I am an undergraduate student interested in connecting hardware with software. I enjoy building things that bridge the physical and digital worlds—from assembling circuits and programming microcontrollers to routing telemetry and designing mobile dashboards.
Currently focused on learning practical Embedded/Hardware engineering, Data Science basics, and TinyML.
Microcontrollers & Hardware
IoT & Telemetry
Backend & Data
Frontend & Mobile
Infrastructure & Cloud
- Hardware Development: Prototyping on breadboards, working with interfaces (I2C, SPI, 1-Wire, UART), reading sensors, and diving into PCB design (Altium/KiCad basics).
- TinyML & Data: Completed basic Data Science tracks on Kaggle; currently exploring how to run lightweight ML models directly on microcontrollers.
- Mobile Development: Building reactive UIs and IoT clients using Flutter (BLoC/Cubit).
- Backend & Python: Writing scripts, processing telemetry, and understanding 3-tier architectures, Kafka streams, and Docker environments.
- SmartStop — A 1.5-year team project developing a smart infrastructure and control system for e-scooters. Involved hardware prototyping, component communication, and basic software logic (3 MVP iterations).
- Elevator Monitoring System — An ESP32-based node for air quality (MQ-135) and motion tracking. Features dual-level MQTT telemetry publishing to Node-RED, InfluxDB, and Grafana / Ignition SCADA.
- AquaAssistant (Smart Feeder) — Autonomous ESP8266 device with DS18B20 temp sensor, ADC water level reading, and PWM servo control, fully synced via Firebase RTDB.
- IoT Mobile Dashboard — real-time monitoring system developed with Flutter (BLoC).
📌 Repositories are pinned below.