Vetted Tailwind CSS Professionals

Pre-screened and vetted.

SV

Mid-level Full-Stack Developer specializing in FinTech and fraud detection

Remote, USA4y exp
DatabricksSaint Louis University
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DT

Mid-level Full-Stack Developer specializing in FinTech payments and secure APIs

San Francisco, CA4y exp
Scale AIBelgorod State University
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HB

Junior AI Product Engineer specializing in LLM workflows and analytics automation

Pittsburgh, PA3y exp
Peak3Carnegie Mellon University
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MT

Mid-level Full-Stack Developer specializing in React, Node.js, and cloud-native AWS systems

6y exp
UnitedHealth GroupUniversity of Central Florida
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JR

Mid-level Full-Stack Engineer specializing in React and Java microservices

New York, United States5y exp
UberFullstack Academy
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AS

Junior Full-Stack Software Engineer specializing in SaaS and AI-powered web apps

Cambridge, MA2y exp
HubSpotUSC
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SL

Senior Full-Stack Engineer specializing in cloud microservices on AWS

6y exp
AmazonUniversity of Missouri-Kansas City
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CM

Senior Software Engineer/Tech Lead specializing in healthcare platforms and microservices

Orlando, FL9y exp
Orlando HealthFlorida International University
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MT

Mid-level Full-Stack Software Engineer specializing in SaaS, FinTech, and Healthcare IT

Toronto, Canada4y exp
PolicyMeUniversity of Waterloo
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VN

Mid-level Software Engineer specializing in FinTech platforms

USA4y exp
CitigroupUniversity at Buffalo
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HS

Senior Full-Stack Engineer specializing in Java microservices and FinTech

San Francisco, CA5y exp
AtlassianUniversity of the Cumberlands
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SB

Senior Software Engineer specializing in full-stack web development

San Francisco, CA9y exp
Assort HealthGeorgia Tech
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Khaliun Gerel - Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms in New York, NY

Khaliun Gerel

Screened ReferencesStrong rec.

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

New York, NY7y exp
GertechColumbia University

Full-stack product engineer who has owned end-to-end delivery of multi-client platforms: Finy (agriculture platform with 3 role-based web dashboards plus 2 field mobile apps) and Ugoku (Japanese studio platform with React/TypeScript dashboards, Node/Mongo backend, and mobile AR video playback). Strong in scalable architecture and performance—offline-first mobile for low connectivity, and AWS-based asynchronous video/AR processing with S3/CloudFront—plus building internal ops tools adopted quickly due to measurable workflow improvements.

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HM

Junior AI/ML & Cloud Software Engineer specializing in LLM applications

2y exp
Randomwalk.AIUniversity of Illinois Urbana-Champaign

AI engineer (2+ years; pursuing an online MS at UIUC) who has shipped an AI-powered voice screening platform end-to-end on GCP with strong production monitoring and measurable hiring-process impact (80% reduction in unqualified pass-through; ~50+ hours saved per role). Also built and deployed an AWS-based context-aware hybrid search system using OpenSearch as a vector store, and has hands-on experience with multi-agent LLM orchestration (ReAct) and structured-output guardrails.

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Ajith P - Mid-level Backend Software Engineer specializing in AI workflow automation for finance and healthcare

Ajith P

Screened

Mid-level Backend Software Engineer specializing in AI workflow automation for finance and healthcare

4y exp
Goldman SachsUniversity of Central Missouri

Backend/AI engineer with healthcare domain experience who built a patient journey analytics API (FastAPI/PostgreSQL/Snowflake/Redis) and debugged peak-hour latency down from ~900ms to ~50ms via indexing and query optimization. Shipped an LLM-powered clinical summary/recommendation assistant end-to-end and designed a multi-step risk evaluation agent workflow with safety guardrails against hallucinations and unsafe outputs.

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Daniel Jeong - Junior Full-Stack Engineer specializing in real-time platforms and AI tools in Cambridge, MA

Daniel Jeong

Screened

Junior Full-Stack Engineer specializing in real-time platforms and AI tools

Cambridge, MA3y exp
DraperColgate University

Early-career full-stack engineer with unusual depth in mission-critical environments: helped build a cybersecurity operations platform from scratch as the third engineer and shipped it to the National Election Commission of South Korea. Also worked on defense-focused situational awareness software, combining React/WebGL frontend performance work with backend data transformation for real-time weather and map overlays.

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SK

Mid-level Product Lead and Customer Success Manager specializing in SaaS analytics and GTM

Mountain View, CA2y exp
StealthSanta Clara University

Enterprise CSM with experience at IBM and Cloudera, focused on AI and cloud modernization engagements. Drives adoption, renewals, and expansion by building success plans with measurable ROI/usage outcomes, mediating complex stakeholder priorities, and unblocking deployments through tight Product/Engineering/Sales coordination. Also brings strong GTM analytics capability (Salesforce/HubSpot/GA/Tableau/SQL) to improve funnel performance and pipeline conversion.

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MN

mahesh narne

Screened

Senior Full-Stack Software Engineer specializing in cloud-native microservices and web apps

San Jose, CA3y exp
PayPalUniversity of Central Missouri

Backend-focused engineer building customer support/order-tracking platforms with Java 17/Spring Boot microservices and a React/TypeScript frontend. Deep experience running event-driven systems on Kubernetes (Kafka, Redis, MySQL) with strong observability (Prometheus/Grafana/Splunk), SLOs, and safe deployment practices (feature flags, canaries). Also built an internal monitoring/debugging dashboard that consolidated metrics and logs for on-call engineers and was adopted by other teams to speed incident response.

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BK

Bryant Kou

Screened

Senior Full-Stack Engineer specializing in AI platforms and scalable web systems

Cupertino, CA13y exp
NexysGeorgia Tech

Full-stack/product-minded engineer with recent experience in both an early-stage AI startup and a B2B payments marketplace. Stands out for building a pgvector-based semantic cache that reduced LLM latency by 35% and for shipping audit-heavy payment infrastructure with Stripe/Plaid, idempotent webhook handling, and major reconciliation query optimizations.

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