Vetted Operating Systems Professionals

Pre-screened and vetted.

IH

Ilija Hadzic

Screened ReferencesStrong rec.

Principal Robotics & Autonomy Research Engineer specializing in localization and multi-robot navigation

Murray Hill, NJ31y exp
Nokia Bell LabsUniversity of Pennsylvania

Highly experienced robotics software engineer building ROS/ROS2 systems for fleets of autonomous mobile robots (Clearpath Jackal/Husky and custom platforms), spanning localization, navigation, and multi-robot coordination. Has published work at ICRA (including RL-based local planning and heterogeneous robot coordination via a ROS-to-ZMQ bridge) and maintains open-source ROS modules, with strong simulation, debugging, and CI/CD practices.

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AH

Austin Ha

Screened

Senior Software Engineer specializing in AR/VR and real-time interactive systems

Irvine, CA7y exp
AndurilSchool of Engineering and Applied Science, University of Pennsylvania

Senior engineer (8 years) with experience at Facebook/Meta and Apple, spanning design tooling and XR/enterprise device experiences. Built the Origami component marketplace end-to-end (packaging node logic + metadata, SQL/JSON storage, filtering/search, local caching) with versioning and forward-compatibility decisions, and has a strong track record of UX-focused robustness improvements and safe rollouts via feature flags and telemetry.

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PX

Executive Technology Leader (CTO) specializing in AI-Native Enterprise SaaS and Platforms

Hangzhou, China20y exp
HOSE Inc.Carnegie Mellon University
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NA

Junior Software Development Engineer specializing in AI/ML systems

New York, NY1y exp
MetaColumbia University
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MJ

Senior Full-Stack Python Engineer specializing in AI/ML

Chicago, IL11y exp
DropboxStanford University
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JX

Jeffrey Xuzhang

Screened ReferencesStrong rec.

Junior Software Engineer specializing in full-stack and cloud systems

Vancouver, Canada2y exp
Amazon Web ServicesUniversity of Waterloo

Worked on an AWS DynamoDB Journal team project building internal operator dashboards end-to-end, creating Java/Spring Boot APIs and integrating them into a Spring Boot/Thymeleaf/JavaScript UI to speed up debugging workflows. Has experience with data-heavy web apps and performance techniques (load balancing, caching, pagination, compression) plus hands-on debugging across unit/integration/E2E tests; also maintained and enhanced a React website at Global Spark.

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RV

Staff Backend/Distributed Systems Engineer specializing in cloud observability and payments

Jersey City, NJ6y exp
SalesforceUniversity of Pennsylvania

Backend/full-stack engineer with experience building large-scale systems on Salesforce and eBay, including a sharded Oracle-backed personalization store used by millions of sellers and a Spring Boot microservice that executes scheduled payouts at high volume. Emphasizes production readiness via state-machine-based idempotency, strong observability (Splunk/Elasticsearch/PagerDuty), and extensive Selenium/Sauce Labs automation.

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Peter Alschitz - Principal Software Engineer specializing in distributed systems, security, and low-latency platforms in Greater Seattle Area, WA

Principal Software Engineer specializing in distributed systems, security, and low-latency platforms

Greater Seattle Area, WA10y exp
SecurOTTechnion – Israel Institute of Technology
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PP

Entry-level Supply Chain & Test Engineer specializing in warehouse automation and robotics

1y exp
Procter & GambleMichigan State University

P&G operator who is also building and selling an AI receptionist (voice agent) SaaS for healthcare/service clinics, using EHR + calendar API compatibility to target accounts and letting the Voice AI run parts of the demo to prove value. Has already closed and deployed to two clients in the last two months, with production impact via reduced front-desk overhead and automated scheduling/FAQs, and brings a structured, scalable deployment/process mindset from global WMS rollouts.

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DJ

Daming Jiang

Screened

Intern Software/AI Engineer specializing in LLM fine-tuning and agentic RAG systems

0y exp
AT&TCornell University

Built and shipped an end-to-end LLM agent during an AT&T internship to automate network troubleshooting, with production-style reliability safeguards (timeouts/retries/fallbacks) and structured, state-machine orchestration; project won 3rd place in AT&T’s nationwide intern innovation challenge and was demoed to leadership. Also handled messy multi-partner data at Tencent by implementing schema validation/normalization, confidence-threshold fallbacks, and idempotent Python/ORM-based pipelines.

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LC

Lewis Chen

Screened

Mid-Level Software Engineer specializing in cloud infrastructure and data systems

Sunnyvale, CA4y exp
GoogleUC Berkeley

Backend engineer who helped redesign and refactor Forma’s backend during an app rewrite, emphasizing modularity, maintainability, and A/B testing support while delivering feature parity on a quarter-long timeline. Led a careful database migration using parallel databases with schema differences, validating integrity via staging and SQL checks, and has experience debugging subtle computer-vision overflow edge cases.

