Sandeep D'souza

Senior Software Engineer

Washington, District of Columbia, United States11 yrs 2 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expertise in AI/ML and computer vision.
Led AI Data team at Amazon for DashCart.
Designed scalable frameworks for cyber-physical systems.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI solutions for E-commerce and IoT applications.

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Skills

Core Skills

Artificial Intelligence (ai)Machine LearningData Infrastructure

Other Skills

Cloud ComputingProgrammingAlgorithmsSensor FusionFraud DetectionPower ManagementPrivacy-Preserving Live-Video StreamingAnalyticsContainerizationReinforcement LearningData MiningEntrepreneurshipAnalysisStrategic Financial PlanningHuman Computer Interaction

About

Software Engineer at Meta, AI Solutions and Automation. Expertise in AI/ML, computer vision, sensor fusion, and data infra, with experience at Amazon (DashCart) and an autonomous-vehicle startup spun out of Carnegie Mellon University.

Experience

11 yrs 2 mos

Total Experience

1 yr 7 mos

Average Tenure

9 mos

Current Experience

Amazon

2 roles

Sr. Machine Learning Engineer

Promoted

Jul 2024 – Aug 2025 · 1 yr 1 mo · Arlington, Virginia, United States

Integral part of the team that launched the Gen2 and Gen3 DashCart. Worked on Sensor Fusion, Fraud Detection, Power Management, Deterministic Playback & Recording and Data Infrastructure. Also lead the Field AI Data team with the DashCart organization.

Sensor FusionFraud DetectionPower ManagementData InfrastructureMachine Learning

Research Software Engineer

Jul 2021 – Jul 2024 · 3 yrs · Arlington, Virginia, United States

Stealth startup

Senior Software Engineer

Jan 2020 – Jul 2021 · 1 yr 6 mos · Pittsburgh, Pennsylvania, United States

Microsoft

AI & Research Intern

May 2019 – Aug 2019 · 3 mos · Greater Seattle Area

Scalable Privacy-Preserving Live-Video Streaming and Analytics
Designed and build an end-to-end live-video analytics system which minimizes privacy leakage based on user privileges and administrator policies. The system also supports bandwidth-efficient video streaming to multiple consumers in a privacy-preserving fashion.

Privacy-Preserving Live-Video StreamingAnalyticsArtificial Intelligence (AI)Machine Learning

Nutanix

Member of Technical Staff - Intern

May 2018 – Aug 2018 · 3 mos · San Francisco Bay Area

Time-as-a-Service for Coordinated IoT Applications
Containerized micro-service architecture for distributed IoT applications which perform coordinated actions using a shared notion of time.
Proof-of-Concept reinforcement-learning-based distributed dynamic vehicular traffic-management solution.

ContainerizationReinforcement LearningMachine Learning

Siemens

Graduate Intern - Siemens Corporate Technology

May 2017 – Aug 2017 · 3 mos · Princeton, NJ

Task and Motion Planning for an Intelligent Industrial-Robotics Manufacturing System
Containerization for Industrial Cloud and Edge

Carnegie mellon university

Research Assistant

Aug 2015 – Dec 2019 · 4 yrs 4 mos · Greater Pittsburgh Area

My primary research focuses on designing a scalable cloud-edge framework for geo-distributed spatio-temporal coordination in cyber-physical systems, based on a shared notion of time. In addition, I have also worked on proposing theoretical analyses and solutions for deploying energy and thermal-aware real-time systems on multi-core processors and hardware accelerators such as GPUs and FPGAs.