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Vetted Postman Professionals

Pre-screened and vetted.

PS

Mid-level Full-Stack Java Developer specializing in FinTech and cloud microservices

New Milford, NJ3y exp
Ally FinancialMontclair State University
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ST

Mid-level QA Engineer specializing in test automation for healthcare and financial platforms

Sunnyvale, CA4y exp
CitiusTechCal State San Bernardino
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SM

Mid-level Software Engineer specializing in backend APIs and React full-stack development

MA, USA4y exp
Dell TechnologiesClark University
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AS

Mid-level Healthcare Business Analyst specializing in EHR/EMR interoperability and claims operations

New Jersey, USA7y exp
HumanaSaint Peter's University
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DP

Entry-Level Full-Stack Software Engineer specializing in AI agents and cloud-native apps

1y exp
ScriptsHub TechnologiesUniversity of Cincinnati
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YP

Mid-level Software Engineer specializing in backend systems, APIs, and cloud microservices

TX, USA4y exp
DXC TechnologyTexas A&M University
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NB

Mid-level Generative AI Engineer specializing in LLM, RAG, and multimodal enterprise solutions

Maineville, OH3y exp
OneMain FinancialCentral Michigan University
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KN

Senior QA Automation Engineer (SDET) specializing in Python, Playwright, and API testing

9y exp
NCP FinanceIIVET
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NS

Mid-level Full-Stack Software Developer specializing in cloud microservices and healthcare interoperability

Irving, USA5y exp
HarmonecareIllinois Institute of Technology
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JT

Senior QA Engineer specializing in game and interactive application testing

Austin, TX11y exp
AccentureUniversity of Antelope Valley
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RM

Senior Software QA Engineer specializing in test automation and API validation

10y exp
Education DynamicsUC Santa Cruz
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SK

Senior Full-Stack & Cloud Engineer specializing in AWS Serverless SaaS

9y exp
Republic Services
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HK

Himanshu Kiran Garud

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in full-stack web and data engineering

United States4y exp
EPRIUniversity of North Carolina at Charlotte

Backend/ML engineer who has built both enterprise data pipelines and real-time AI products: modular Python (Flask/FastAPI) services integrating automation scripts and low-latency ML inference (MediaPipe, PyTorch) plus OpenAI-powered feedback. Demonstrated measurable performance wins (~30% faster HR workflows; ~40% faster AWS pipelines across 100+ Oscar Health feeds) and strong multi-tenant/data-isolation patterns (schema-based isolation, RBAC, microservices).

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PR

Priyanka Ramesh

Screened ReferencesStrong rec.

Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React

Boston, MA2y exp
IpserLabNortheastern University

Backend engineer (IpserLab) who owned Python services for a production quiz/analytics platform, focusing on reliability and low-latency behavior under peak load. Hands-on with Kubernetes + Docker deployments and GitHub Actions CI/CD in a GitOps-style workflow, including solving configuration drift and enabling fast rollbacks. Also implemented Kafka-based event streaming with idempotent consumers and strong observability (lag tracking, structured logging, alerting).

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SR

Sandeep Reddy

Screened ReferencesStrong rec.

Mid-level SRE/DevOps Engineer specializing in cloud infrastructure automation and Kubernetes

Jacksonville, Florida5y exp
Transcor Data ServicesFlorida International University

Cloud/SRE-style engineer at TDS supporting revenue-critical transportation SaaS platforms on AWS/GCP with Kubernetes. Has hands-on experience leading high-impact production work including DDoS mitigation, zero-downtime MSSQL→PostgreSQL migration using CDC, and building secure GitHub Actions + ArgoCD delivery pipelines and Terraform-based GKE infrastructure.

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NB

Nash Boisvert

Screened ReferencesStrong rec.

Senior Full-Stack Software Developer specializing in web, mobile, and cloud platforms

Edmonton, Canada5y exp
The Sports AuxiliaryNorthern Alberta Institute of Technology

Frontend engineer who built a live sports games hub end-to-end: ingesting and normalizing data from 4 external APIs, populating a high-volume live table, and delivering a real-time WebSocket-driven React/TypeScript dashboard. Strong on scalable architecture (SOLID, layered design, queues), performance/load testing with Docker, and startup-style ownership across code review, QA, and staged rollouts to web and app stores.

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