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Vetted Celery Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI/ML integrations
Mid-level Software Engineer specializing in cloud-native Python microservices (Insurance & Healthcare)
Senior Full-Stack Software Engineer specializing in Kubernetes and internal tooling
Mid-level AI Application Engineer specializing in GenAI (RAG) and full-stack systems
Mid-level Software Engineer specializing in cloud data platforms and microservices
Senior Full-Stack Software Engineer specializing in AI/ML and LLM automation
Staff Software Engineer specializing in Python APIs and AWS-native data platforms
Junior Front-End Engineer specializing in React/Next.js and content-driven web apps
Mid-level Backend Software Engineer specializing in cloud microservices and AI agent systems
Mid-Level Full-Stack Software Engineer specializing in cloud-native and data platforms
Junior Full-Stack Python Developer specializing in cloud-native web applications
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Senior Full-Stack Python Engineer specializing in secure cloud platforms and ML systems
Senior Full-Stack Engineer specializing in Python, cloud-native microservices, and React
Ashish Shah
Mid-level Data Engineer / Software Engineer specializing in streaming and cloud data platforms
“Backend engineer with deep Kafka/FastAPI microservices experience who redesigned a notification pipeline to cut end-to-end latency from ~5s to ~3s (including custom partition assignment and consumer tuning). Led a high-stakes ClickUp-to-Oracle migration of 1M+ records using idempotent ETL, reconciliation, and shadow deployment to achieve >99% integrity with zero downtime, and has hands-on production security implementation with Django/DRF (JWT + RBAC).”
Sufyan Zulfiqar
Mid-level AI Engineer specializing in Python, LLMs, and production ML systems
“Production-focused ML/AI engineer with hands-on ownership across classical ML and GenAI systems, from CV/NLP services to enterprise RAG. Stands out for combining research-to-production execution with measurable business impact: 40% processing-efficiency gains, 35% fewer support tickets, 5x latency improvement, and 3x throughput gains while maintaining safety and quality.”
Catarina Mendes
Mid-Level Full-Stack Software Developer specializing in web apps and payment systems
“Frontend engineer who led an end-to-end dashboard web app build, starting from UI sketches and user stories through design documentation and a proof-of-concept to align stakeholders. Uses a modern React/TypeScript stack (TanStack Query/Table/Form, shadcn/ui, Tailwind) with Zod validation, ESLint + CodeRabbit PR checks, and Vercel Analytics for performance monitoring.”
Viswanath Jagaluri
Mid-level Full-Stack & AI Engineer specializing in LLM applications
“Full-stack engineer who has shipped and operated generative-AI chat/QA features end-to-end, including a RAG-based pipeline with guardrails and cost/latency monitoring in production. Experienced with React/TypeScript + Node/Postgres architectures, Dockerized deployments to AWS (EC2) via GitHub Actions CI/CD, and building reliable ingestion/ETL systems with idempotency, backfills, and reconciliation.”
Baby Swathi Ramisetti
Mid-level Backend Software Engineer specializing in Python APIs and cloud-native systems
“Software/product engineer who owns customer-facing internal platforms end-to-end, with deep experience building data pipeline health and data quality tooling (near-real-time alerting and ops dashboards). Strong in React/TypeScript + Python REST architectures and microservices with RabbitMQ, emphasizing reliability patterns (idempotency, DLQs, correlation IDs) and fast, safe iteration via feature flags, testing, and observability.”