Vetted Postman Professionals

Pre-screened and vetted.

SD

Mid-level Full-Stack Developer specializing in cloud-native web applications

Dallas, TX4y exp
ScienceSoftClemson University

Full-stack engineer with strong ownership across React, FastAPI, and PostgreSQL who has built real-time collaboration and analytics workflows end-to-end. Particularly compelling for high-growth AI product teams: they’ve also shipped a 0→1 AI-assisted dataset retrieval and summarization capability, balancing MVP speed with scalable architecture and post-launch performance tuning.

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BG

Mid-Level Full-Stack Software Engineer specializing in cloud microservices and data engineering

TX, USA4y exp
CVS HealthSouthern Arkansas University

Software engineer with robotics and data-platform experience from CVS Health, spanning Java/Spring Boot microservices, secure APIs, React dashboards, and Snowflake/SSIS ETL optimization. Hands-on ROS 2 developer who built real-time LiDAR obstacle-detection nodes, improved SLAM performance, and coordinated multi-robot communication using DDS, with simulation/testing via Gazebo and CI/CD deployments using Docker and Jenkins.

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KH

Kenny Ho

Screened

Mid-level Full-Stack Developer specializing in React, monorepos, and AWS

Burnaby, Canada5y exp
South Vancouver Medical ClinicUniversity of British Columbia

Frontend/product engineer who has led end-to-end builds across automotive and healthcare: created a multi-tenant, high-performance Next.js luxury inventory platform and a secure, Stripe-powered sick-note workflow integrated with an EMR. Known for data-driven UX decisions (A/B testing) and pragmatic modernization of critical systems (3DS2 upgrade) with measurable conversion and risk improvements.

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PS

Mid-level Software Engineer specializing in Java microservices and distributed systems

Tempe, AZ4y exp
Arizona State UniversityArizona State University

Systems Engineer at Tata Consultancy Services with hands-on ownership of enterprise logistics microservices (Spring Boot) using Kafka integrated with Azure Event Hubs, including partitioning strategies and operational handling of consumer lag/duplicate events. Also built a full-stack road-accident blackspot detection application using Python-based spatial clustering and model evaluation with a JavaScript/Mapbox frontend.

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MS

Manoj Suggala

Screened

Mid-level Software Engineer specializing in cloud-native microservices for FinTech and Insurance

Texas, USA3y exp
AIGGeorge Mason University

Backend engineer who owned an order management API built with Python/FastAPI and PostgreSQL, integrating payment and shipping providers with strong reliability patterns (idempotency, async workers, retries/backoff, circuit breakers). Experienced deploying services to Kubernetes using a GitOps model with ArgoCD (auto-sync, self-healing, pruning, rollbacks) and building high-volume Kafka streaming pipelines. Has also supported phased cloud-to-on-prem migrations with a focus on security monitoring/SIEM log continuity.

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VS

Mid-level Full-Stack Software Developer specializing in cloud-native microservices

WI, USA5y exp
HCLTechWright State University

Product-focused full-stack engineer (Spring Boot/Django + React/TypeScript) with deep experience building multi-tenant, enterprise workflow and supply-chain/order-tracking systems. Owned an end-to-end Workflow SLA Breach Prediction & Alerting feature integrating Azure ML for a cloud workflow platform used by ~10,000 enterprise users, and has hands-on AWS operations experience resolving real production latency/scaling incidents via query optimization and Redis caching.

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PK

Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and data analytics

Oklahoma City, USA5y exp
Wells FargoOklahoma City University

Software engineer with experience at Wipro Technologies and Wells Fargo building React-based SPAs, reusable component libraries, and developer documentation. Demonstrated strong performance engineering (React.memo, list virtualization, code splitting) with reported >50% rendering-time improvement, plus hands-on production support by diagnosing API outages via monitoring/logs and implementing traffic/server fixes. Comfortable leading workstreams in fast-changing environments using Kanban and tight stakeholder feedback loops.

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SG

Mid-level Full-Stack Software Engineer specializing in cloud-native systems and identity verification

Jersey City, NJ4y exp
Charles SchwabLong Island University Brooklyn

Full-stack developer with strong cloud/on-prem focus (AWS, VPC networking) who has improved production reliability by bringing manually created IAM/security group resources under Terraform and standardizing environments. Demonstrated end-to-end troubleshooting across app + infrastructure + networking (traffic capture revealed proxy response truncation) and delivered Python-based monitoring/reporting enhancements that improved ops visibility and turnaround.

