Arvind Srinivasan
Signal and Power Integrity Engineer @ Amazon Web Services (AWS)
About
I guide high-speed signals to reach their destination perfectly and ensure stable power delivery to keep systems running smoothly. Master's Student in Electrical Engineering from the University of Texas at Dallas concentrating in Circuits with the main focus on RF/Microwave Engineering has familiarity with RF concepts, S-Parameters, Smith Charts, Impedance Matching and with the ability to learn and acquire extensive knowledge and gain experience, while effectively performing my duties in an organization. • PROGRAMMING LANGUAGES : C/C++, Python Related Course Work: RF/Microwave Circuits (Spring 2021) Analog Integrated Circuit Design (Spring 2021) Computer Architecture(Spring 2021) Principles of Fiber and Integrated Optics(Summer 2021) RF and Microwave system Engineering(Fall 2021) Microwave Design and Measurement(Fall 2021) • RTL LANGUAGES : System Verilog Verilog • SOFTWARE PACKAGES: ADS HFSS Cadence Allegro Capture CIS Cadence Allegro PCB editor AWR Microwave Office, MATLAB-Simulink, Unity Software, Arduino, MUTLI, Stata, Keil μvision 5 IDE, Adobe After effects, Xilinx ISE, Wireshark, Packet Tracer, Adobe Photoshop, Lab VIEW Code composer • OPERATING SYSTEMS: Windows Linux • PLATFORMS: Raspberry Pi 8051 Let's Connect Gmail: arvinthnivasan@gmail.com
United States
Austin
Semiconductors
ADS momentum, Keysight ADS, Cadence allegro, Cadence Calrity, Electro-optical, CMOS, PCIe, Vector Network Analyzers (VNA), Signal Generators, Spectrum Analyzer, Noise Figure Meter, Electromagnetic Simulation, Electromagnetic Interference (EMI), High Speed Interfaces, Signal Integrity, SerDes, Optimization, Railway Signaling, TDR, ANSYS HFSS
Experience
Signal and Power Integrity Engineer
Amazon Web Services (AWS)
Austin, Texas, United States
AI/ML Accelerators - AWS Trainium/ Inferentia. Cloud Scale Machine Learning Acceleration and Graviton CPU
RF/EM Design Engineer
Analog Devices
Raleigh, North Carolina, United States
RF Design Intern
Analog Devices
RF Design and Validation Co-op
Skyworks Solutions, Inc.
Irvine, California, United States
Graduate Student Researcher(TxACE)
Texas Instruments
Dallas, Texas, United States
Texas Analog Center of Excellence Lab Tools - Allegro PCB editor and Capture CIS ● Determining competitive differences between power IC processes, specifically concentrating on buck regulator designs. ● Comparing the output characteristics of chips from various manufacturers, and evaluating safe operating states, including breakdown, on-state characteristics and failure modes. ● Standalone adapter boards are unavailable for most of the chip packages being tested, so I designed PCB adaptor boards to enable testing of QFP, QFN and similar chip footprints. These were fabricated and are used in the testing the various devices.
Embedded Software Engineer
Valeo
Chennai, Tamil Nadu, India
Tools - MULTI, Klocwork, LDRA ● Worked for Valeo’s product Surround vision system which provides an Analog bird’s view of any vehicle and helps the driver to check the surrounding area. The technology stack used were C, C++. ● Prepared automatic code check tool to verify AUTOSAR and MISRA coding standards in the entire framework. ● Developed an automated test script using Python to identify and report regression which significantly reduced manual effort and time by 5 hours. Key Achievement: Employee of the month for June 2020 - For exemplary performance at workplace
Machine Learning/ Artificial Intelligence Intern
Bosch Global Software Technologies
Bengaluru, Karnataka, India
Tools – MATLAB, Unity Software, Python ● Implemented Semi-automatic Data generation for training networks on Fruit detection and classification using Machine Learning and deep learning techniques. ● Volume calculation of regular and irregular objects using 3D camera. ● Generated 360-degree video App using Vuze 360-degree camera and Unity software.
Machine Learning/ Deep learning Intern
National Institute of Technology, Tiruchirappalli
Tiruchirappalli, Tamil Nadu, India
Implemented Autocorrelation between images and Artificial Neural Network using MATLAB. This was done as a research internship under the guidance of Prof. Punniyamoorthy M.
Education
The University of Texas at Dallas
Electrical and Computer Engineering
Jonsson School Dean’s Graduate Study Scholarship holder. It is a competitive merit based award which qualifies me for the in-state tuition rates for Spring 2021, Summer 2021, Fall 2021 and spring 2022
PSG College of Technology
Electronics and communication engineering
Arvind Srinivasan's Contact Information
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