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Vetted Celery Professionals
Pre-screened and vetted.
Senior Data Scientist specializing in ML, NLP, and MLOps for financial services
Senior Full-Stack Software Engineer specializing in AI-powered enterprise search
Senior Full-Stack Software Engineer specializing in cloud-native web apps and AI/ML
Mid-level Software Engineer specializing in backend microservices and real-time data pipelines
Junior Full-Stack Software Engineer specializing in automation platforms and cloud-native web apps
Mid-level Full-Stack Developer specializing in SaaS, FinTech, and LLM-powered search
Senior Python Engineer specializing in Healthcare IT and FinTech platforms
Senior Full-Stack Software Engineer specializing in Python backends and React frontends
Senior Backend/Platform Engineer specializing in regulated FinTech and DefenseTech systems
Mid-Level Software Engineer specializing in payments, risk analytics, and cloud-native microservices
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
Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)
Sravanti Dandu
Mid-level Cloud Engineer specializing in AWS & Azure infrastructure automation
“Backend/platform engineer (American Express) who built a Flask-based orchestration layer to automate infrastructure provisioning and integrated Azure AD/JWT RBAC security. Strong in PostgreSQL/SQLAlchemy performance optimization (70%+ query-time reduction) and scalable async/event-driven architectures, including ML inference pipelines (SageMaker/Azure ML/Hugging Face) and high-throughput job queues (Celery/Redis) with reliability patterns like DLQs and idempotency.”
Shubham Singh
Senior Software Engineer specializing in cloud-native microservices and healthcare integrations
“Backend engineer at Cerebrone.ai building cloud-native Flask microservices for an AI-driven automation platform on GCP (Cloud Run/App Engine), including dedicated inference services integrating OpenAI and internal ML pipelines. Demonstrated strong performance and scalability wins across Postgres/SQLAlchemy optimization, multi-tenant (healthcare/HIPAA-grade) data isolation, and high-throughput background processing with Celery/Redis/RabbitMQ, with multiple quantified latency/CPU/throughput improvements.”
Alex Nguyen
Junior Applied AI Engineer specializing in LLMs, RAG, and agentic systems
“Co-founded a healthcare AI startup building and deploying software directly with end users, emphasizing rapid shipping, deep user interviews, and workflow-first adoption. Has hands-on production deployment experience on AWS (including diagnosing a silent AWS App Runner failure caused by an ARM vs amd64 Docker build mismatch) and is motivated by customer-facing, travel-heavy roles to keep engineering tightly connected to real-world usage.”