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Languages	Tools and Software
1. Python	- VS Code
2. R	- Jupyter Notebook
3. C and C++	- MySQL
4. MATLAB	- Git
5. Verilog	- Terminal
6. HTML	- Linux
7. Markdown	- OMNET
8. SQL	- SUMO Software

• Microcontroller and PCB design: Arduino, Raspberry Pi, Protease
• XILINX FPGA Programming: Verilog
• PCB Circuit Design: Proteus

• Supervised and Unsupervised model implemented:
  • Random Forest, SVM, XG boosting, K Means, PCA, DBSCAN
• Deep Neural Network:
  • CNN, Fast RCNN, LSTM, GAN, Transformer, Autoencoders

• Familiar with modulation techniques:
  • FDMA
• 4G and 5G architecture
• Networking protocols:
  • TCP/IP
• Telecommunication standardizations:
  • 3GPP

• Applied YoLoV3 and v4 to develop real-time ADAS system for Connected Vehicles.

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• Used two Raspberry Pi’s as client and server to prototype two mobile nodes.
• Created an ad hoc network with a Mosquito Net server and 2.4 GHz WiFi network.
• Implemented tiny ML models to detect crashes and pedestrians from real-time dash cam feed (computer vision) at the client side for broadcast warning messages.
• Used C and Python programming language.

• Funded by SAFERSIM project to integrate a large-scale traffic simulator with communication simulator like OMNET for CAVs.

• Spearheaded the development of a versatile Mars rover, showcasing expertise in both hardware and software, from Arduino-based programming to PCB design, circuitry, and integrated sensor systems.
• Designed Robotic Arm with 6 DOF using STM 32 micro-controller and Raspberry Pi for motor control and sensor detection.
• Developed a 100 m LOS communication setup using 5 GHz IEEE 802.11 standard for real-time video transfer and rover control.
• Designed custom PCB circuits for power control with buck-boost converter and implemented L298 motor controller.

• Free Space Optical Communication (FSO) 🌐: Exploring agile, and robust algorithm to discover and maintain nodes using FSO.
• Reinforcement Learning & Deep Neural Networks (RL & DNN) 🤖: Developing intelligent systems that learn and make decisions.
• Embedded Systems with FPGA 🛠️: Utilizing FPGA for implementing Software-Defined Networks (SDN) to enhance robustness in sensing and networking.
• Wireless Communication 📡: Develop and implement algorithm for wireless commincation networks for real time applications like connected vehicles.
• NB-IoT and M2M Communication 🤖📶: Investigating Narrowband IoT and Machine-to-Machine communication for efficient data transfer.
• V2X Technology 🚗🤝: Researching Vehicle-to-Everything communication for smarter transportation systems.
• 5G 📶: Exploring the next generation of mobile communication technology.
• Networking 🌐: Investigating the structure and function of networks for efficient data transfer.

⚡ Fun fact:

• 👯 I’m looking to collaborate on embedded system projects.
• 🤔 Learning is a continuous process and there is no end to. I tend to learn through experience and projects.
• ✏️ Lately I discovered that blogging and writing articles are great for learning.
• 🎵 THere are two ways to do boring job done: music and automation.

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B O N F I R E   L I T !