Shivam S.

Software Engineer

Seattle, Washington, United States6 yrs 2 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Led XR feature design at Qualcomm.
  • Developed machine learning models for Facebook Reels.
  • Designed UAV navigation algorithm using deep learning.
Stackforce AI infers this person is a Cloud Computing and XR Technology specialist with strong AI and machine learning expertise.

Contact

Skills

Core Skills

Virtual Reality (vr)Augmented Reality (ar)Machine LearningFacebook AdsArtificial Intelligence (ai)

Other Skills

A/B TestingAlgorithmsAutonomous VehiclesCC++CUDACascading Style Sheets (CSS)Convolutional Neural Networks (CNN)Data AnalysisData PipelinesData StructuresDeep LearningGitHadoopHive

About

I am a Software Engineer - XR at Qualcomm, where I lead the design and implementation of features that enhance the Virtual Reality and Augmented Reality capabilities of Qualcomm XR Software. I have a Master of Science in Computer Science from the University of Southern California, where I focused on data pipelines, information systems, machine learning algorithms, operating systems and object-oriented programming. Before Qualcomm I was at Meta working as a software engineer (machine learning) where I was one of the 3 engineers on Facebook Reels team responsible for launching ads on Facebook Reels. I worked on E2E model pipeline starting from creating ad load strategies by doing data analysis, identifying key proxy metrics for measurement, feature engineering, feature selection, machine learning model development and deployment. I have worked on Autonomous Systems at Apple and MathWorks primarily working on simulation systems (machine learning and perception) I value collaboration, innovation, and quality, and I enjoy working with a diverse and talented team of engineers, designers, and researchers. I am eager to learn new skills, explore new challenges and work on exciting products.

Experience

6 yrs 2 mos
Total Experience
1 yr 2 mos
Average Tenure
2 yrs 3 mos
Current Experience

Amazon web services (aws)

2 roles

Software Development Engineer 2

Dec 2025Present · 5 mos · Seattle, WA · On-site

  • EC2 Nitro : EC2 Machine Learning Supercompute - Building next generation AI infrastructure - UltraServer
  • NVIDIA's Vera Rubin, Grace Backwell Al Computing Platforms

Software Development Engineer 2

Feb 2024Dec 2025 · 1 yr 10 mos · Seattle, WA · On-site

  • EC2 Nitro : NEAT Analytics and Insights
  • Building observability and analytics platforms providing fleet-wide visibility into EC2 network performance, enabling data-driven optimization decisions and proactive customer issue resolution.

Qualcomm

Software Engineer - XR (Extended Reality) / AR (Augmented Reality) / VR (Virtual Reality)

Jan 2023Feb 2024 · 1 yr 1 mo · San Diego, California, United States · On-site

  • Team : XR Compositor ( Snapdragon Spaces )
  • Leading the design and implementation of leading features ranging from configuration manager, logging performance metrics to custom unit test runner enhancing the Virtual Reality (VR) and Augmented Reality (AR) capabilities of Qualcomm XR Software.
  • Spearheading a multi-quarter initiative of integrating 2+ advanced XR features from a third-party vendor into Qualcomm's internal codebase, managing the end-to-end process including code merging, comprehensive code reviews and documentation.
  • Played a pivotal role in the design of a canned data playback mechanism that addresses the need to use consistent, reproducible XR scenarios for enhanced testing capabilities and reliable regression testing. This initiative resulted in leveraging scenario variability capabilities to strengthen testing consistency and facilitate efficient bug identification.
  • Owner of the XR Compositor Unit Test Module
Artificial Intelligence (AI)Systems DesignVirtual Reality (VR)Augmented Reality (AR)C++

Meta

Software Engineer

Feb 2022Jan 2023 · 11 mos · Menlo Park, California, United States

  • ● One of the 3 engineers on the Facebook Reels team responsible for launching ads on reels in a tight timeline, leading to XX RPM gain.
  • ● Increased YY% revenue on an emerging ads surface by developing a mechanism that delivers a balance between a 3% increase in ad load,
  • without compromising the user experience as measured through the producer daily active profiles (pDAP) metric.
  • ● Worked on E2E model pipeline starting from creating ad load strategies by doing data analysis, identifying key proxy metrics for
  • measurement, feature engineering, feature selection, model development and deployment.
Artificial Intelligence (AI)A/B TestingMachine LearningSystems DesignHiveData Pipelines+1

Usc viterbi school of engineering

4 roles

Course Grader

Aug 2021Dec 2021 · 4 mos · Los Angeles, California, United States

  • Course Grader for CSCI 350 - Introduction to Operating Systems by Professor Tanya Ryutov

Course Grader

Jan 2021May 2021 · 4 mos

  • Teaching assistance with assignments.
  • Conducting Office Hours to help students with their doubts.
  • Collaborating & coordinating with 180+ students for Introduction to Artificial Intelligence (CSCI360) coursework under Professor Andrew Nealen.

