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Vetted Next.js Professionals
Pre-screened and vetted.
Mid-level Full-Stack Java Developer specializing in cloud and healthcare systems
Senior Full-Stack Engineer specializing in cloud platforms and applied AI
Senior Software Engineer specializing in frontend platforms for FinTech and e-commerce
Senior Full-Stack Engineer specializing in cloud-native enterprise and AI platforms
Senior Full-Stack Engineer specializing in AI-powered web applications
Junior Frontend Software Engineer specializing in FinTech and crypto products
Staff Platform/ML Engineer specializing in agentic AI, RAG, and cloud infrastructure
Senior Software Engineer specializing in cloud microservices and data pipelines
Senior Full-Stack Software Engineer specializing in cloud platforms and AI integration
Intern Backend/Full-Stack Software Engineer specializing in cloud-native web systems
Executive Engineering Leader specializing in E-commerce, SaaS, and EdTech platforms
Senior Software Engineer specializing in cloud-native systems and Generative AI
Director-level AI and Software Engineering leader specializing in enterprise platforms
Executive Engineering Leader (CTO/VP) specializing in platform scaling and video streaming
WonSeok Kang
Junior Full-Stack Engineer specializing in AI-powered applications
“Full-stack builder with hands-on experience shipping both location-based consumer products and AI-driven data platforms. Has owned end-to-end systems across React/Next.js, FastAPI, PostgreSQL, Streamlit, and geospatial tooling, with a strong emphasis on modular architecture, LLM reliability, and turning messy real-world data into usable product experiences.”
Bhagya Sunkara
Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms
“Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.”
“Software engineer with experience at Amazon and Agora building end-to-end systems: a knowledge-base AI chatbot (React/TypeScript UI + retrieval/response backend + Docker deployment) and an internal approval governance platform using AWS Step Functions and DynamoDB. Emphasizes fast iteration without sacrificing trust via feature-flag rollouts, citation-required answers, abstention on low-confidence retrieval, regression query sets, and strong observability (request IDs, structured logs, latency/error monitoring).”
Ryan Crabbe
Junior Full-Stack/Mobile Engineer specializing in React Native and NestJS
“Built an AI-powered restaurant menu rewriting app that generates diet-constrained menus from photos, with a backend designed around bounded contexts and a lightweight CQRS approach. Demonstrates strong multi-tenant PostgreSQL design (RLS, tenant-scoped queries) and performance tuning (partitioning, keyset pagination, composite/partial indexes), plus AI workflow orchestration using Redis/BullMQ and Vercel AI SDK with structured outputs and evals; reduced p95 latency ~35–50% via racing LLM requests and caching.”
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.”