• I have worked with image/video processing using FPGAs and SoCs (design and verification).• Main tools: VHDL, Xilinx toolchain (Vivado, xSDK, VitisAI, Petalinux), ModelSim, VUnit, Python, Make, Docker and git.• I have designed, implemented and/or verified multiple (10+) intellectual properties (IPs).• I have worked on modifications, verification and bring-up of 9 automotive camera monitoring system (CMS) products.• I have developed workflow improvements… Show more • I have worked with image/video processing using FPGAs and SoCs (design and verification).• Main tools: VHDL, Xilinx toolchain (Vivado, xSDK, VitisAI, Petalinux), ModelSim, VUnit, Python, Make, Docker and git.• I have designed, implemented and/or verified multiple (10+) intellectual properties (IPs).• I have worked on modifications, verification and bring-up of 9 automotive camera monitoring system (CMS) products.• I have developed workflow improvements regarding dependency management, implemented linting flow and documentation systematization, and proposed simulation best practices in both HDL and VUnit.• I created a test bench with the Xilinx ZCU102 Evaluation Kit for Hardware In the Loop (HIL) testing with a focus on testing computer vision IPs through HDMI inputs and outputs.• I have developed several Docker containers for modernizing the build environment, updating the Xilinx toolchain from 2019 to 2022, and automating the documentation system.• I worked with Petalinux and contributed to its integration with all software build environments (APU, RPU, PMU).• I worked in system engineering for an automotive DVR using a Xilinx Zynq Ultrascale+ MPSoC, elaborating system requirements and system specification documents.• Due to an emergency demand, I traveled to Sweden for 2 months and contributed to the local team to find solutions and accelerate product development.• I performed failure mode and effects analysis (SFMEA) and contributed to meetings on computer vision and tracking algorithms. Show less

• Development of computer vision solutions for industrial applications on real-time embedded devices.• Main tools: Python with OpenCV, NumPy, scikit and git.• Project leadership with clients and their needs in first place.• Development of internal tools and innovative computer vision techniques. • Control and automation integration of MVISIA systems with the clients systems.

I conducted research on the topic of characterization of magnetic bimetallic nanocatalysts used in alcohol oxidation; I presented the results of my research at SIICUSP - International Symposium of Scientific Initiation of São Paulo University.