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Vetted Integration Testing Professionals

Pre-screened and vetted.

CL

Senior Machine Learning Engineer specializing in recommender systems, search, and NLP/GenAI

Jersey City, NJ10y exp
InstagramStanford University
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HK

Hassaan Khan

Screened

Executive Technology Leader specializing in distributed systems, cloud infrastructure, and AI/ML

San Francisco, CA21y exp
QuartechCarnegie Mellon University

Engineering leader/player-coach who built and validated a preference-based recommendation engine using clustering, including generating test data to evaluate how clusters evolve over time. Has SRE/DevOps experience and has owned production incidents end-to-end (logging-driven RCA and refactoring patterns that failed at large data scale). Emphasizes quality and platform stability via unit, integration, and load testing, and has managed performance via regular 1:1s and PIPs.

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JD

Senior Software Engineer specializing in distributed systems and high-scale backend platforms

Seattle, Washington8y exp
TikTokUniversity of Washington
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NH

Senior Full-Stack Software Engineer specializing in cloud storage and developer tooling

Waterford, MI7y exp
GoogleUniversity of Connecticut
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MP

Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data

Berkeley, CA12y exp
GoogleColgate University
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NT

Nathan Telles

Screened

Staff Software Engineer specializing in distributed systems, cloud platforms, and AI services

Sunnyvale, CA13y exp
MetaUC Davis

Meta engineer who owned end-to-end production systems for AI-enabled smart glasses, spanning React/TypeScript apps through Node/Java microservices on AWS EKS with Kafka/Postgres. Built and productionized a real-time RAG pipeline (LangChain + OpenAI + Elasticsearch) with rigorous guardrails (shadow/canary, fallbacks, monitoring), delivering major improvements in latency (~35–40%), error reduction (~30%), and engagement (reported +40% DAU).

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GA

Entry-Level Software Engineer specializing in AWS cloud infrastructure and distributed systems

Arlington, VA1y exp
Amazon Web ServicesCaltech

Robotics software engineer with hands-on ROS 2 experience who helped build an autonomous 5-DOF robotic arm that plays Backgammon, owning perception (OpenCV) and game-logic while adding robustness features like lighting tolerance and auto-calibration. Also worked on a Raspberry Pi/LiDAR car project, improving mapping accuracy through data-logged calibration and contributing to multi-robot collision-avoidance coordination via a server-based pub/sub system.

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CW

Senior Software Engineer specializing in distributed backend systems and streaming infrastructure

Menlo Park, CA9y exp
MetaStony Brook University
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MX

Senior Full-Stack Python Engineer specializing in scalable, secure platforms and AI integrations

Mountain View, CA9y exp
GoogleMcMaster University
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JK

Staff-level Software Engineer specializing in distributed systems and ML infrastructure

Austin, TX16y exp
GoogleCornell University
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DL

Senior Full-Stack Engineer specializing in streaming, personalization, and AI/ML platforms

Los Angeles, CA11y exp
NetflixUC Berkeley
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RT

Senior Full-Stack Software Engineer specializing in developer tools and QA automation

Somerville, MA8y exp
GitHubMIT
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MK

Senior Full-Stack Software Engineer specializing in scalable web platforms and cloud services

Bellerose, NY10y exp
GoogleConnecticut College
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AW

Staff Software Engineer specializing in AI infrastructure and distributed systems

Palo Alto, CA11y exp
GoogleTexas A&M University
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BR

Senior Software Engineer specializing in distributed systems and cloud infrastructure

Arlington, TX12y exp
NetflixVirginia Tech
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SL

Staff Software Engineer specializing in FinTech and Healthcare Platforms

Houston, TX13y exp
AmazonColgate University
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KS

Senior Full-Stack Engineer specializing in cloud-native AI SaaS platforms

Cracow, PL10y exp
GoogleMaynooth University
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MN

Madhumita Nagle

Screened ReferencesStrong rec.

Software Engineering Manager specializing in Alexa AI and large-scale distributed systems

Sunnyvale, CA14y exp
AmazonSyracuse University

Engineering manager/player-coach in the Alexa media ecosystem who led delivery of a Tier-1 gateway service enabling third-party providers (e.g., Spotify/Pandora) to control playback across users’ Echo devices, driving 10–15% lifts in engagement metrics. Deep in API design, AWS infrastructure choices (EC2 vs Fargate), OAuth/LWA auth flows, and production rigor (security reviews, load testing, feature-gated dial-ups), with demonstrated incident ownership and operational automation wins.

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