Vetted Swagger Professionals

Pre-screened and vetted.

KA

Mid-level Software Developer specializing in full-stack and backend systems

Dallas, TX5y exp
Goldman SachsUniversity of Texas at Dallas
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MR

Senior Full-Stack Engineer specializing in FinTech and Healthcare IT

Allentown, PA10y exp
SambaSafetyUniversity of Nevada, Reno
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SC

Senior Software Engineer specializing in backend systems and FinTech screening platforms

Brooklyn, NY10y exp
AccentureLong Island University
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MP

Michelle Poon

Screened

Senior Front-End Engineer specializing in React and TypeScript

Remote, Canada8y exp
Leonardo.AiCarleton University

Frontend engineer with senior-level scope who has shipped complex React/TypeScript products end-to-end, including a multi-page site built solo in four weeks (complex forms, PDF generation, email + localization) and a GraphQL-driven dashboard for a car dealership management platform. Known for modular, testable architecture, performance-minded data fetching (batched calls), and improving design-system consistency via reusable, Storybook-documented components and feature-flagged rollouts.

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NP

Navya Panyala

Screened

Senior Software Engineer specializing in identity, cloud-native microservices, and reactive web apps

Bentonville, AR6y exp
WalmartUniversity at Albany

Product-focused full-stack engineer with Walmart and Dell experience who built and shipped a real-time engagement dashboard end-to-end (Kafka Streams, Spring Boot, React/TypeScript/D3) used daily by business teams, moving them from next-day reports to real-time decisioning. Strong in performance/reliability (Redis caching cut latency ~40%, 90%+ test coverage, Prometheus/CloudWatch monitoring) and production operations on AWS/EKS including handling a cascading failure from a memory leak with zero-downtime rollback and redeploy.

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AB

Senior Software Engineer specializing in React, TypeScript, and scalable web applications

Los Angeles, CA8y exp
20th Century StudiosSan Francisco State University

Full-stack engineer with production experience building and owning high-traffic e-commerce checkout flows in Next.js (App Router) + TypeScript across microservices (REST/GraphQL). Demonstrated measurable performance wins (30% checkout improvement; 85% initial load reduction at 20th Century FOX) and strong production rigor (APM/logs, CloudWatch, Postgres indexing + EXPLAIN ANALYZE), including offloading PDF generation to AWS Lambda.

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Jahnavi Bellapukonda - Mid-Level Software Engineer specializing in full-stack web and cloud systems in Remote, USA

Mid-Level Software Engineer specializing in full-stack web and cloud systems

Remote, USA3y exp
AdobeTexas Tech University

Full-stack engineer with strong data engineering and privacy-domain experience, having owned an automated Data Subject Rights (DSR) processing pipeline end-to-end across Azure SQL and GCP (GCS/BigQuery). Emphasizes production reliability via idempotency, validation checkpoints, structured logging/monitoring, and safe CI/CD-driven deployments, and has also built React+TypeScript + Node/Postgres web apps with scalable, maintainable architecture.

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AG

Aditi Garg

Screened

Mid-level Software Engineer specializing in distributed systems and AI-powered platforms

Sunnyvale, CA3y exp
WalmartOhio State University

Software engineer with experience spanning an SEL internship and Walmart, combining backend/data pipeline work (Python, Kafka, relational DBs) with DevOps practices (Docker, Grafana, GitHub/Jenkins CI/CD, GitOps). Notably contributed to a REST-to-GraphQL migration aimed at reducing cloud utilization and implemented testing strategies to validate the transition.

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SC

Mid-level Python Full-Stack Developer specializing in FinTech and AI integration

Cincinnati, OH6y exp
U.S. BankUniversity of Cincinnati

Python backend engineer with experience combining traditional API/microservices development and GenAI integrations, including healthcare claims workflows. Particularly compelling for teams building production AI systems: they pair hands-on work with LLMs, RAG, LangChain-style orchestration, and AWS deployment with a strong emphasis on reliability, security, and engineering discipline.

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Briant Trainer - Principal cloud consultant specializing in ERP, public sector, and enterprise implementations in California, USA

Principal cloud consultant specializing in ERP, public sector, and enterprise implementations

California, USA25y exp
OracleEmporia State University

Senior cloud/functional consultant with deep experience implementing Oracle and Infor solutions for large public-sector clients, especially permitting, licensing, and EAM-related workflows. Stands out for owning full lifecycle delivery, translating highly regulated requirements into complex configured workflows, and running large-scale UAT/test management across multi-module enterprise programs.

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SG

Junior Software Engineer specializing in AI search and full-stack systems

Denver, CO3y exp
finish’d, Inc.University of Colorado Boulder

AI/full-stack engineer who has built both a real-time crypto sentiment platform from scratch and production enterprise RAG search systems at Kore.ai. Stands out for combining strong systems engineering with practical LLM evaluation, retrieval tuning, and careful human-in-the-loop design for high-risk network automation use cases with Cisco.

