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Vetted Stored Procedures Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in cloud microservices for healthcare and payments
Mid-level Full-Stack & AI Engineer specializing in Python, cloud, and LLM applications
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms
Staff Software Engineer specializing in payments platforms and event-driven microservices
Staff Software Engineer specializing in payments platforms and event-driven microservices
Mid-level Full-Stack Java Developer specializing in enterprise web applications
Mid-level Full-Stack Developer specializing in FinTech payments and microservices
Mid-Level Software Developer specializing in FinTech and AI-enabled systems
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices
Mid-level Full-Stack Developer specializing in .NET, Python/Django, and cloud-native web apps
Mid-level Full-Stack Engineer specializing in cloud-native microservices and data integrations
Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines
Senior Software Engineer/Tech Lead specializing in healthcare platforms and microservices
Sangeeth Kumar Mohan
Senior Lead Software Engineer specializing in authentication platforms and distributed systems
“Full-stack engineer (T-Mobile experience) focused on authentication/session-management systems, with hands-on work optimizing token-validation flows and reducing latency by eliminating redundant API calls and adding caching. Brings strong production ownership with observability (Splunk/Grafana), Postgres data modeling/index tuning, and resilient async workflow design (idempotency, retries/backoff, queues).”
Ajith P
Mid-level Backend Software Engineer specializing in AI workflow automation for finance and healthcare
“Backend/AI engineer with healthcare domain experience who built a patient journey analytics API (FastAPI/PostgreSQL/Snowflake/Redis) and debugged peak-hour latency down from ~900ms to ~50ms via indexing and query optimization. Shipped an LLM-powered clinical summary/recommendation assistant end-to-end and designed a multi-step risk evaluation agent workflow with safety guardrails against hallucinations and unsafe outputs.”
Aigo Madakimova
Senior Data Analyst specializing in audit analytics, automation, and financial data platforms
“Full-stack engineer with strong Next.js App Router + TypeScript experience who built and owned a production internal analytics dashboard end-to-end, including server-component data fetching, route handlers for secure proxying, and post-launch monitoring/caching fixes. Also designed Postgres data models and performance-tuned analytics queries, and built reliable BullMQ/Redis-based order-fulfillment workflows with idempotency, retries, and compensating refunds—comfortable operating with high ownership in early-stage teams.”