Embedded System Machine Learning

AKSHATHA PRASAD VALLAMPATI

https://github.com/VAkshathaPrasad/ ********@***.*** https://www.linkedin.com/in/v-akshatha-prasad/ 669-***-**** Irvine, CA EDUCATION

University Of California, Irvine, California, USA Sept 2023 - Dec 2024 Masters in Embedded and Cyber-Physical Systems (MECPS) Current CGPA:3.9/4.0 Courses: Embedded System Modelling and Design, Wireless sensors, actuators and networks, IoT System and Software, CPS Design, Machine Learning and Data Mining, Embedded System Software, Security and Privacy, Control Systems Amrita School Of Engineering, Amrita University, India July 2018 - July 2020 Master of Technology in Embedded Systems CGPA: 8.54/10 Courses: Embedded System Programming, IoT designing, Real Time Operating Systems, Robotics, Multicore Architecture Jawaharlal Nehru Technological University – Hyderabad (GNITS), India Sept 2014 - Apr 2018 Bachelor of Technology in Electronics and Communications Engineering (ECE) CGPA: 77.9/100 Courses: C Programming, Data Structures, Analog Design, Digital Design, Multi Processors and Multi Controllers, VLSI, Embedded Systems WORK EXPERIENCE

Embedded Engineer II Honeywell Technology Solutions, Hyderabad June 2022 - July 2023

• Developed a Mission Manager Electronic Checklist (MMECL) application in a team of 6 for Dassault and Gulfstream business jet’s cockpit.

• Recognized for quickly adapting to the organizational processes, going beyond expectations, and motivating others by setting an example.

Embedded Software Engineer Ignitarium Technology Solutions Pvt Ltd., Bangalore Oct 2020 - June 2022

• Worked on architecture validation of various features of Ethernet Broadcom (PEX1, Trident4, Tomahawk) switches used in the data center. These features include Layer 2(unicast and multicast), layer 3(unicast and multicast) and various IP tunnels.

• Awarded the Hi-5 champ award for delivering and contributing towards the client’s project with 100% efficiency.

• Recognized with the Coaching champ award for taking up the additional responsibility of training 3 new hires into the department.

Embedded Software Intern Ignitarium Technology Solutions Pvt Ltd., Bangalore Aug 2019 - May 2020

• Implemented a “Lane Departure Warning System” by using TDA3x SoC, UART, CAN and Ethernet modules in a Linux environment. This algorithm prevents 65% of the road accidents caused by unintentional lane deviations.

• Developed a Python Tkinter-based GUI to simulate car dashboard controls like door open/close state, fuel state, speed of the vehicle, facilitating efficient system testing.

TECHNICAL SKILLS

• Programming languages: C, C++, Embedded C, Python, MATLAB

• Design tools: Visual Studio, Keil uVision, XILINX, Vision SDK, Arduino IDE, OpenCV, MPLAB code configurator

• Code source tools: GitHub, Source Tree, JIRA, BitBucket, Perforce, Doors

• Hardware: ARM controllers (LPC 2148, LPC 1769), Arduino, Raspberry Pi, PIC 16F, TI’s TDA3x SoC, NXP S32, NodeMCU, Oscilloscope, Multimeter, Sensors, Actuators, NVIDIA Jetson Nano, Logic Analysers, Device drivers

• Device drivers: GPIO, ADC, SPI, I2C, UART, CAN, USB, Bluetooth, 4G module interface, PCIe, HDMI, MQTT

• Industry Knowledge: Embedded Systems, Computer architecture, ARM Architecture, Networking Protocols, IoT, RTOS, Bare metal, Kernel, Semaphore, Mutex, Interrupts, Polling, GDB Debugging, Testing, Software design, PCB design, SDLC

• Operating Systems: Windows, Linux, Ubuntu

PUBLICATIONS

• “Intelligent Chatbot for Lab Security and Automation”, 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2020 [code: https://github.com/VAkshathaPrasad/Voice- authentication-based-chatbot ]

• “Lane Departure Warning System using TDA3x_rvp Board”, 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2020 ACADEMIC PROJECTS

• Smart Thermostat with AES encryption Apr 2024 - June 2024 Built a smart thermostat with Raspberry Pi, AES encryption for secure UDP communication, and GPIO-based temperature control. [code: https://github.com/VAkshathaPrasad/Smart-Thermostat ]

• Wireless Pulse Monitoring System Sept 2023 - Dec 2023 Developed a Raspberry Pi-based pulse monitoring system with Bluetooth and a Tkinter GUI for real-time pulse data and BPM alerts. [code: https://github.com/VAkshathaPrasad/Pulse-Monitoring-System ]

• Autonomous delivery system Dec 2017 - Apr 2018

Led a team of 4, constructed a drone and navigated it autonomously to deliver emergency medicines in the remote area. This project was awarded the best project in the Electronics and Communications department.

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