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SG

Sindhu Gunti

Screened

Mid-level Full-Stack Java Developer specializing in cloud microservices and AI-driven platforms

Remote, USA5y exp
IntuitChristian Brothers University

Software engineer with Intuit experience shipping an end-to-end real-time financial insights product on AWS, using event-driven architecture with Kafka and Spark Streaming to process millions of records with low latency. Also delivers customer-facing React + TypeScript dashboards and has hands-on production operations experience, including resolving a database scaling incident via read replicas, query tuning, and connection pooling.

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LS

Mid-level Software Engineer specializing in cloud-native microservices and workflow automation

TX, USA5y exp
ServiceNowCalifornia State University, Long Beach

Enterprise platform engineer/product owner who led end-to-end delivery of customer-facing ServiceNow Service Catalog/workflow solutions, emphasizing reliability, security, and fast iteration. Built React/TypeScript portals with Node.js and Spring Boot backends, and improved microservices reliability at scale using Kafka, monitoring, and robust retry/timeout patterns.

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VR

Vaman Rao

Screened

Mid-level Full-Stack Java Developer specializing in microservices and cloud-native web apps

NJ, USA5y exp
UberConcordia University Wisconsin

Backend engineer focused on Python/FastAPI microservices, with hands-on experience deploying to AWS (EKS/ECR) via Jenkins and GitOps-style workflows using ArgoCD. Has built and stabilized real-time Kafka payment-event streaming pipelines and improved production performance under peak load through Redis caching, SQL optimization, and robust retry/DLQ patterns. Also supported phased migrations from on-prem environments to AWS with gradual traffic shifting and monitoring.

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CM

Mid-level Full-Stack Java Developer specializing in payments and event-driven microservices

Arlington, VA5y exp
IntuitGeorge Washington University

Full-stack engineer (backend-led) with recent experience building enterprise workflow orchestration and billing/payment platforms at Intuit using Java/Spring Boot (WebFlux), Kafka, Postgres/Redis, and React/TypeScript. Has operated at high scale (reported ~1200 RPS during month-end billing) and focuses on event-driven microservices, real-time UI updates via streaming, and disciplined API evolution with contract testing.

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AV

Mid-Level Software Engineer specializing in cloud infrastructure and microservices

SLC, USA3y exp
Goldman SachsGeorge Mason University

Backend engineer who has led major platform evolution to cloud-native microservices (Spring Boot on AWS with Terraform) and built scalable, secure FastAPI APIs. Demonstrates strong production rigor with metric-driven validation, canary/phased rollouts, and incremental migrations using shadow traffic/feature flags/parallel writes—achieving faster deployments, fewer incidents, and zero-downtime traffic spikes and migrations.

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TS

Mid-Level Full-Stack .NET Developer specializing in cloud microservices and data pipelines

6y exp
Elevance HealthMissouri State University

Backend/data engineer with experience at Citi and Elevance Health, building end-to-end pipelines and data services in regulated, high-volume environments. They combine Python, SQL, .NET, Azure Functions, and strong observability/reliability patterns to improve processing speed, reduce manual effort, and maintain high uptime across financial and healthcare data platforms.

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Pahuldeep Singh - Senior Full-Stack Developer specializing in scalable web platforms and automation in Remote

Senior Full-Stack Developer specializing in scalable web platforms and automation

Remote6y exp
CalianGeorgia Tech

Backend/full-stack engineer focused on TypeScript/Node.js systems, with hands-on ownership of a real-time telemetry and dashboard platform built on Kafka, Debezium, PostgreSQL, and GraphQL. Stands out for combining event-driven architecture, correctness/idempotency patterns, strong observability, multi-tenant security, and developer-friendly API design in production environments.

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AA

Mid-level Full-Stack Java Engineer specializing in FinTech

United States4y exp
CitigroupUniversity at Buffalo

Engineer with hands-on experience across frontend, backend, and data systems, including React/TypeScript UI work at CitiGroup, ETL pipeline ownership at Accenture, and personal 0→1 builds like an AI chatbot and a real-time multiplayer typing platform. Stands out for combining product-minded prioritization with strong implementation depth in performance optimization, type-safe frontend architecture, and resilient data pipeline design.

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BP

Bhargav Patel

Screened

Mid-level Full-Stack Developer specializing in AI-driven FinTech systems

Remote, USA3y exp
BarclaysRowan University

Built and shipped AI-powered fraud investigation and risk dashboard features at Barclays, combining full-stack engineering with RAG-based LLM systems in a compliance-sensitive environment. Stands out for pairing explainable AI architecture with measurable business impact: improving fraud detection accuracy by 18% while reducing analyst investigation time by 14%.

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