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SC

Snehal Chavan

Screened

Mid-Level Software Engineer specializing in backend systems and cloud infrastructure

California, USA4y exp
California State University, FullertonCalifornia State University, Fullerton

iOS full-stack/mobile engineer who built a SwiftUI (MVVM) barcode-scanner app using VisionKit for on-device, low-latency recognition, focusing on responsiveness via continuous scanning and debouncing. Also has Capgemini customer-facing support experience resolving restored-file access/permissions issues and receiving positive CSAT feedback.

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VS

Senior Full-Stack Software Engineer specializing in .NET, cloud, and microservices

San Ramon, CA15y exp
ProQuestGlobal Academy of Technology

Backend-leaning full-stack engineer who led a legacy monolith-to-microservices migration (OAuth, Redis, ActiveMQ) while shipping incrementally via CI/CD to avoid user disruption. Strong in search/filter experiences and performance tuning (Solr schema + relevance boosting) with measurable impact (login reduced to ~5s), plus React/TypeScript UI work including configuration-driven filters and shareable URL state.

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DA

Danish Asim

Screened

Mid-Level Full-Stack Engineer specializing in cloud-native e-commerce and AI/ML systems

Dearborn, MI3y exp
University of MichiganUniversity of Maryland, College Park

Full-stack engineer with strong ownership in fast-moving environments: designed and shipped a pre-order/campaign inventory system (NestJS + Strapi + Datadog) that freed 34% warehouse space and reduced stock risk to ~5.7%. Also built rapid, high-impact logistics features (Spot Sales) that drove last-mile cost to ~0 in ~40 days, and has hands-on AWS/Terraform/CI-CD experience including deploying a global RAG system with Pinecone, Datadog, and PagerDuty.

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DB

Deepak Bantu

Screened

Mid-level QA Automation Engineer specializing in healthcare applications

Remote, USA5y exp
WalgreensUniversity of Colorado Denver

QA automation engineer with deep experience owning end-to-end Cypress/JavaScript test suites (smoke, regression, and API contract tests) integrated into GitHub CI with merge gating and rich reporting. Demonstrated healthcare enrollment domain expertise by catching a critical eligibility versioning/overwrite defect via API + DB assertions that UI tests missed, then hardening the pipeline with contract tests and idempotency checks.

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SD

Mid-level Full-Stack Python Developer specializing in cloud-native healthcare and FinTech apps

TX, USA4y exp
CitiusTechUniversity of North Texas

Full-stack engineer with healthcare and fintech experience who has owned production features end-to-end—most notably an AI assistant clinical risk summary tool on AWS (FastAPI/Lambda + React/TypeScript) that cut analyst review time ~40%. Strong in performance tuning for large datasets (S3/Athena), production ops/observability (CloudWatch, CI/CD, env separation), and building reliable ETL/integrations with idempotency and retries.

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HG

Hanyang Ge

Screened

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

Montgomery, AL4y exp
State of AlabamaCase Western Reserve University

Backend/full-stack engineer with experience building internal government and banking platforms, including a branch operations management system at Bank of China (React/Apollo + Node GraphQL + MongoDB) and a capital project management service for the State of Alabama (Spring Boot + PostgreSQL). Emphasizes maintainable API design, strong validation/data integrity, RBAC/JWT security, and production reliability through clear service boundaries, logging, and monitoring.

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ND

Staff Software Engineer/Architect specializing in Java microservices and multi-cloud (AWS/Azure)

California, USA19y exp
NTT DATAUniversity of Hyderabad

Backend/platform engineer with State Farm experience modernizing and scaling an enterprise consolidated payment data platform and event-driven pipelines. Built cloud-native payment architecture (ECS->EKS) handling millions of financial transactions/day and high-volume telemetry (~100M events/day), with strong schema governance (Avro + schema registry) and production operations/incident mitigation driven by observability.

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ammar mohammed - Junior Full-Stack Web Developer specializing in modern JavaScript frameworks in Cairo, Egypt

Junior Full-Stack Web Developer specializing in modern JavaScript frameworks

Cairo, Egypt1y exp
FawryInformation Technology Institute (ITI)

Frontend-focused engineer (also capable on backend) who led an end-to-end e-commerce project and has built 3–4 admin dashboards across e-commerce, real estate, and invoicing/branch-management contexts. Demonstrates practical decision-making around React/TypeScript state management (Redux/Zustand/Context) and performance optimization in React/Next.js (memoization, lazy loading, image optimization), with an emphasis on usable UX and rapid delivery via mock-data-driven parallel FE/BE development.

