Leonard Dieguez
About
Leonard Dieguez is from San Diego, California, United States. Leonard is currently Founder at Koliber Engineering, located in San Diego, California, United States. Leonard also works as Co-Founder at Koliber Biosciences, a job Leonard has held since Mar 2014.
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Leonard Dieguez's current jobs
Sr Principal Digital Design FPGA Architect and Systems Engineer developing cutting edge technology including: Machine Learning Models, Baseband Digital Signal Processing, Software Defined Radio (SDR), high power servo motor control, custom electronics, FPGA logic design and FPGA SoC Design, signal integrity, Verilog and VHDL design, All Digital Phase Locked Loop, Behavioral Models using Octave, Matlab and Python. Technical Experience: •Software Defined Radio (SDR) •DSP: Baseband signal processing, waveform model development using Matlab, Simulink and Python. •Alternative Position Navigation Time (APNT) •Digital Design: Verilog, VHDL and ModelSim, XSIM, FPGA Design implementation in Xilinx, Altera and Lattice •SI Tools: Sigrity PowerSI, HFSS (arbitrary 3D), SIwave, Ansoft designer with Nexxim, Mentor Hyperlynx. •Servo Development: 3 phase brushless motor control •Power Integrity and Power Delivery Networks: Low Voltage high speed switching power supplies, Programmable Power supplies, time and frequency domain analysis and simulation •Analog design: High side current sensing, low side current sensing, ADC / DAC interface, design; PLL use and design. Power supply, design and analysis , Giga-bit signaling design and analysis.
About Koliber Biosciences: A Biotechology innovator with over 15 years of experience in several areas of science including synthetic biology, microbiome and machine learning. Exceptional track record in leading multidisciplinary teams in early stage start-ups and established companies. Passionate about bringing creative solutions to human health through data driven biotechnology. Core competencies of KoliberBio: • Synthetic biology - genetic tool development, genome sequencing, genome editing, metabolic pathway optimization, culture of various microbes • Deep learning - convolutional neural networks, deep neural networks, data augmentation, digital pathology image analysis • Data science and machine learning - data wrangling, advanced modeling, visualization, statistics, design of experiments • Start-ups - establishment of low cost wet-lab capabilities and training of personnel