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Vetted Operating Systems Professionals

Pre-screened and vetted.

KS

Junior Robotics Researcher specializing in robot learning and manipulation

Pittsburgh, PA2y exp
CMU Robots Perceiving and Doing LabCarnegie Mellon University
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JM

Software Engineering Intern specializing in backend APIs, Kafka data pipelines, and cloud systems

Austin, TX1y exp
ConfluentUniversity of Texas at Austin
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MD

Mid-level Software Engineer specializing in backend systems and AR/VR sensor calibration

California, United States5y exp
GoogleIndiana University Bloomington
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HG

Senior Technology Consultant specializing in cloud, data engineering, and AI solutions

5y exp
EYCornell University
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HR

Junior Robotics Engineer specializing in autonomous systems and robot learning

2y exp
MicrosoftUniversity of Washington
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EG

Intern Software Engineer specializing in cloud, security, and systems programming

New York City, NY2y exp
AmazonNYU
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VG

Mid-Level Full-Stack Software Developer specializing in AWS cloud and automation

USA5y exp
AmazonNYU
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SS

Intern Full-Stack Software Engineer specializing in distributed systems and cloud services

1y exp
AmazonDuke University
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OC

Senior Software Engineer specializing in developer tools, cloud automation, and generative AI

Redmond, WA13y exp
AmdocsUniversidad Autónoma de Guadalajara

Built and deployed a production chatbot on osvaldocalles.com and iterated through real-world LLM engineering issues: model quota/cost tradeoffs (migrating to Nova Pro), RAG accuracy via semantic chunking, AWS IAM/guardrail/security pitfalls, and Lambda/API Gateway streaming constraints (prefers JS for streaming layer). Experienced with agent orchestration using Strands SDK (AWS-focused) and LangGraph (Vercel/container deployments), plus evaluation pipelines using LLM-as-evaluator, dashboards, and staged model rollouts.

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AS

Ashi Sinha

Screened

Junior Software Engineer specializing in full-stack and ML/NLP systems

New York City, NY2y exp
IBMUniversity of Massachusetts Amherst

Entry-level full-stack engineer with internship experience at Amazon (Appstore IAP flow + uninstall recommendation workflow) and a health-tech startup (OneVector) where they built a DSUR reporting workflow end-to-end, including document generation, S3-backed versioning/metadata, and secure preview/download. Demonstrates strong production debugging and reliability mindset (instrumentation, deterministic retrieval, idempotent writes) and focuses on UX/performance in high-stakes user flows.

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RS

Rakshak Shah

Screened

Intern Software Engineer specializing in cloud, AI, and systems programming

Seattle, WA1y exp
AmazonUniversity of Michigan

AWS intern who significantly evolved a Drift Audit Service backend (Control Tower/EventBridge context) to make drift findings more explainable and reduce false positives by adding a verification step in Lambda before event ingestion. Demonstrates strong API design fundamentals in Python/FastAPI (contracts, idempotency, security controls) and careful rollout practices (feature flags, canaries, phased deployments).

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FG

Frank Goodman

Screened

Executive Engineering & Product Leader specializing in Cloud/SaaS observability and security

San Jose, CA31y exp
GigamonUC Berkeley

Product/technology leader with deep security and cloud infrastructure expertise who drove a major shift from hardware-based networking/security appliances to cloud-native capabilities, growing cloud revenue from $0 to $400M in 4.5 years. Led an innovative eBPF-based approach (“precryption”) to enable lightweight cloud TLS interception/decryption, and has hands-on coding interest (recent Rust work on a personal cybersecurity identity/trust platform).

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VR

Mid-level Software Engineer specializing in cloud, distributed systems, and frontend platforms

Boulder, CO2y exp
LenovoUniversity of Colorado Boulder

Robotics software engineer with hands-on ROS2 experience building an audio conversion node and integrating Whisper LiveKit for streaming speech-to-text in a simulated hostile (outer space) robot environment. Also worked on a 2023 LiDAR + ML vision obstacle-detection project for a hospital-nurse-assistant robot, and has strong large-scale CI/CD deployment experience from AWS (2022–2024) across alpha/pre-prod/prod stages.

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CW

Mid-level Software Engineer specializing in Windows graphics performance and cloud automation

Redmond, WA6y exp
MicrosoftOregon State University

Graphics software engineer with academic robotics/HRI experience at Oregon State University under Dr. Heather Knight, leading a ROS+Python physical robot and Unity/C# VR system to study how motion/texture/collisions are perceived in VR (2 papers + thesis). Also built ROS-based Wizard-of-Oz TurtleBot study systems and multi-robot coordination experiments, plus industry experience with Docker/Kubeflow ML tooling and Azure DevOps CI/CD automation.

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PK

Mid-Level Software Engineer specializing in Android and experimentation

Menlo Park, CA3y exp
MetaSanta Clara University
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NS

Junior Software Engineer specializing in distributed systems, cloud, and data infrastructure

Pittsburgh, PA1y exp
NetAppCarnegie Mellon University
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DC

Intern Software Engineer specializing in cloud infrastructure, data pipelines, and distributed systems

San Francisco, CA1y exp
Abnormal AIUniversity of Waterloo
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XS

Mid-Level Systems Software Engineer specializing in distributed databases and data infrastructure

Los Angeles, CA4y exp
DigitBridgePurdue University
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XW

Junior Software Engineer specializing in backend systems and distributed infrastructure

Remote1y exp
AI-Powered Educational Analytics PlatformCornell University
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DG

Mid-level Data Scientist/ML Engineer specializing in LLMs, NLP, and recommender systems

New York, NY3y exp
AdobeColumbia University
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KL

Kerui Lu

Screened

Intern Software Engineer specializing in cloud, full-stack, and distributed systems

Menlo Park, California0y exp
SLBStanford University

Interned at SLB and owned an end-to-end GenAI chatbot deployment for a finance team, including invoice PDF data extraction and an LLM-driven layer (LangGraph/LangChain) that translated natural language to SQL and returned results in natural language. Validated LLM JSON outputs against benchmarks using DeepDiff and deployed the solution via Docker to Kubernetes, managing pods with k9s.

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AL

Andrew Liang

Screened

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

2y exp
AmazonUCLA

Software engineer with experience at Amazon and Agora building end-to-end systems: a knowledge-base AI chatbot (React/TypeScript UI + retrieval/response backend + Docker deployment) and an internal approval governance platform using AWS Step Functions and DynamoDB. Emphasizes fast iteration without sacrificing trust via feature-flag rollouts, citation-required answers, abstention on low-confidence retrieval, regression query sets, and strong observability (request IDs, structured logs, latency/error monitoring).

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JC

Jingyao Chen

Screened

Junior Backend/Platform Engineer specializing in AI microservices and cloud-native systems

Pittsburgh, PA2y exp
MeowyAICarnegie Mellon University

Cofounder at MeowyAI who shipped a production multimodal (vision/voice/text) AI task manager using Gemini, tackling real-world issues like hallucinations, tool-calling safety, and RAG-based preference memory. Also built a production multi-agent RAG system orchestrated with LangGraph (and contributes to LangChain), with strong emphasis on latency optimization, observability (OpenTelemetry), and rigorous testing/evaluation including A/B tests and adversarial prompting.

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