.png){kind=logo}
Vetted WebSockets Professionals
Pre-screened and vetted.
Intern Software Engineer specializing in distributed systems and cloud infrastructure
Senior Software Engineer specializing in AI platforms for healthcare and industrial time-series ML
Senior Software Engineer specializing in cloud-native microservices and AI-enabled products
Senior Software Engineer specializing in cloud payments, cryptography, and low-latency systems
Senior Software Engineer specializing in cloud-native SaaS and real-time collaboration
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI/LLM integration
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
Junior Software Engineer specializing in backend systems and distributed infrastructure
Senior Software Engineer specializing in scalable APIs, real-time messaging, and data platforms
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integration
Senior Staff Full-Stack Engineer specializing in AI copilots and cloud platforms
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.”
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.”
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.”