Lakshmi Sravani Nissankararao
Dover,NH
Summary
Dynamic and results-driven Hardware Engineer with 6+ years of experience in embedded hardware design, system architecture, and embedded firmware. Skilled in C, C++, Python, Verilog, RTL design, and various hardware design tools. Strong track record of delivering successful projects and staying up-to-date with industry trends and regulations. Adept at leading teams and collaborating with stakeholders to ensure seamless integration of hardware and software components.
Overview
7
7
years of professional experience
Work History
Graduate Research Assistant
Resilient Architecture Lab - UNH
Durham, NH
08.2022 - Current
- Collaborated on computer architecture and systems security projects, contributing to 2 conference papers and research publications.
- Specialized in fuzz testing and vulnerability discovery in embedded systems firmware, raising unique issues, and notifying vendors about existing bugs.
- Conducted 60+ literature reviews and synthesized research findings in preparation for data analysis.
Project Engineer
Sai Sharan Technologies
Hyderabad
07.2017 - 06.2022
- Designed and developed Verilog code for various FPGA projects, ensuring optimal performance, area utilization, and power efficiency.
- Implemented various communication interfaces between a PC and FPGA, such as UART, SPI, and I2C, facilitating seamless data transfer and debugging.
- Developed various Python test scripts for ARM-based custom SoC, validating firmware for Camera, GPU, and Memory sub-systems.
- Collaborated with cross-functional teams on hardware development, debugging, board-level testing, and integration, ensuring better performance and reliability.
Education
Master of Science - Electrical and Computer Engineering
University of New Hampshire
Durham, NH05.2024
Bachelor of Technology - Electronics and Communication Engineering
RVR&JC College of Engineering
06.2017
Skills
- C, C, Python
- Verilog
- RTL Design
- Xilinx Vivado (FPGA)
- Cadence Virtuoso
- ARM CoreSight
- MATLAB
- OrCAD
- PSpice
- Reverse Engineering: Ghidra, Binary Ninja
- Agile, Jira
- Android Debuggers
- Windows, Linux, MAC
- Hardware Design
- PCB layout
- Leadership
- Project Management
- Effective Communication
Publications
- LightEMU: Hardware-Assisted Fuzzing of Trusted Applications [HOST]: Proposed and implemented LightEMU, achieving 10x faster fuzzing speed in Trusted Execution Environments.
- CROWBAR: Natively Fuzzing Trusted Applications Using ARM CoreSight [Journal of Hardware Systems and Security]: Demonstrated the feasibility of fuzz testing Trusted Applications using ARM CoreSight components.
Timeline
Graduate Research Assistant
Resilient Architecture Lab - UNH
08.2022 - Current
Project Engineer
Sai Sharan Technologies
07.2017 - 06.2022
Master of Science - Electrical and Computer Engineering
University of New Hampshire
Bachelor of Technology - Electronics and Communication Engineering
RVR&JC College of Engineering
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