Aryan Kamble

Embedded Engineer with experience in microcontroller programming, robotics, and hardware-software integration. Having strong foundation in microcontroller programming. Proficient in C, C++, ARM Cortex, embedded systems design, and real-time application development.

Skilled in utilizing communication protocols (I2C, SPI, UART, Modbus) and understanding hardware-software integration. Passionate about solving complex problems, optimizing system performance, and delivering reliable embedded solutions. Hands-on experience with IoT projects and implementing machine learning algorithms for robotics applications.

Passionate about bridging embedded systems with AI to build intelligent and reliable solutions.

Embedded Developer at Integrated Active Monitoring Pvt. Ltd. (2025-03 – Present)

Developing edge-AI and IoT embedded solutions with focus on predictive maintenance, automation control, and real-time monitoring systems.

• Edge-AI Predictive Maintenance Node (STM32 + TinyML) - Designed anomaly detection node with hybrid spectral–time feature extraction, 92% accuracy, LoRaWAN secure uplink
• Dam Door Controller – Designed with rotary encoder feedback for precise gate height calibration, ensuring accurate automated gate open/close operations using ESP32
• AC Controller – Designed with three operational modes: Batch, Sequential, and Temperature Control. Integrated a 16x2 LCD and 4x1 keypad for local input/output, along with a web interface for remote monitoring and control (ESP32-based)
• Motion-Triggered Relay Controller – Designed with STM32 and Pyron-6 motion sensor to trigger a relay for exactly 0.5 seconds using hardware timer and non-blocking HAL-based implementation
• Custom Bootloader with Dual Application & Rollback (STM32) – Designed a custom flash memory layout with isolated bootloader and dual application regions to support safe firmware upgrades
• Memory Optimization for ESP32 – Created a custom 4 MB partition table to enable OTA firmware updates, reducing dependency on larger 16 MB flash modules and optimizing memory utilization
• Ammonia Detection System – Developed using MQ-137 and ESP32, calibrated in fresh air, deployed for washroom air quality research, and performed PPM data analytics
• Network Strength Analysis & Feature Development – Diagnosed field device failures due to weak Wi-Fi; implemented signal strength display on web interface and LED-based strength indication, performed comparative analysis with and without external antennas (ESP32)
• Outdoor Temperature Monitoring – Integrated SHT-40 sensor with ESP32 for accurate environmental measurement and data logging
• ECO-IR Device Production Test Automation – Automated pre-dispatch hardware testing for IR devices by developing a test utility accessible via IP:8888. Enabled production team to verify LED I/O ports and IR transmitter/receiver functionality within 15 seconds, significantly reducing testing time and improving efficiency
• 8IO Automation Controller – Designed with IR sensors for real-time I/O monitoring and automation control using ESP32

Intern at Techno Scripts, Pune (2024-07 – 2025-03)

Gained hands-on experience in microcontroller programming and embedded systems development across multiple platforms.

• Microcontroller Programming using c/embedded c
• Hands-on experience in working with DC motor connections across a variety of microcontrollers, including the PIC18, LPC2148, and STM32 families
• Developed keypads with microcontrollers to provide user input capabilities
• Executed the ADC modules of these microcontrollers for various applications
• ESP8266(NodeMCU) create client-server module and connected to virtual cloud
• Implemented 16x2 LCD for real-time data display
• Implemented and optimized external interrupts

R&D Engineer at Consciente Technology, Hyderabad (2021-08 – 2022-11)

Developed and implemented embedded systems and machine learning solutions for collaborative robotic applications.

• Controlled temperature in a cobot using LPC2148 microcontroller
• Stored sensor-based force values on LPC2148 and applied ML algorithms to determine optimal force for object gripping
• Utilized different Python Libraries like Pandas, Numpy, Matplotlib, Sklearn to understand behaviour of Data for Various application
• Developed and implemented object detection models
• Performed calculations for cobot design, including motor and material selection
• Designed a cobot and a 2-finger gripper for precise object handling

Bachelor of Engineering in Electrical Engineering – SAVITRIBAI PHULE PUNE UNIVERSITY (2021-07)