About
I am an Electronics and Telecommunication Engineering student at RV College of Engineering, Bengaluru, currently in my fourth semester and expected to graduate in 2028. My academic journey began in 2024, and I have been deeply involved in hands-on projects and experiential learning throughout my studies.
My work spans IoT systems and embedded hardware platforms such as ESP32, Arduino, STM32, and FPGA with Verilog logic. I have developed prototypes including a river water tester, portable aquaculture tester, and a neuromorphic battery management system using spiking neural networks. I also have experience with software tools like Python, Edge Impulse, Random Forest, and cloud/backend integration, alongside web and dashboard development for monitoring applications.
Experience
Theme, Telecommunication — Neuromorphic SNN based Aerial Object detection using RTL-SDR
RV college of engineering, Bengaluru
Jan 2024 – Present
A spiking neural network based battery optimisation module which focuses on the generation of spikes to turn on the wi-fi module of the microcontroller- ESP32, only when there is a spike or anomaly detected hence conserving an immense amount of power.
Spiking Neural NetworksESP32RTL-SDRIoT SystemsWater TestingPrototype DevelopmentAquaculture TestingPortable DevicesBattery Optimization
Education
RV college of engineering, Bengaluru
B.E · Electronics and Telecommunication Engineering
2024 – 2028
Certifications
Digital Design, Hands On online course certification
Maven Silicon
Technology Job Simulation
Deloitte
Generative AI Mastermind
Outskill
Generative AI with AWS Certification
Amazon and Udacity
Skills
Cloud IntegrationDashboard DevelopmentWeb DevelopmentC ProgrammingRandom ForestEdge ImpulsePythonIoT SystemsVerilogFPGASTM32ArduinoESP32