Course Grader

Aug 2020May 2021 · 9 mos

  • Grader for the course CSCI102L - Fundamentals of Computation by Professor Mark Redekopp.

Course Grader

May 2020Jul 2020 · 2 mos

  • Teaching assistance with assignments.
  • Conducted Office Hours to help students with their doubts.
  • Collaborated & coordinated with 100+ students for Database Systems (CSCI585) coursework under Professor Saty Raghavachary.

Apple

Simulation Engineering Intern

May 2021Aug 2021 · 3 mos · Cupertino, California, United States

  • Interned with Simulation Team in Autonomy in Special Projects Group (SPG) at Apple 
Artificial Intelligence (AI)Systems DesignSimulations

Mathworks

2 roles

Software Engineer

Jan 2019Nov 2019 · 10 mos

  • Worked as an Associate in Engineering Development Group. I contributed the following at MathWorks:
  • Developed GPU codegen support for rgb2hsv function
  • Developed GPU codegen support for imcrop function
  • Designed following MATLAB shipped examples for Robotics System Toolbox R2019b release:
  • Plan Path for a Differential Drive Robot in Simulink
  • https://in.mathworks.com/help/robotics/ug/plan-path-for-differential-drive-robot-in-simulink.html
  • Execute Tasks for a Warehouse Robot
  • https://in.mathworks.com/help/robotics/examples/execute-tasks-for-a-warehouse-robot.html
  • Control A Differential-Drive Robot in Gazebo With Simulink
  • https://in.mathworks.com/help/robotics/examples/control-a-differential-drive-robot-in-simulink-and-gazebo.html
  • Designed an internal test harness which help Global Path Planners to be tested on various scenarios in Robotics System Toolbox
  • Actively solved technical customer cases related to MATLAB & Simulink using Salesforce CRM platform
  • Lead MATLAB Answers community from MathWorks Hyderabad office
  • Responsible to train new associates in Engineering Development Group on MATLAB Answers

Intern

Aug 2018Dec 2018 · 4 mos

  • Designed and implemented the UAV ( Drones ) Autonomous Navigation Algorithm (DroNet) using Deep Learning in MATLAB.
  • This project was used by MathWorks in 2019 GHC Orlando Workshop "How to Do AI with Things That Fly"
  • DroNet : http://rpg.ifi.uzh.ch/docs/RAL18_Loquercio.pdf
  • https://www.mathworks.com/company/jobs/talent/grace-hopper-celebration.html#activites
Artificial Intelligence (AI)Systems DesignSimulations

Cube26 (acquired by paytm)

Research Intern

Jun 2017Aug 2017 · 2 mos · New Delhi Area, India

  • LiDAR Camera Calibration for Self Driving Car
  • Developed a package to calibrate LiDAR VLP-16 with Pointgrey cameras to
  • calibrate needed for perception
  • Optimized calibration parameters by 40% as given by open source packages.
Simulations

Swaayatt robots (स्वायत्त रोबोट्स)

Research Intern

Jun 2016Aug 2016 · 2 mos · Bhopal

  • Designed and developed a tool for automatically labeling the road markers for
  • preparing ”road-marker” data-set for self-driving car.
  • Implemented feature extraction using Harris Corner Detection technique.
  • Implemented Marker Based Watershed Segmentation for segmentation.
  • [Python, OpenCV, Numpy, Matplotlib]
Artificial Intelligence (AI)

Education

University of Southern California

Master of Science - MS — Computer Science

Jan 2020Jan 2021

Guru Gobind Singh Indraprastha University

Bachelor’s Degree — Computer Science

Jan 2014Jan 2018

Guru Tegh Bahadur Institute Of Technology

Bachelor of Technology - BTech — Computer Science and Engineering

Jan 2014Jan 2018

PDM Public School, Bahadurgarh, Jhajjar, Haryana

XII Class

Jan 2012Jan 2014

KSM Public School, Jhajjar, Haryana

Xth Class

Jan 2001Jan 2012

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