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Jingfei Xu - Intern/Junior Software Engineer specializing in AI/ML and cloud-based systems in Mountain View, CA

Jingfei Xu

Screened

Intern/Junior Software Engineer specializing in AI/ML and cloud-based systems

Mountain View, CA0y exp
AmazonCarnegie Mellon University

Embedded/robotics software engineer with Hyundai Motors experience who owned an AI-driven perception validation pipeline using a Transformer-based approach to generate stable synthetic in-cabin audio for autonomy/ASR testing, cutting downstream testing time by 50%+. Has hands-on ROS integration (IMU sensor streaming, inference, control nodes), MQTT-based distributed messaging, and cloud/container deployment experience (Docker, Node/Express, AWS, CI/CD).

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George Liu - Intern Software Engineer specializing in full-stack, backend, and AI agent systems in Fremont, CA

George Liu

Screened

Intern Software Engineer specializing in full-stack, backend, and AI agent systems

Fremont, CA1y exp
TeslaUniversity of Waterloo

Backend engineer with Tesla experience who redesigned vehicle registration into a step-based, region-configured workflow across 4–5 microservices, enabling partial saves and reducing customer drop-off. Has hands-on experience scaling and securing Python/FastAPI APIs (OAuth2/JWT, CORS), migrating cold data from MySQL to MongoDB via Kubernetes CronJobs, and implementing RBAC/RLS with Supabase + Postgres.

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Timothy Mazenge - Mid-Level Software Engineer specializing in Ads frontend and high-scale web platforms in Kirkland, WA

Mid-Level Software Engineer specializing in Ads frontend and high-scale web platforms

Kirkland, WA6y exp
GoogleFisk University

Backend engineer with ad-tech experience who improved advertiser dashboard accuracy by exempting 1% of traffic from ML-based dropping in a ~1B-requests/day pipeline, trading storage for higher customer satisfaction and reduced debugging load. Demonstrates strong migration discipline (phased rollouts, compatibility layers, rollback/change-history recovery) and production API/security practices in Python/FastAPI (async, caching, throttling, RBAC/RLS, monitoring).

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SW

Entry-Level Software Engineer specializing in systems, networking, and ML

Atlanta, GA0y exp
AtlassianGeorgia Tech

Robotics software candidate with hands-on experience building controllers for an Autonomous Underwater Vehicle, including dual-PID control in Python with state-space modeling and a planned path to LQR. Developed ROS nodes for odometry-based localization, waypoint planning, and control command publishing, validated through a custom Gazebo/ROS simulation workflow with control-metric-driven testing. Also worked on F1Tenth simulation and scan-matching localization (PL-ICP), with additional cloud deployment experience using Docker/Kubernetes and CI/CD.

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Aditya Sawant - Mid-level Software Development Engineer specializing in robotics and cloud-based device management in North Reading, Massachusetts

Aditya Sawant

Screened

Mid-level Software Development Engineer specializing in robotics and cloud-based device management

North Reading, Massachusetts3y exp
AmazonUniversity of Texas at Austin

Amazon Robotics engineer who deployed and scaled the Lumos camera-based package scanning work cell across EU sort centers (100+ work cells in 5+ sites), enabling remote launches via detailed runbooks and troubleshooting. Strong in AWS IoT/edge systems, with hands-on incident recovery (restored 34 down work cells) and secure multi-compute certificate provisioning using IoT Jobs, ACM/CA, and custom roles; delivered ~75% per-cell cost reduction vs Cognex-based approach.

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Lokesh Patchala - Mid-Level Backend/Payments Engineer specializing in scalable microservices in Cupertino, California

Mid-Level Backend/Payments Engineer specializing in scalable microservices

Cupertino, California5y exp
AppleIllinois State University
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NG

Intern Software Engineer specializing in Robotics and Autonomous Systems

2y exp
GoogleUniversity of Waterloo
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CL

Intern Software Engineer specializing in backend, distributed systems, and DevOps

1y exp
TSMCCarnegie Mellon University
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Ping-Hsuan Wu - Junior Software Development Engineer specializing in AWS cloud and distributed systems in Seattle, US

Junior Software Development Engineer specializing in AWS cloud and distributed systems

Seattle, US2y exp
AmazonCarnegie Mellon University
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Ishaan Gupta - Intern Software Engineer specializing in full-stack and AI/ML systems

Intern Software Engineer specializing in full-stack and AI/ML systems

1y exp
GoogleUCLA
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Chloe W - Entry-level Data & Quant Analytics professional specializing in finance and machine learning in Remote

Entry-level Data & Quant Analytics professional specializing in finance and machine learning

Remote0y exp
WorldQuantCarnegie Mellon University
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DS

Intern Machine Learning Engineer specializing in systems, kernels, and GPU computing

2y exp
AppleColumbia University
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Varun Panigrahy - Mid-level Software Engineer specializing in distributed systems and big data in Sunnyvale, CA

Mid-level Software Engineer specializing in distributed systems and big data

Sunnyvale, CA3y exp
MicrosoftUniversity of Massachusetts Amherst
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