Sharadhi Jaganath

Software Engineer

Sunnyvale, California, United States5 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Launched major attribution product at Meta.
Achieved high accuracy in machine learning models.
Developed innovative solutions for driving behavior analysis.

Stackforce AI infers this person is a Machine Learning Engineer specializing in Automotive Technology and Advertising Technology.

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Skills

Core Skills

Software DevelopmentMachine LearningCloud Engineering

Other Skills

AlgorithmsComputer VisionPythonC++JavaData AnalysisData ScienceInfrastructure DeploymentOpenCVKerasMatlabOpenFaceStatistical Machine LearningData MiningData Visualization

About

After graduating with a Master's degree in Computer Science from Arizona State University, I am excited to begin my work as a software engineer at Meta. I have over a year of relevant professional experience working at a start-up in India named Lightmetrics. I also have about 8 months of experience as an intern. I have taken several relevant courses while pursuing my Master's degree. They include compiler design, introduction to artificial intelligence, design, and analysis of algorithms, data mining, statistical machine learning, data visualization, mobile computing, natural language processing, data processing at scale, knowledge representation, and software design. My core areas of interest include 1. Programming in C, C++, Java, and Python 2. Machine Learning and Artificial Intelligence 3. Computer Vision and Image processing 4. Data analytics I am driven and motivated, capable of developing innovative solutions to solve complex problems.

Experience

5 yrs 8 mos

Total Experience

2 yrs 10 mos

Average Tenure

4 yrs 3 mos

Current Experience

Medidata solutions

Cloud Engineer

Sep 2021 – Dec 2021 · 3 mos · Remote

I worked as a Cloud Engineer in the DevTools team - helping design and implement infrastructure deployment tools.

Cloud EngineeringInfrastructure Deployment

Lightmetrics

2 roles

Software Engineer

Aug 2018 – Jul 2019 · 11 mos

Lightmetrics is making cameras around the vehicle smart providing a 360-degree view of driving behavior. RideView platform provides various features to ascertain driving behaviors.
As a software engineer, I performed the following tasks:
1. Developed an algorithm to identify tailgating violations by an advanced driver assistant system using Python and OpenCV.
2. Built a recurrent neural network model to identify a harsh braking violation using Keras, obtaining an accuracy of 98.8%.
3. Developed an algorithm to classify stop sign violations using Python and OpenCV, obtaining an accuracy of 97%.
4. Built a tool that could be used to automate the process of image data collection allowing for easy annotation and cropping of
video frames.

PythonOpenCVKerasMachine Learning

Software Engineering Intern

Jan 2018 – Jul 2018 · 6 mos

During my internship at Lightmetrics, I have worked on the following areas
1. Developed an algorithm to detect the presence of artifacts (mud, fog, raindrops) on a camera lens using Matlab.
2. Built a convolutional neural network classifier to detect the presence of tailgating using Python obtaining an accuracy of 97.6 %.
3. Conducted a study on the various types of neural network models that could be used to perform computationally heavy tasks on mobile devices including ShuffleNet, SqueezeNet, YOLO V2 model, ResNet, and so on.
My competent performance during my internship here resulted in getting a full-time job at LightMetrics

MatlabPython

Lensbricks

Intern

Jun 2017 – Aug 2017 · 2 mos · Bengaluru Area, India

As an intern at LensBricks, I have
● Built a classifier to detect basic emotions of an image using Python programming language and OpenFace software.
● Learned how to use basic machine learning libraries like Keras, TensorFlow, and Caffe.

PythonOpenFace