Vetted GraphQL Professionals

Pre-screened and vetted.

Kevin Lam - Senior Frontend Engineer specializing in React, TypeScript, and accessibility in Remote

Kevin Lam

Screened

Senior Frontend Engineer specializing in React, TypeScript, and accessibility

Remote8y exp
RewstUC Santa Barbara

Frontend product engineer who has owned complex B2B SaaS surfaces end-to-end, especially operational dashboards and workflow-builder experiences at Rewst. Stands out for combining product thinking with scalable React/TypeScript architecture, API-shaping with backend teams, and a strong focus on maintainability, performance, and design-system quality.

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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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NP

Nikita Prasad

Screened

Mid-level AI/ML Engineer specializing in NLP, MLOps, and scalable data pipelines

Remote, USA5y exp
JPMorgan ChaseUniversity of Dayton

Built and shipped a production LLM-powered personalized client engagement assistant in the financial domain, balancing real-time recommendations with strict privacy/compliance requirements. Demonstrates strong MLOps/LLMOps depth (Airflow + MLflow, containerized microservices, drift monitoring) and a privacy-by-design approach validated in collaboration with risk and compliance teams.

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NG

Executive Technology Leader specializing in Financial Services, Payments, and Cloud/AI modernization

Dallas, TX24y exp
Augusta HitechCarnegie Mellon University

CTO/enterprise architect who stays hands-on in code while leading strategy, stakeholder alignment, and team scaling. At Eastridge, established product and technology vision/roadmap, built product engineering/strategy functions, and helped launch products into global markets; most recently led GenAI product design including tech selection, infrastructure, scalability, and observability.

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MS

Mid-level Software Engineer specializing in FinTech full-stack and AI applications

Remote, USA3y exp
JPMorgan ChaseArizona State University

Built and productionized an NLP-powered customer support assistant at JPMorgan Chase for digital banking, focused on reducing response time for repetitive client queries. Strong in real-world AI deployment challenges—sensitive data handling, low-latency FastAPI services, and AWS/Kubernetes operations with CI/CD—plus a metrics- and guardrails-driven approach to reliable AI workflows.

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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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HR

Harsh Ranpura

Screened

Mid-Level Software Engineer specializing in FinTech payments and fraud detection

Remote, USA3y exp
MastercardLoyola Marymount University

Backend/platform engineer with payments domain experience, having owned core services for MasterCard’s global card tokenization and settlement platform. Built Django/Celery microservices plus Kafka/Redis real-time fraud streaming, delivering 27% latency improvement, sub-100ms fraud checks, and 18% fewer false positives. Strong DevOps/IaC background across Kubernetes, AWS ECS, Terraform, GitHub Actions, and GitOps practices for high-scale transaction systems (including UPI at PhonePe).

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ES

Senior Engineering Manager specializing in cloud platforms and risk systems

16y exp
Capital OneGovernment College of Technology, Coimbatore

Engineering leader who proposed and delivered a new API-based document management platform to replace a vendor-dependent system, improving latency by ~1s and availability to 99.9% while migrating legacy data. Also drove Python-based automation of ~12 workflows via third-party API integrations and led an SSO/auth integration focused on backward compatibility and high login success rates.

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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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Maranatha Ilesanmi - Senior Frontend Engineer specializing in React and TypeScript in Kitchener, Canada

Senior Frontend Engineer specializing in React and TypeScript

Kitchener, Canada11y exp
CartaObafemi Awolowo University

Frontend engineer with deep experience modernizing KYC flows at Carta, including rebuilding country-specific KYC forms into a scalable configuration + validation-schema system that cut new-jurisdiction support from 2–3 months to ~2 weeks. Strong on quality and rollout practices (E2E/backend testing, early QA engagement, staged/A-B rollouts) and performance optimization for heavy React/TypeScript dashboards using Intersection Observers for lazy loading.

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João Arruda - Senior Frontend Engineer specializing in Vue.js, testing strategy, and scalable architecture in Remote, EU

João Arruda

Screened

Senior Frontend Engineer specializing in Vue.js, testing strategy, and scalable architecture

Remote, EU15y exp
TheyDoSENAC São Paulo

Frontend engineer/lead focused on scalable architecture and reusable UI platforms: built a schema-driven, IoC-based unified filtering system across an app with feature-flagged rollout and strong TypeScript/testing discipline. Also created a standalone React NPS survey package that works across microfrontends (handling peer dependency/version issues) and implemented accessibility improvements for complex interactions like drag-and-drop while leading an Atomic Design → Feature-Sliced Design migration.

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Thomas To - Mid-level Full-Stack Engineer specializing in AI/ML data platforms for biotech and FinTech in Emeryville, CA

Thomas To

Screened

Mid-level Full-Stack Engineer specializing in AI/ML data platforms for biotech and FinTech

Emeryville, CA6y exp
Canventa Life SciencesUC Davis

AI/ML full-stack practitioner in a small-scale manufacturing/lab operations environment who deployed a production ML system to improve blood cell order fulfillment by predicting yield/success from donor characteristics. Experienced building custom multi-agent orchestration (Python, LangChain/LangGraph, MCP) and balancing reliability, data quality constraints, and token/ROI economics while communicating tradeoffs to VP-level business stakeholders.

