I design intelligent systems at the intersection of hardware and data — from embedded circuits to machine learning pipelines. Turning raw signals into meaningful insights.
About Me
I'm a passionate electronic engineer with a deep interest in data science and machine learning. My work bridges hardware systems and software intelligence — whether that's designing PCBs, building sensor networks, or developing predictive models.
I love tackling complex, real-world problems that require both analytical rigor and creative engineering thinking. From signal processing to deep learning, I'm always exploring the edges of what's possible.
Skills & Tools
Electronics
Data Science
Projects
A selection of personal and academic projects across electronics, IoT, and machine learning.
IoT device that reads real-time household power consumption and sends data to a cloud dashboard using MQTT protocol and Raspberry Pi.
Machine learning pipeline using sensor time-series data to predict equipment failure in industrial settings with 92% accuracy.
Designed and deployed a low-power multi-node sensor network for environmental monitoring using LoRa communication modules.
Convolutional neural network trained to classify ECG signals for cardiac anomaly detection using PyTorch and spectrogram features.
Designed a PLC-based control system for a conveyor belt sorting mechanism with sensor feedback and SCADA monitoring integration.
End-to-end data pipeline with real-time visualization dashboard aggregating sensor data from multiple IoT nodes using Grafana and InfluxDB.
Get in Touch
Whether it's a research collaboration, freelance project, or full-time opportunity — I'd love to hear from you.
Message me on LinkedIn