Kane Rodriguez

Kane Rodriguez

$70/hr
I bring value to businesses looking to integrate AI and Machine Learning into their applications.
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
31 years old
Location:
Chicago, IL, United States
Experience:
4 years
github.com/kanerodriguez linkedin.com/in/kanerodriguez K​ANE​ R​ODRIGUEZ --kanerodriguez.com E​DUCATION Carbondale, IL Southern Illinois University Carbondale Fall 2015 – May 2017 ● B.S. in Electrical and Computer Engineering, May 2017. GPA: 3.96/4.00 ● Programming Coursework: Cloud Computing, Software Game Development, Multi-agent Systems ● EE Coursework: Computer Arch., VLSI Design, Signal Processing E​MPLOYMENT Software Engineer Arturo.ai July 2019 – Present ● Architected and managed several model microservices for a POC request for a $2 million contract ● Used multiprocessing to improve building segmentation model validation times from 6 hours to 30 minutes ● Decreased roof attribute model processing time from 1 minute to 12 seconds by subdividing a large image and running multiple predictions in parallel ● Collaborating with CSO, CTO, and technical staff to redesign current residential API backend ● Leveraging knowledge​ in Tensorflow, Kubernetes, Helm, Docker, Python, Computer Vision, and Jenkins X Freelance Software Engineer Kane Rodriguez August 2018 – July 2019 ● Developed a real-time (30 FPS) index finger tracking application for use in assistive technologies ● Utilized Tensorflow Lite GPU Delegate to decrease index finger detection model processing time by 89% ● Implemented a location-based lost pets social platform using NoSQL database and GPS API’s with Flutter ● Delivered a financial forecast model alongside a custom model training pipeline with cloud-based hyperparameter tuning and distributed training support ● Leveraged knowledge​ in C++, Python, Java, Dart, Git, Tensorflow, Proposal Writing, and GCP’s ML Engine Software Engineer The Boeing Company July 2017 – August 2018 ● Designed and developed a C++ based graphical user interface that replaced more than 20% of the hardware on the F15C Maintenance Trainer and interfaced with legacy cockpit simulation models ● Extended the F16 Instructor Operator Station (IOS) to support a 3D view of a pilot’s flight simulation scenario ● Managed a team of four engineers through GitLab issue tracking, daily standups, and maintained weekly task lists and goals in order to meet project deadlines ● Leveraged knowledge​ in C++, JavaScript, Python, QML, Git, Qt 5, CMake, QMake, and OpenGL T​ECHNICAL​ E​XPERIENCE Projects ● Boring Logging ​(2018). Co-created a voice-based application to aid Civil Engineers with on-site ground sample analysis. (JavaScript, React) ● SIUC Robotics Competition ​(2017). Developed the motor control system, wireless communication system, and user interface of a multi-terrain robotic vehicle. (C++, JavaScript, Python, Node.js) ● Simple IoT ​(2017). Created a wireless sensor network platform comprised of ultra-low-power microcontrollers and a corresponding network sensor monitoring tool for potential smart home applications. (C, Firebase, JavaScript, Node.js, MSP430-F2274 Microcontroller) th​ ● International Design Automation Conference ​(2017). Awarded 5​ place for the design of a door-mounted people counting system with low-power FPGA devices. Presented in Austin, TX. (Verilog, JavaScript, Node.js) ● Automated Argumentation of IoT ​(2017). Modeled autonomous vehicle collaborations using social abstract argumentation, published the framework, and presented at ICOMP in Las Vegas, NV. (Netlogo, LaTeX) Skills ● Software: ​(proficient): Python, Git (familiar): C++, JavaScript, C#, Dart, Java, C, Tensorflow, React
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