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Satwik Alla - Mid-level Full-Stack Software Engineer specializing in scalable APIs and real-time AI apps in United States of America

Satwik Alla

Screened

Mid-level Full-Stack Software Engineer specializing in scalable APIs and real-time AI apps

United States of America3y exp
Cosmo AGI, LLCUniversity of Maryland, Baltimore County

Lead software engineer (3+ years) who built and scaled an AI product backend at Cosmo AGI from the ground up using FastAPI/Postgres/Redis/vector DB, targeting sub-200ms latency and supporting 1000+ active users. Strong in production-grade security and observability (OAuth/JWT, RBAC, Postgres RLS, Prometheus/Sentry), plus DevOps automation (Docker, GitHub Actions, blue-green deploys) with measurable impact on uptime, incidents, engagement, and deployment speed.

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Sragvi Vadali - Junior Software Engineer specializing in AI/ML and real-time systems

Sragvi Vadali

Screened

Junior Software Engineer specializing in AI/ML and real-time systems

2y exp
University of Southern CaliforniaUSC

Backend/AI engineer who built a real-time vector database system for high-frequency financial data using Kafka/Flink on Kubernetes, achieving sub-100ms similarity search at 10k+ concurrent load and resolving tricky duplication issues with idempotency/versioning. Also shipped an end-to-end LLM-based travel itinerary feature (profiling + prompt workflows + APIs) with a focus on quality consistency and low latency.

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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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MG

Mid-level Software Development Engineer specializing in cloud-native AI/ML systems

California, USA4y exp
ServiceNowCal State Long Beach

AI/ML-focused engineer with practical experience building RAG-based and multi-agent systems, including architectures for retrieval, reasoning, context processing, and response generation. Stands out for combining LLM productivity gains with disciplined software engineering practices like validation, monitoring, and reproducibility.

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RR

Senior Frontend Engineer specializing in React platform architecture

New York, NY11y exp
CitigroupAutonomous University of Aguascalientes

Frontend architecture leader with experience at Citi and Warner Bros. Discovery, building high-performance browser UIs for demanding enterprise and media workflows. Stands out for combining design-system standardization, deep browser performance optimization, and measurable impact: ~50% frontend improvement and 40% faster feature delivery across a 20+ engineer team.

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Deepthi Pamisetty - Mid-level Full-Stack Engineer specializing in FinTech and cloud-native systems in Dallas, TX

Mid-level Full-Stack Engineer specializing in FinTech and cloud-native systems

Dallas, TX6y exp
JPMorgan ChaseUniversity of Texas at Arlington

Full-stack engineer with production experience building AI-powered search and automation systems at JPMorgan Chase and customer-facing product features at Wayfair. Stands out for combining React frontend work with backend microservices, RAG/LangChain AI integration, and cloud-scale performance tuning, including a support chatbot that reduced ticket resolution time by 35%.

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RK

Rajesh Kilari

Screened

Mid-level Full-Stack Software Engineer specializing in AI applications

New York, NY5y exp
IBMTrine University

IBM full-stack engineer focused on document automation for internal and government use cases, building Java Spring Boot services and React/TypeScript UIs that automate XML-to-multilingual PDF workflows. Stands out for turning complex backend automation into usable tools for non-technical operations teams while improving processing speed and reducing manual effort.

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MT

Mikko Tormala

Screened

Director of Software Engineering specializing in AI-native full-stack product engineering

Los Angeles, CA25y exp
SiemensMetropolia University of Applied Sciences

Engineering director and former front-end engineering manager with a strong blend of people leadership, UX/design-system ownership, and hands-on technical depth. At Siemens, they led a 15-person US/Europe team through a SaaS-era design-system transformation, winning over resistant product teams and exceeding adoption goals; at Intellimize, they solved legacy-browser constraints with a custom TypeScript-based build pipeline that improved quality, morale, and user experience.

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Pujan Parikh - Staff Front-End Engineer specializing in enterprise cloud and AI-driven applications in Redwood City, CA

Pujan Parikh

Screened

Staff Front-End Engineer specializing in enterprise cloud and AI-driven applications

Redwood City, CA8y exp
OracleSan Jose State University

Frontend-leaning architect with deep React/TypeScript expertise who has repeatedly owned platform-level problems across Oracle Health, Oracle Cloud, and Veritas. Stands out for building cross-plugin routing standards for a next-gen EHR, high-scale real-time observability dashboards, and even stepping into backend/AI infrastructure design with Kafka- and RAG-based systems.

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DM

Dave Marr

Screened

Director-level Engineering Leader specializing in full-stack web platforms and AI integration

Cambridge, MA16y exp
Context LabsUniversity of New Hampshire

Frontend engineer with deep experience building high-performance, data-heavy web applications, especially geospatial and climate/energy visualization products. Has led React/TypeScript architecture for large interactive UIs and designed Mapbox/MVT-based systems that dramatically reduced payload size and improved responsiveness in production.

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PR

Mid Software Engineer specializing in FinTech and AI systems

Arizona, USA3y exp
BlackRockArizona State University

Full-stack engineer whose strongest hands-on work is a self-built real-time collaborative code editor spanning React, Node.js, Express, and WebSockets. They stand out for owning both product UX and backend synchronization challenges, with a clear bias toward simplicity, low-latency collaboration, and modular architecture in early-stage product building.

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