standards like PCI DSS, GDPR, and HIPAA. Machine Learning & Deep Learning: In-depth knowledge of AI-driven systems, leveraging frameworks like TensorFlow, Keras, and PyTorch to optimize models for embedded systems. Skilled in applying machine learning and deep learning techniques for applications such as object detection, biometric verification, and predictive analytics in real-time environments. Computer Vision & Image Processing: Proficient in computer vision technologies like OpenCV, Caffe, and TensorFlow to build systems for object recognition, motion tracking, and image segmentation. Skilled in applying AI techniques to enhance image processing capabilities, with a strong focus on real-time performance in embedded system firmware. Blockchain Development & Security: Expertise in developing decentralized applications (dApps) and smart contracts using Solidity and Web3.js. Knowledgeable in blockchain security practices, including cryptographic techniques and blockchain-inspired data integrity methods, ensuring secure transactions and data immutability.
Debugging, Problem-Solving & Optimization: Expertise in identifying and resolving performance bottlenecks through systematic debugging and profiling tools. Skilled in optimizing systems by eliminating inefficiencies in code, memory, and system design, ensuring better performance and stability across applications.
Programming Languages
Proficient: C++, Embedded C, Python, Java, Java Script Familiar: HTML/CSS, C#, Golang, Rust, Nim, Ruby, TypeScript, Solidity Libraries & Frameworks
CV & Machin Learning: OpenCV, Caffe, TensorFlow, Keras, PyTorch, scikit-learn Embedded Systems & IoT: STM32, RTOS, FreeRTOS, Keil, RFID Real-Time Data Processing: WebSocket, WebRTC, gRPC, Kafka, OpenMP, CUDA, OpenCL 3D Graphics: DirectX, OpenGL, Unity, CUDA
GUI Development: Qt (C, Python), MFC
Web: Django, Flask, Spring Boot, Next.js, Ruby on Rails, Node.js, React.js, Express, Vue.js, Angular.js, Bootstrap, RESTful APIs,
Database: SQL & NoSQL, MySQL, SQLite, PostgreSQL, Oracle, MongoDB, DynamoDB Blockchain: Solidity, Web3.js, Ethereum
Development Tools: Git, SVN, JIRA, Docker, Kubernetes, Jenkins, Visual Studio, Visual Studio Code, Eclipse, IntelliJ, Keil, PyCharm, Postman, Wireshark DevOps & CI/CD: Jenkins, Git, GitLab CI, Maven, Gradle, JIRA Cloud Services: Microsoft Azure (Azure Functions, Azure App Service, Azure Kubernetes Service, Cosmos DB, Blob Storage, Service Bus, Azure Active Directory), AWS (Lambda, S3, ECS, RDS)