I'm Athul S, an Electronics & Communication Engineer specializing in real-time embedded IoT systems (ESP32), bare-metal firmware (Embedded C/C++), Edge AI vision pipelines, and sensor telemetry.
Interactive demonstrations illustrating real-time FPGA state machine transitions, telemetry transit packets, and microwave antenna performance.
End-to-end telemetry system capturing live GPS feeds from onboard ESP32 modules, syncing with Firebase Realtime Database with refresh latency <5 seconds, rendered on cross-platform React Native + Leaflet maps.
Engineered 6 Verilog HDL modules: FSM state core, debounce filter, BCD converter, and 7-segment display driver on Xilinx Artix-7 Basys 3 board with response time <1s.
Designed an ultra-compact 2.5 × 2.5 cm microstrip patch antenna operating at 5.8 GHz for Vehicle-to-Vehicle (V2V) telematics. Simulated in Ansys HFSS with >85% radiation efficiency and <10 ms latency.
Continuous thermal acquisition system utilizing LM35 transducer + bare-metal ATmega328. Logged temperature every 10s with ±0.5°C accuracy over 24-hour cycles with 100% data integrity on 16×2 LCD.
Production-ready Edge AI intrusion surveillance gateway converting laptop webcams, IP RTSP streams, and ESP32-CAM nodes into intelligent security monitors. Combines HOG Person Detection + Haar Face Verification, MOG2 Background Subtraction, dynamic CLAHE Low-Light Contrast Equalization, and sub-500ms Telegram Bot photo alert dispatching.
Microcontroller architectures, telemetry firmware, and wireless data streaming.
Hardware state machines, RTL synthesis, debouncing, and timing verification.
3D electromagnetic simulation, substation grid telemetry, and industrial buses.
Computer vision image enhancements, predictive modeling, and mobile apps.
Practical commercial experience across commercial IoT product development and high-voltage substation grid monitoring.
Curriculum focused on Image Processing, Embedded Systems, Machine Learning, Digital Communication, Microcontrollers, and VLSI Systems.
Completed comprehensive 8-course track: Python data modeling, statistical hypothesis testing, machine learning algorithms, and predictive visual analytics.
Hands-on training covering linear regression, dimensionality reduction (PCA), feature engineering, and exploratory data pipelines.
Coordinated interactive community engagement programs for 20+ elderly residents to foster emotional well-being, volunteer collaboration, and structured social activities.
Open for full-time engineering roles, hardware research discussions, embedded systems consulting, and technical collaborations.