Heiner Castro

Background

About Heiner Castro

I am a highly skilled electronic engineer committed to artificial intelligence and machine learning excellence. I have a solid background in statistics, sensors, embedded systems, semiconductors, CMOS, and VLSI design, including FPGA and hardware description languages, HDL. I am pursuing a PhD in Technology while developing my thesis on predictive disease models using clinical cardiology data sets. In a recent project, I achieved a 92% accuracy in predicting cardiac events, surpassing previous studies. My interdisciplinary expertise enables me to translate academic research into practical, high-impact solutions for the industry. Technical Skills: Machine Learning | Research | VHDL | IoT | Neural Networks | VLSI Design | Python | Data Science | Deep Learning | Statistics | LabVIEW | FPGA | C | MATLAB | Verilog | AI | Cadence System Tools | R | Embedded Systems | Microcontrollers | Semiconductors | ModelSim | ASIC | CMOS | TensorFlow | Computer Vision | OpenCV | Digital Circuit Design | Digital Systems Design | Microelectronic Design | Sensor Design | Data Acquisition | AI loT | VLSI Design | ML models | Statistical Models | Stochastic Models | Probabilistic Models | Pattern Recognition | Linear Regression | Logistic Regression Potential Positions: Academic Researcher in Electronics and Embedded Systems | Data Scientist | Machine Learning Engineer | RTL Engineer | FPGA/VLSI Design | IoT Solutions Engineer | Digital Systems Engineer | University Professor | Graduate Quantitative Researcher