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Vetted Celery Professionals
Pre-screened and vetted.
Junior Full-Stack Software Engineer specializing in automation platforms and cloud-native web apps
Junior Software Engineer specializing in full-stack SaaS and AI/ML systems
Mid-level Full-Stack Developer specializing in SaaS, FinTech, and LLM-powered search
Senior Full-Stack Software Engineer specializing in Python backends and React frontends
Senior Python Engineer specializing in Healthcare IT and FinTech platforms
Mid-Level Software Engineer specializing in payments, risk analytics, and cloud-native microservices
Senior Backend/Platform Engineer specializing in regulated FinTech and DefenseTech systems
Senior Software Engineer specializing in distributed backend systems
Staff/Lead Full-Stack Software Engineer specializing in Java microservices and React on Azure
Intern Software Engineer specializing in backend systems, cloud infrastructure, and LLM applications
Mid-level Full-Stack Python Developer specializing in FinTech and real-time payments
Senior AI/ML Engineer specializing in computer vision, GenAI, and 3D spatial analytics
Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)
Pranit Chetta
Senior Full-Stack Java Engineer specializing in cloud-native AI and enterprise platforms
“Full-stack product engineer who owned a live-events digital ticketing platform end-to-end, including blockchain-based ticket validation and high-traffic booking flows. Stands out for combining Angular/React frontend work with Java/Spring Boot backend architecture, plus strong production reliability practices around concurrency control, queues, observability, and UX optimization.”
Vaishnavi Kashyap
Junior Full-Stack Software Engineer specializing in web platforms and sustainability analytics
“Full-stack/backend engineer who owned a production digital assembly planning platform at Saint Gobain end-to-end (React/Node/Postgres), maintaining 99.9% uptime across 5 factory sites and driving a reported 90% improvement in factory-floor coordination. Also built and operated BigQuery + Vertex AI (ARIMA) forecasting/data pipelines processing 1M+ datapoints daily, with strong emphasis on idempotency and data-quality validation to prevent incorrect outputs.”