Electrical Engineering student at Carleton University with expertise in C++, Python, and Java. Proven experience in developing modular software, circuit modeling, and neural network simulations. Committed to enhancing scalable systems and contributing to innovative data integration and analytics solutions. Recognized for strong analytical skills, effective teamwork, and a focus on quality.
Neural Network Circuit Modeling, ELEC 4709, Carleton, Python, PyTorch, Built and trained RNN/LSTM models to simulate high-frequency analog circuits., Conducted performance tuning and accuracy optimization using real-world datasets. Digital System Design with FPGA, ELEC 3500, Carleton, Verilog, Quartus, Designed and tested synchronous digital systems on FPGAs., Implemented logic synthesis, simulation, and timing constraints. C++ Application Development, ECOR 1606, Carleton, C++ Standard Library, OOP, Developed modular programs using recursion, pointers, and standard algorithms., Practiced dynamic memory allocation, classes, and file I/O operations. C & Java Programming, SYSC 2006, SYSC 2004, Carleton, Developed modular applications using recursion., OOP, and dynamic data structures. Circuit Simulation & Frequency Analysis, MATLAB, Multisim, Modeled analog/digital circuits for frequency-domain analysis., Conducted sensitivity analysis in simulation to observe real-world implications.