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Software Engineer @ Everpure | ex AWS | ex QCOM
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Experienced System Design Engineer with a demonstrated history of working in semiconductor industry. Have excellent hardware and software programming skills. Strong engineering professional with a Master's degree focused in Electrical Engineering from Santa Clara University.
Santa Clara University
Master's degree, Electrical Engineering
January 1, 2016 – June 1, 2018
SRM IST Chennai
Bachelor's degree, Electrical, Electronics and Communications Engineering
January 1, 2003 – January 1, 2007
Everpure
Member of Technical Staff - Software developer
June 1, 2025 – Present
Santa Clara, California, United States
Amazon Web Services (AWS)
Sr. System development engineer
April 1, 2024 – May 1, 2025
Cupertino, California, United States
Amazon Web Services (AWS)
System Development Engineer II
November 1, 2021 – April 1, 2024
Cupertino, California, United States
Western Digital
Staff System Design Engineer
July 1, 2018 – November 1, 2021
Milpitas, California, United States
Eyeris
Machine Learning Engineer Intern
April 1, 2018 – June 1, 2018
San Jose, California, United States
Qualcomm
Lead Engineer, Senior
July 1, 2012 – August 1, 2016
Bangalore
Wipro Technologies
Senior Project Engineer
August 1, 2007 – March 1, 2012
Pedestrian Detection using Support Vector Machine (Machine Learning)
August 1, 2017 – Present
This software will detect if humans are present in the given picture or not (output 1 if present or -1 if not present). This project is based on paper Histograms of oriented gradients for human detection. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05). In this project, supervised learning algorithm was implemented using Support Vector Machine (SVM) model. The Machine learning algorithm was provided with labelled data set of images for both positives and negatives. The JPG images will be normalized and Histogram of Gradients (HOG) will extract feature vectors from training dataset. SVM algorithm will come up with classification equation separating positives and negatives. Finally, once the learning is completed the equation will be dumped into a file and used for real time classification. During real time classification, the algorithm will be provided with a real image, it will use the equation and tell us if the picture had human beings or not.
Web Data Analytics tool to analyze Gold/Silver prices from investing.com
August 1, 2017 – Present
- The Goal of this project is to Extract Financial data (Gold and Silver Prices) from website (investing.com) and Build a MySQL database in local server, then code will perform various data analysis like compute Mean, Variance on the Dataset. - Used LXML and requests module to extract Data from investing.com website - Store extracted information into MySQL and compute Mean and Variance.
Backward Propagation Neural Network using CUDA (NVIDI GPU)
August 1, 2017 – Present
- Backward Propagation Neural Network was implemented using CUDA (NVIDIA GPU) - Acceleration improvements was studied between CPU and GPU
Nim Game
July 1, 2017 – Present
• Implemented a Two player Nim Game based on Dynamic Programming in C++
Prime Number checker using Verilog
March 1, 2017 – Present
- Verilog module to check if given number is prime
8x8-Switch-using-System-Verilog
March 1, 2017 – Present
- 8X8 (8 Input ports and 8 Output ports) switch has been implemented using System Verilog - Serial data can come from any of the 8 input ports and get routed to any of the 8 output ports - The design has FIFO implemented to buffer packets so that there is no loss of packets even when all input ports are transmitting data to one output port - The design has been verified for 4 tests SMOKE test, 1PORT test, 4PORT test and CONCURRENT test and found to be functionally working well for all test cases - The design is further synthesized and timing verifications are done and the design met the timing requirements for 24ns clock frequency (30ns is the requirement for the project). Gate level verifications have been performed and ensured the design works for all 4 tests even after synthesis
Tomasulo Algorithm Simulator using Python
December 1, 2016 – Present
- Built a Tomasulo cycle simulator which will give a break up of execution cycle for given assembly program - All the functional units in Tomasulo architecture are configurable - We can study the performance improvements by changing the number of functional units in the Computer Architecture for given code.
Cultural Fit Analysis
The candidate's project history shows a strong inclination towards personal learning and exploration across various technical domains, from machine learning to hardware design. This breadth of interest could indicate a curious and self-driven individual. However, the professional experience, while technically strong, leans heavily towards system development and hardware engineering, which might require a shift in focus for a pure Data Analyst role. The diversity of projects suggests an ability to adapt and learn new technologies, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to work on complex technical challenges. The diverse project portfolio suggests adaptability and a willingness to explore different technical domains. However, without specific psychometric test results, a detailed assessment of soft skills and operational fit is limited.