Embedded Systems Engineer with IoT and Automotive Focus

PRANEETH KUMAR JINUKALA

Location: USA Email: ****************.*@*****.*** Phone: 747-***-**** LinkedIn SUMMARY

Embedded Systems Engineer with 3+ years of experience in designing, developing, and optimizing high-performance firmware solutions for IoT, automotive, and smart infrastructure applications. Proficient in C, C++, Embedded C, and Python, with strong expertise in ARM Cortex, STM32, and ESP32 microcontrollers and RTOS-based real-time system design. Skilled in implementing and optimizing communication protocols such as SPI, I C, UART, CAN, and Ethernet, and integrating cloud connectivity through AWS IoT Core and MQTT for secure device communication. Experienced in developing scalable, power-efficient firmware architectures, performing debugging and validation using IAR Embedded Workbench, Keil, and STM32CubeIDE, and ensuring robust system performance. Collaborative and Agile-focused, leveraging Git, GitHub, and Jira for version control and sprint-based development. Strong background in ISO 26262–compliant automotive systems, edge analytics, and secure OTA updates, with a proven track record of improving performance, reducing downtime, and delivering reliable embedded solutions across diverse platforms.

SKILLS

• Programming Languages: C, Embedded C, C++, Python

• Embedded Systems Development: Firmware Development, Real-Time Operating Systems (RTOS)

• Microcontrollers & Processors: ARM Cortex, STM32, Raspberry Pi, PIC, AVR

• Communication Protocols: SPI, I2C, UART, CAN, LIN, Ethernet, Wi-Fi, Bluetooth

• Embedded Development Tools: Keil, IAR Embedded Workbench, MPLAB X, STM32CubeIDE

• Debugging & Testing: Logic Analyzers, Oscilloscopes, JTAG, In-circuit Debuggers (ICD)

• Cloud Integration & IoT Development: AWS IoT, MQTT

• Version Control & Project Management: Git, GitHub, Jira

• System Design & Optimization: Power Management, Performance Tuning, Memory Optimization, Real-Time System Design

• Automotive Embedded Systems: CAN/LIN Communication, ISO 26262 Compliance

• Mainframes & Simulation Tools: Mainframes, MATLAB

• Agile Methodologies: Scrum, Sprint-based Development WORK EXPERIENCE

Honeywell Feb 2025 – Oct 2025

Embedded Systems Engineer Intern

• Led development of embedded firmware for the IoT Medical Facility Integration project, enabling integration of critical subsystems such as HVAC, access control, patient safety, and energy management under a unified IoT platform.

• Designed and implemented IoT firmware in Python and Modern C++ on ARM Cortex-M and ESP32 microcontrollers, enabling secure and efficient connectivity across Ethernet, Wi-Fi, and MQTT/AWS IoT Core networks.

• Integrated edge devices with AWS IoT Core Device Shadow and AWS Lambda functions to support synchronized communication and real-time monitoring within the medical facility ecosystem.

• Utilized IAR Embedded Workbench and STM32CubeIDE for firmware development, debugging, and validation, incorporating unit testing frameworks such as Unity and Catch2, which improved reliability by 25% during validation testing.

• Collaborated within Agile Scrum sprints using Git, GitHub Actions, and Jira Agile Boards to coordinate development, testing, and continuous integration activities.

• Enhanced edge analytics and implemented secure OTA update mechanisms, lowering device downtime by 28% and improving overall firmware reliability across connected medical devices. TatvaSoft Jan 2021 – Jul 2023

Embedded Systems Engineer

• Engineered and deployed embedded firmware for the Smart City Infrastructure Platform, enabling real-time monitoring and control of IoT-based urban assets such as lighting, parking, and traffic systems.

• Developed robust firmware in C and Embedded C for ARM Cortex-M and STM32 microcontrollers, improving firmware efficiency by 30% through modular code design and FreeRTOS-based task scheduling.

• Implemented and optimized communication interfaces including SPI, I C, UART, and CAN to enable seamless sensor-to-gateway and gateway-to-cloud data flow.

• Utilized Keil uVision and STM32CubeIDE for end-to-end firmware design, debugging, and performance validation with logic analyzers, oscilloscopes, and JTAG/ICD tools.

• Designed low-power firmware architectures with advanced power-management and memory-optimization strategies, achieving over 25% improvement in energy efficiency for field-deployed devices.

• Integrated CAN/LIN bus protocols for interoperability between legacy industrial nodes and modern IoT gateways, ensuring compliance with ISO 26262 standards for system reliability.

• Collaborated in Agile Scrum sprints using Git, GitHub, and Jira to manage iterative development, version control, and cross- functional coordination between firmware, cloud, and hardware teams.

• Conducted real-time system analysis and performance tuning, boosting processing throughput by 22% and minimizing CPU utilization for high-frequency data polling tasks.

• Delivered scalable, field-tested embedded solutions that improved city-level operational visibility, reduced downtime, and supported predictive analytics for smarter infrastructure management. PROJECTS

Automotive ADAS Sensor Fusion Module

• Developed real-time sensor fusion firmware in C++ on ARM Cortex-M7, integrating radar, LiDAR, and ultrasonic sensors to enhance object detection and adaptive driving assistance accuracy.

• Implemented CAN-FD communication protocols and contributed to ISO 26262 functional safety validation, ensuring reliable performance in safety-critical automotive embedded environments. Home Automation Hub with Voice Assistant Integration

• Designed and developed an ESP32-based IoT control hub using Wi-Fi, Bluetooth Low Energy (BLE), and Zigbee protocols, enabling seamless interoperability across smart home devices.

• Integrated the Google Assistant SDK for voice-activated automation and implemented secure Over-the-Air (OTA) firmware updates, enhancing scalability and user experience in connected environments. EDUCATION

• Master of Science in Computer Engineering Aug 2023 – Dec 2025 California State University, Northridge, USA GPA: 3.21

• Bachelor of Engineering in Electrical and Electronics Engineering July 2018 – May 2022 C.V.S. R College of Engineering, Hyderabad GPA: 6.94

Contact this candidate