Vetted React Professionals

Pre-screened and vetted.

DC

Senior Full-Stack Engineer specializing in healthcare, cloud, real estate, and FinTech

Lynn Haven, FL12y exp
CurativeUniversity of South Florida
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HC

Senior Software Engineer specializing in distributed systems and data-intensive platforms

New York, NY12y exp
Amazon Web ServicesOhio State University
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MC

Executive engineering leader and full-stack engineer specializing in FinTech and AI platforms

San Francisco, CA16y exp
NavigateAICornell University
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SV

Senior Software Engineer specializing in distributed systems and AI-powered platforms

Sunnyvale, CA12y exp
AmazonArizona State University
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DD

Senior Software Engineer specializing in Python and AWS cloud backend systems

Austin, TX8y exp
Royal.ioUSC
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RD

Mid-level Software Engineer specializing in systems, CUDA, and robotics/AI

Santa Clara, CA2y exp
NVIDIAGeorgia Tech
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KC

Staff Software Engineer specializing in Healthcare SaaS and real-time systems

Seattle, WA11y exp
AmazonMonash University
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YF

Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI

Irvine, CA5y exp
AmazonUniversity of Chicago
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HT

Senior Full-Stack Software Engineer specializing in large-scale streaming platforms

Seattle, WA10y exp
DisneyNYU
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QG

Staff Software Engineer specializing in FinTech and scalable distributed systems

Menlo Park, CA12y exp
RobinhoodAugusta University
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MM

Mid-level Solutions Engineer specializing in ads platforms and ML-driven marketing systems

San Jose, CA6y exp
ByteDanceUniversity of Florida
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WW

Senior AI Engineer specializing in machine learning, NLP, and generative AI

Madison, WI13y exp
AmazonCase Western Reserve University
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AO

Senior Software Engineer specializing in backend systems and compliance workflows

Mill Creek, WA7y exp
FrontUniversity of Washington
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ZW

Senior Software Engineer specializing in distributed systems, AI platforms, and data infrastructure

Newark, CA15y exp
NetflixWestern Governors University
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DC

Senior Software Engineer specializing in AI backend platforms and FinTech systems

Hoboken, NJ11y exp
DoorDashOhio State University
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PV

Director-level Software Development Manager specializing in large-scale cloud platforms

San Jose, California13y exp
Amazon
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Sumer Joshi - Senior Full-Stack Engineer specializing in backend systems and AI applications in Remote

Sumer Joshi

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in backend systems and AI applications

Remote13y exp
MercorSanta Clara University

Candidate is deeply focused on AI-native software development, using a deliberate planner/implementer agent workflow with tools like Cursor, Claude, and Kimi. They also built a personal project called Config Proctor, an AI-agent-driven Terraform/AWS self-healing system that identifies infrastructure configuration gaps and proposes fixes.

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AS

Akshat Shah

Screened ReferencesStrong rec.

Entry-level Software Engineer specializing in full-stack and AI systems

Los Angeles, CA1y exp
Integrated Media Systems CenterUSC

Frontend-leaning full-stack engineer who described owning an artist search and detail experience across UI, backend integrations, and data modeling. They show practical strength in scalable React architecture, TypeScript safety, and performance tuning, with a product-minded approach to shipping 0→1 features quickly and iterating after launch.

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TS

Titilope Soda

Screened ReferencesStrong rec.

Senior SharePoint Developer/Analyst specializing in enterprise portals, forms, and workflow automation

King of Prussia, PA17y exp
Johnson MattheyGeorgia Tech

SharePoint specialist with 10+ years delivering end-to-end business process solutions (forms, workflows, pages) and leading on-prem to SharePoint Online migrations. Has hands-on experience building SPFx React + TypeScript dashboards integrated with Nintex workflows, and has solved scale issues in large libraries (50k+ items) by redesigning permission architecture and archiving content. Also partners with product/design on Power BI dashboards, creating layered executive-to-operator UX with drill-through detail.

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Manaswini Gogineni - Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development in San Francisco, CA

Manaswini Gogineni

Screened ReferencesStrong rec.

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

San Francisco, CA2y exp
CiscoUniversity of Wisconsin–Madison

Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.

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SM

SOURABH MISHRA

Screened ReferencesModerate rec.

Senior Software Engineer specializing in FinTech and distributed systems

Seattle, WA6y exp
AmazonUniversity of Cincinnati

Backend/AI engineer who has built a rule-service platform on AWS and evolved it into an agentic RAG system using LangChain, ReAct, tool calling, and LLM-as-judge review. Notable for combining heavy AI-assisted development with production safeguards like manual CR, CloudWatch monitoring, fallback strategies, benchmark testing, and user-feedback-driven model improvement.

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QL

Qianfan Luo

Screened

Junior Software Engineer specializing in backend systems and AI/ML pipelines

San Francisco, CA2y exp
Persona IdentitiesCarnegie Mellon University

Robotics-focused engineer with ROS 2 experience who has built and debugged real-time, distributed control/orchestration systems under production-like latency and safety constraints. Led platform changes at Persona for a real-time verification orchestration system using deterministic state machines and async workers, and has hands-on experience stabilizing multi-robot navigation/SLAM behavior using rosbag, RViz, and stress testing in simulation (Gazebo).

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JQ

Jolie Qiu

Screened

Mid-Level Software Engineer specializing in AWS data infrastructure and pipeline automation

5y exp
AmazonUSC

AWS-focused software engineer who built a self-serve ETL pipeline scheduling service for non-engineers, including automated CloudFormation-based onboarding that cut setup time from 2–3 weeks to ~5 minutes. Strong in production reliability and customer-facing data platforms (EMR/DynamoDB/Lambda), with examples spanning pagination at scale, cross-table consistency, and phased rollouts to improve Parquet log SLAs.

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