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Vetted Tailwind CSS Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native SaaS and real-time collaboration
Senior Full-Stack Engineer specializing in Python, cloud platforms, and scalable web systems
Senior Full-Stack Engineer specializing in cloud-native microservices and AI/LLM integrations
Senior Full-Stack Engineer specializing in .NET, Cloud Architecture, and Angular
Mid-level Full-Stack Developer specializing in Java Spring Boot microservices
Staff Software Engineer specializing in headless commerce and developer platforms
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Mid-level Full-Stack Developer specializing in Java microservices, React, and cloud AI platforms
Senior Full-Stack Engineer specializing in microservices, data pipelines, and AI in FinTech
Senior Staff Full-Stack Engineer specializing in AI copilots and cloud platforms
Senior Full-Stack Python Developer specializing in cloud, data platforms, and GenAI
Junior Data Scientist & Data Engineer specializing in ML and scalable data pipelines
Paul Liu
Senior Software Engineer specializing in cloud-native backend and web/mobile apps
“Backend engineer with Tesla experience building Python-based, serverless microservices for a supply chain portal, including a MongoDB-backed tracking/logging system and a reconciler Lambda to manage retries and failures. Has hands-on Kubernetes (EKS) and GitOps (Argo CD) experience, plus real-time Kafka pipelines for fleet/IoT telemetry and proxy-based migrations from monolith systems to AWS databases.”
Sanskar Gupta
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices
“Backend engineer with hands-on experience building Python/Flask microservices using PostgreSQL/SQLAlchemy, JWT auth, Docker, and GitHub Actions CI/CD. Strong in performance and scalability work—migrated heavy processing to Celery/Redis, tuned queries with EXPLAIN ANALYZE and indexing, and delivered 50%+ API latency reduction. Also integrates AI workflows (OpenAI APIs) with batching/caching/fallbacks and has implemented multi-tenant data isolation patterns.”
Yeshwanth Sai Pala
Mid-level Full-Stack Developer specializing in cloud microservices and AI-driven FinTech
“Stripe engineer who shipped an end-to-end merchant fraud insights dashboard, spanning Spring Boot/Kafka risk-scoring services and a React+TypeScript UI. Focused on low-latency, high-volume transaction processing and production operations on AWS (EKS/CloudWatch), including handling a real traffic-spike latency incident via query optimization, indexing, and rate limiting.”