Embedded Systems & IoT
Adaptable and detail-oriented Electronics and Communication graduate with strong proficiency in VLSI design, embedded systems, and signal processing. Skilled in using tools like MATLAB, Verilog, and Arduino. Passionate about developing innovative electronic solutions and IoT applications. Seeking a challenging role to contribute technical expertise in real-time systems and automation.
VLSI & FPGA Design
Embedded Systems & IoT
VLSI & FPGA Design
Cybersecurity & Secure Communication
- Wireless Communication & Networking
SERVER CLINT COMMUNICATION USING ESP8266 WIFI MODEL
Designed and implemented a server-client communication system using the ESP8266 Wi-Fi module, enabling efficient wireless data transmission. Developed a transmitter-receiver architecture for real-time sensor data exchange, optimizing network reliability and performance. Integrated IoT-based connectivity, ensuring seamless interaction between embedded devices for industrial automation and smart applications.
LIFI BASED TRANSMITTER AND RECEIVER
Developed Li-Fi communication system using visible light for high-speed, secure data transfer.
Optimized LED modulation techniques to achieve efficient wireless transmission with minimal interference.
Explored industry applications for Li-Fi, including IoT integration, healthcare, and smart environments.
PULSE OXIMETER USING ESP32
Developed a pulse oximeter system integrating optical sensors and signal processing techniques to accurately measure blood oxygen levels and heart rate. Designed and optimized embedded electronics for real-time monitoring, ensuring reliability in medical and industrial applications. Collaborated on data acquisition and wireless transmission, enhancing usability for healthcare and wearable technology solutions.
IMAGE TEXT TO SPEECH TRANSCRIPTION IN MULTILANGUAGES USING RASBERRY PI
Developed an image text-to-speech transcription system using Raspberry Pi, integrating OCR and multilingual TTS for real-time accessibility. Designed an efficient embedded processing pipeline to extract and convert text from images into speech, enhancing usability for visually impaired users. Optimized hardware-software integration to support multiple languages, ensuring seamless performance in diverse applications.