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Vetted Software Engineers

Pre-screened and vetted.

MT

Senior Full-Stack Engineer specializing in payments and commerce platforms

New York City, NY10y exp
StripeUniversity of Texas at Dallas
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DP

Mid-Level Software Engineer specializing in backend, cloud, and CI/CD automation

IL, USA3y exp
GoogleDePaul University
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KB

Executive Technology Leader specializing in Cloud, Data Platforms, and AI/ML

Ridgefield, CT26y exp
Digilytes LLCNational Institute of Technology
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PT

Mid-level Software Engineer specializing in distributed systems on AWS

Seattle, WA3y exp
AmazonUniversity of Waterloo
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DL

Senior Software Engineer specializing in scalable backend microservices and cloud platforms

Irving, TX11y exp
CapgeminiBoston University
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MD

Senior Full-Stack Software Engineer specializing in cloud-native microservices

Irving, TX11y exp
CapgeminiBoston University
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NW

Senior Full-Stack Engineer specializing in Ads and FinTech platforms

Redwood City, CA9y exp
PinterestHarrisburg University of Science and Technology
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KS

Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems

Santa Clara, CA6y exp
NVIDIAUNC Charlotte
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JT

Junior Software Engineer specializing in full-stack web and data platforms

Claremont, CA2y exp
MicrosoftHarvey Mudd College
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CB

Senior Software Engineer specializing in full-stack web/mobile apps and cloud-native systems

Winnetka, IL11y exp
AdobeIllinois State University
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CZ

Senior Full-Stack Engineer specializing in scalable web, cloud, and engagement systems

San Francisco Bay Area11y exp
NewsBreakNYU
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AS

Mid-level Software Engineer specializing in real-time backend systems and FinTech payments

San Francisco, CA6y exp
StripeWebster University
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JL

Senior Software Engineer specializing in Python, cloud microservices, and conversational AI

Chapel Hill, NC11y exp
GoogleUniversity of North Carolina at Chapel Hill
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JS

Senior Full-Stack Engineer specializing in FinTech and fraud/risk systems

Austin, TX11y exp
RampLehigh University
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TM

Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce

San Jose, CA11y exp
AmazonGeorgia Tech
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FZ

Junior Software Engineer specializing in observability and cloud infrastructure

2y exp
FastlyUC Berkeley
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MT

Senior Software Engineer specializing in cloud platforms, data pipelines, and ML

Seattle, WA6y exp
MicrosoftMcMaster University
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SS

Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems

California, USA5y exp
Google DeepMindUniversity of North Texas
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DS

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

2y exp
AppleColumbia University
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SM

Mid-Level Software Engineer specializing in Ads Serving and Machine Learning Systems

Mountain View, CA4y exp
GoogleUniversity at Buffalo
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HS

Senior Data Scientist specializing in large-scale ML systems and recommendations

Fremont, CA14y exp
Credit KarmaUniversity of Illinois Urbana-Champaign
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JS

Joshua Seiden

Screened ReferencesStrong rec.

Executive Technology & Product Leader specializing in emerging tech commercialization

Centennial, Colorado33y exp
AT&TUniversity of Colorado Boulder

Startup operations/product advisor and long-time accelerator mentor who has helped multiple early-stage companies become enterprise-ready—shifting teams to customer-driven roadmaps and implementing CI/Agile delivery processes. Notably supported an Israeli company in landing a Fortune 30 customer before it later IPO’d on NASDAQ, and helped an Australian startup operationalize delivery to secure deployment with a major telecom and sports league.

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BS

Brian Sanders

Screened

Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines

Chicago, IL12y exp
SnapsheetTexas Tech University

Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.

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