Pravallika Varikuti

[email protected] • +91 9390405115 • Bangalore, Karnataka, India

LinkedIn: linkedin.com/in/pravallika-varikuti

PROFESSIONAL SUMMARY

Embedded Software Engineer with 2+ years of experience in Automotive Ethernet and Ethernet Switch Development. Seeking full-time roles in Automotive Networking, Ethernet Switch Development, and Gateway ECU Software.

WORK EXPERIENCE

Embedded Software Engineer

02/2024 - Present

Bosch Global Software Technologies , Bangalore, India

• Developed ECU Monitoring functionality for AP4 and AUX gateways, enabling continuous diagnostics and DTC setting over 6 months

• Integrated and validated Marvell 88Q5050 Ethernet switch in ISUZU Ethernet gateway

• Implemented Secure Boot for Ethernet Switch microcontroller, inter-process communication, and heartbeat frame implementation to the Host microcontroller

• Configured TCAM rules for traffic filtering and classification

• Validated TCP/IP and UDP communication over Automotive Ethernet Networks

Project Trainee

02/2023 - 07/2023

Bosch Global Software Technologies , Bangalore, India

• Automated ECU test cases using CANoe, vTESTstudio, and CAPL, reducing manual validation effort

• Performed gateway routing and diagnostic validation, ensuring compliance with Daimler OEM standards

EDUCATION

B.E. Electronics and Communication Engineering

01/2023

Sri Jayachamarajendra College of Engineering, Mysuru , Mysuru, India GPA: 8.76

09/2017 - 05/2019

TELENGANA STATE BOARD OF INTERMEDIATE EDUCATION NARAYANA JUNIOR COLLEGE , HYDERABAD GPA: 97.8 %

SKILLS

PROJECTS

Smart Payment for Parking Fee Management Using RFID

Technologies: MFRC522, Arduino, Embedded C, IR sensors, SPI

• Developed an RFID-based automated parking system using MFRC522 and Arduino for contactless vehicle identification via SPI

• Implemented Embedded C logic with IR sensors and servo control for automated barrier operation

IoT-Based Food Monitoring System

Technologies: NodeMCU, Raspberry Pi, IoT, Sensors, Cloud data logging

• Developed an IoT-based system using sensors and microcontroller (NodeMCU/Raspberry Pi) to monitor food conditions

• Implemented real-time cloud data logging and analysis to prevent spoilage due to environmental changes