Machine Learning Software Engineering

SONALI BOKIKERE SREEDHAR

linkedin.com/in/sonali-b-s/ R ***************@*****.*** San Jose, CA Ó323-***-**** SUMMARY

Results-driven professional with 5 years of experience in software engineering with good grasp of Operating Systems concepts

& Algorithms. Specializing in Computer Vision and Machine Learning techniques, in optimizing and deploying machine learning models for Alexa multimodal devices. Proven track record of optimizing application performance, and enhancing user experiences of Alexa devices as well as cloud game streaming experience using DirectX, OpenCL and other computer graphics interfaces. Brings on board exceptional communication and interpersonal skills, with willingness to stay updated on the latest trends, technologies, and advancements in technology and industry. EXPERIENCE

AMAZON.COM LLC, Sunnyvale, USA j Software Development Engineer -II Feb 2021 - Jan 2024

Alexa AI Devices: Designed & implemented algorithms for audio and image extraction and processing to curate big diverse datasets within Android SDK product environment using C++, python and Java.

ARCUS API to improve application performance, enabling real time configuration adjustments without codebase changes, reducing deployment time by more than 50% and minimizing production issues by 40%.

Implemented proximity detection feature complementing the voice experience with visual content rendered on Alexa enabled multimodal devices.

Driven the architecture, implementation, and productization of data collection pipeline by working on Big data of raw audio and user images collected across four Echo device types to boost model performance of multimodal devices.

Transformed raw data into actionable insights, to boost ML model training by creating a Python application for data evaluation.

CVML Metrics Implementation: Successfully executed CVML Metrics Implementation, providing essential metrics for business operations, including tracking customer usage of privacy/camera features on Echo devices and latency metrics. Integrated Computer vision service with AWS service.

Implemented a post-processing pipeline that does audio and video processing using OpenCV, PyTorch and ffmpeg, con- verting collected data into video & audio components for Computer Vision model training.

Stylus Prediction: Implemented metrics for Stylus model evaluation, including distance error and angle deviation from ground truth values to develop robust and well-optimized production models for Stylus prediction thus enhancing Stylus user experience to write and draw on Fire Tablet.

Developed and launched a new Android application for visual tests for ML model verification for stylus stroke predictions.

Enriched the gaming experience by implementing Desktop Duplication on windows using DirectX programming effec- tively reducing latency issues by 17% by improving GPU rendering performance in cloud game streaming.

Conducted proactive design and code reviews and testing of own work and actively participated in peer reviews.

Collaborated closely with multi-functional teams across geographies, to shape the product, proactively gathering require- ments, and ensuring software quality through memory profiling and unit tests. ANALOG DEVICES PVT LTD, INDIAj Application Engineer June 2017 - July 2018

Implemented Post Silicon validation tests in C++ for the AD2428 product in the Automotive Audio Bus (A2B) project. Performed detailed technical review on new products’ Programming Reference manual, Data Sheets. EDUCATION

University Of Southern California,Los Angeles January 2019 - December 2020 Master of Science in Electrical Engineering GPA: 3.7/4 Focus Area: Software Development using Java and CPP Relevant Coursework: Computer Vision,Deep Learning,Natural Language Processing, Digital Signal Processing, Machine Learning, Mathematical Pattern Recognition,Databases, Probability & Statistics, Linear Algebra,Data-structures & Algorithms PES Institute of Technology, Bengaluru, India August 2013 - May 2017 Bachelor’s of Engineering in Electronics and Communications Engineering GPA: 9.4/10 SKILLS

Computer Languages Java, C/C++, Python, MATLAB, SQL Software & Tools Audio & Video processing, Android development, Git, Jira, Confluence, BitBucket, MATLAB, Tensorflow, Ker Learn, OpenCV,NumPy,

Pandas,PyTorch, EC2,S3

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