“From algorithms to silicon — building efficient intelligent systems.”
Research-driven expertise spanning machine learning, embedded systems, and mixed-signal hardware design for resource-constrained computing.
Technical Capabilities
Programming & Scientific Computing
Python (NumPy, Pandas, OpenCV, Scikit-learn, Matplotlib, PIL, NLTK), MATLAB, C/C++, Verilog, SystemVerilog.
Machine Learning & Neuromorphic Frameworks
PyTorch, TensorFlow, Keras, SNNtorch, Nengo.
Hardware Design & Simulation
Cadence, HSPICE, Simulink, Design Compiler; mixed-signal circuit validation and characterization.
Embedded Systems & Industrial Automation
PLC (Allen Bradley), Arduino, PIC microcontrollers, Raspberry Pi, vision camera integration, real-time data acquisition systems.
Workflow & Development Environment
Linux environment, Git version control, Bash scripting.