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Darshan Togadiya - Mid-level Full-Stack Engineer specializing in cloud-native web apps in Rancho Cucamonga, CA

Mid-level Full-Stack Engineer specializing in cloud-native web apps

Rancho Cucamonga, CA5y exp
MicroNOCCalifornia State University, San Bernardino

Full-stack engineer in an early-stage startup who built an EV charger monitoring and payments dashboard from scratch, owning UI/UX (Figma), React frontend, Node/Postgres APIs, and production deployment/ops (Firebase + AWS). Demonstrated measurable impact (40% fewer reconciliation errors) and strong reliability chops through multi-source energy/payment ingestion, idempotent pipelines, and CloudWatch-driven incident resolution.

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Manali Kishor Gawande - Junior SDET/QA Automation Engineer specializing in FinTech testing and CI/CD automation in Tempe, AZ

Junior SDET/QA Automation Engineer specializing in FinTech testing and CI/CD automation

Tempe, AZ2y exp
Arizona State UniversityArizona State University

QA automation engineer from Bajaj Finance who owned end-to-end automated test suites for large-scale web/mobile products (70M+ users), building Python and API automation integrated with Jenkins/Azure DevOps. Drove measurable quality outcomes (40% less regression effort, 35% fewer production defects, 98% successful UAT across 25+ releases) and has strong fintech lending domain experience (loan disbursement/repayment/eligibility).

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Hrishi Kamal Earla - Senior Full-Stack Java Developer specializing in cloud-native FinTech microservices in Remote, CA

Senior Full-Stack Java Developer specializing in cloud-native FinTech microservices

Remote, CA7y exp
DiscoverCalifornia State University, Long Beach

JavaScript/React engineer with hands-on open-source library contribution experience, including thoughtful PRs that improved error handling, API flexibility, and added features backed by tests and documentation. Demonstrates a profiling-first approach to UI/runtime performance (memoization, component splitting, render-path optimization) and strong community support skills—reproducing edge cases, delivering sustainable fixes, and communicating workarounds and releases.

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Daanesh Potnuri - Mid-Level Full-Stack Engineer specializing in API-driven microservices and cloud delivery

Mid-Level Full-Stack Engineer specializing in API-driven microservices and cloud delivery

5y exp
World Disaster CenterPenn State University

Software engineer with hands-on experience building a decentralized file-sharing dApp, bridging a React frontend with Ethereum smart contracts via Web3.js and integrating IPFS for decentralized storage. Demonstrates a rigorous, measurement-driven approach to performance optimization (profiling + benchmark/regression loop) and strong ownership in high-stakes environments, including Fircosoft sanctions platform optimization and rapid production hotfixes for user-impacting issues.

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Haritha Peddi - Mid-level SOC Analyst specializing in SIEM detection, threat hunting, and incident response in USA

Haritha Peddi

Screened

Mid-level SOC Analyst specializing in SIEM detection, threat hunting, and incident response

USA5y exp
UnitedHealth GroupTrine University

Backend/AI engineer with production experience in payments/reporting systems and high-scale Node/NestJS services on AWS (ECS/ALB) using PostgreSQL, Redis, Kafka, Prisma, and Datadog. Shipped applied AI features including a Zendesk-embedded support copilot (summarization, draft replies, internal doc retrieval, playbook next steps) and an LLM-driven ops workflow agent with robust error taxonomy, retries/escalation rules, and auditability.

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SM

Mid-level Full-Stack Engineer specializing in cloud and FinTech platforms

Redmond, WA4y exp
Aptly TechNortheastern University

Full-stack product engineer with hands-on experience shipping React/TypeScript applications on AWS serverless infrastructure with Postgres. Stands out for combining measurable performance optimization (~30% faster APIs), UX improvements that lifted activation by 25%, and pragmatic platform thinking through reusable hooks and safe multi-tenant dashboard customization.

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Varun Sharma - Mid-level AI Builder and Data Engineer specializing in GenAI and data pipelines in Remote, USA

Varun Sharma

Screened

Mid-level AI Builder and Data Engineer specializing in GenAI and data pipelines

Remote, USA4y exp
Modern StreamingDrexel University

Full-stack AI product engineer who personally built ViGenAir, a multimodal system that turns long-form video into ads using FastAPI, React, and agentic scoring. Stands out for handling complex 50GB+ media pipelines, re-architecting systems to eliminate OOM failures, and making opaque AI workflows usable through interactive visual UX that improved trust, speed, and retention.

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