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Vetted Postman Professionals

Pre-screened and vetted.

BW

Senior Software Engineer specializing in cloud platforms and healthcare AI

San Jose, CA12y exp
GoogleBrown University
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TM

Senior Python Developer specializing in FinTech and RegTech payment systems

San Francisco, CA10y exp
StripePrinceton 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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UM

Upender Mula

Screened

Mid-level Software Engineer specializing in backend systems, real-time data pipelines, and FinTech

San Francisco, CA5y exp
StripeSaint Louis University

Backend/platform engineer who has owned real-time reporting and streaming analytics systems end-to-end, combining FastAPI/Postgres APIs with Kafka consumers, Celery background jobs, and Redis caching. Strong DevOps/GitOps experience deploying Python/Node microservices to AWS EKS with Helm, ArgoCD/FluxCD, and CI pipelines, and has supported phased on-prem to AWS migrations using Terraform and traffic cutovers.

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AC

Andrew Coven

Screened

Executive Software Engineering Leader specializing in AI/ML products and large-scale platforms

Los Gatos, CA38y exp
OutputSanta Clara University

Engineering leader who drove Lightroom Mobile’s roadmap at Adobe by enforcing reuse of Photoshop imaging tech to deliver RAW, non-destructive mobile editing with full Creative Cloud compatibility. In startup environments, has repeatedly scaled and professionalized engineering orgs (career ladders, evaluation systems, delivery process) and led high-stakes cloud/platform transformations—migrating off Heroku and consolidating fragmented AWS/GCP usage into a single GCP platform—improving reliability, deploy speed, and cutting cloud costs by 20%+.

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IN

Staff-level Software Engineer specializing in distributed systems and cloud platforms

Dickinson, TX13y exp
WheelUniversity of Texas at Austin
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DI

Mid-level Software Engineer specializing in Microsoft 365 Copilot and Outlook Mobile

Aurora, IL6y exp
MicrosoftDuke University
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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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MS

Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML

San Jose, CA12y exp
CoupangCarnegie Mellon University
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CW

Senior Software Engineer specializing in AI/ML and LLM-powered applications

Morgan City, LA11y exp
AetnaUniversity of Illinois Urbana-Champaign
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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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YC

Senior Software Engineer specializing in scalable web apps, real-time systems, and AI integration

San Jose, CA12y exp
MetaBrandeis University
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JC

Staff Software Engineer specializing in cloud-native healthcare and payments platforms

Garland, TX14y exp
AmazonUniversity of Texas at Dallas
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SL

Staff Software Engineer specializing in FinTech and Healthcare Platforms

Houston, TX13y exp
AmazonColgate University
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JC

Staff Software Engineer specializing in cloud-native healthcare and payments platforms

Remote14y exp
AmazonUniversity of Texas at Dallas
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DG

Mid-level Full-Stack Developer specializing in Java/Spring Boot and React

Seattle, WA5y exp
ShopifySaint Louis University

NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.

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MC

Staff Software Engineer specializing in Healthcare IT and mobile platforms

Berkeley, CA12y exp
AmazonSan Francisco State University
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BB

Mid-level Software Engineer specializing in backend and cloud microservices

Washington, USA4y exp
BNY MellonUniversity of Washington
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SN

Mid-Level Backend Software Engineer specializing in payments and real-time analytics

CA5y exp
StripeSaint Louis University
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