I'm an Electrical Engineer passionate about deep learning, control theory, bio-signal processing, IoT and Robotics. This is my small space on the internet where I share my journey, what I learn and some fun facts along the way. My goal is to contribute to the evolution of human-robot interactions and explore how technology can seamlessly integrate into everyday life to improve human capabilities and quality of life. I'm currently deep into the process of mastering Deep Reinforcement Learning.
My journey so far 🛫
Firmware Engineer
Designing, developing, and testing firmware for custom embedded systems.
Bachelor of Technology
Bachelors in Electrical and Electronics Engineering with a minor in Computer Science from College fo Engineering Trivandrum.
I worked on IoT, smartgrids, deep learning, bio-signal processing, planetary rovers, medical robots, and FPGA’s.
Research Intern
Research Intern at Bart Lab, Mahidol University Thailand. Worked on bilateral control for robotic exoskeleton and deep learning-based control for BART Lab stair climbing wheelchair.
IEEE CSS SBC CET Chariperson
Founding chairperson of IEEE Control Systems Society SBC CET.
Internship at TrEST Research Park
Worked on RTL Design and Verilog.
Arduino User Groups Organiser Kerala
Organized workshops for sharing knowledge on latest Arduino boards, IoT and Model-Based Design.
Project Head RoboCET
Guided students in robotics projects, conducted workshops and hands on sessions on robotics, IoT, LoRa, programming and development platforms.
Design Intern at CETAA
Graphics design and content creation at CETAA, alumni association of College of Engineering Trivandrum.
Network Intern at Phorena
Development of a crate for MQTT-SN in Rust.
Skills ✏️
Programming Languages
Python
C
Embedded C
Verilog
Embedded Platforms
Arduino, Raspberry Pi
Beaglebone Black, STM32, 8051
ESP32, Renesas Synergy
FPGA
Softwares
Matlab
Proteus
LabVIEW
LATEX
Others
Deep Learning, Machine Learning, LLM
PyTorch, TensorFlow, Embedded ML
Bio-Signal Processing, Internet of Things (IoT)
Digital Design, HTML, CSS
EEG, EOG, EMG
Projects
Learning Based Control and Navigation of Planetary Rovers
A novel multimodal deep learning-based navigation and distributed control architecture for automonous navigation and control of planetary rovers.
PyTorchControl TheoryRaspberry PiESP 32
IoT-based Real-Time Load Management System
Implementation of real-time management of loads and distributed energy resources.
IoTAWSRaspberry PiNode-REDESP 32
Bio-Signal Activated FPGA-Based System for Robotic-Assisted Rehabilitation
A novel multimodal bio-signal based control architecture for robotic rehabilitation systems.
PyTorchFPGALabVIEWMatlab
GridNet: Synergizing AI and Grid Intelligence for Forecasting, Monitoring, and
Management of Loads in Smart Grids
Intelligent load management and optimal resource utilization for smart grids by integrating AI with grid intelligence by predicting the next hour’s demand and generation using LSTM, GRU, and LSTM-GRU models.
PyTorchPythonBeaglebone BlackStreamlit
A Novel Strategy for Waste Management using IoT for Smart Cities
An intelligent waste bin, capable of real-time communication, indicating optimal pickup times, computed with input from an array of sensors.
IoTArduinoThingsBoard
Priority Based Load Management System
A novel load management system capable of meeting the load demand with limited energy supply in microgrids with real time visualisation and control.
IoTBeaglebone BlackThingsBoardPython
Optimal Utilisation of PV Systems
An optimal load management system for smart homes, with solar PV systems, capable of providing quality power, with optimal utilisation of PV sources, real time monitoring and management of loads and generating sources.
IoTBeaglebone BlackThingsSpeakPython
QuickTab
An all-in-one platform for your medical needs, finding you the nearest medical store, with all your medicine needs in the shortest possible time.
