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Vetted OpenAPI Professionals
Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in FinTech and fraud detection
Mid-level Full-Stack Engineer specializing in React and Java microservices
Rahul Kushwaha
Mid-level Software Engineer specializing in FinTech and scalable microservices
“Backend/platform engineer focused on high-traffic financial systems, owning real-time event-driven ingestion and Kafka streaming pipelines using Python/FastAPI, Avro schemas, and AWS services. Has hands-on Kubernetes (EKS) and GitOps/CI-CD experience (ArgoCD/Jenkins) and supported large-scale migrations from legacy VMs to containerized microservices with zero/low-downtime cutovers.”
Senior Full-Stack Java Engineer specializing in cloud-native microservices and FinTech integrations
Mid-level Machine Learning Engineer specializing in MLOps and applied AI
Mid-Level Full-Stack Software Engineer specializing in cloud, security, and distributed systems
Mid-Level Full-Stack Software Engineer specializing in FinTech and EdTech
Junior Software Engineer specializing in backend microservices and network observability
Director of Engineering specializing in GenAI and scalable enterprise platforms
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Software Engineer specializing in video streaming and media platforms
Senior Software Engineer specializing in backend systems and AI-driven automation
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Senior SDET specializing in UI/API automation and cloud-native quality engineering
Mid-level Java Developer specializing in Spring Boot microservices (FinTech & Healthcare)
Sunil Chinthaparthi
Mid-level Python Developer specializing in AWS microservices and cloud automation
“Backend engineer focused on Python/FastAPI microservices running on Kubernetes (AWS EKS) with strong GitOps/CI/CD ownership (GitHub Actions + ArgoCD). Demonstrated measurable performance wins (p95 latency cut from >1s to <200ms) and production reliability work across Kafka/Redis streaming and cloud-to-on-prem migrations (RDS/S3 to Postgres/MinIO) using parallel validation and checksum-based consistency checks.”
Saffinah Shi
Junior Software Engineer specializing in full-stack, cloud serverless, and AI systems
“SDE who worked on an MGICS Lab robotics project building a multi-agent model to help agents understand tasks and generate robot instructions, emphasizing task-splitting, checking, and a reflection agent to improve accuracy. Also has experience using GitHub with automated CI/CD pipelines.”
Jahnavi Bellapukonda
Mid-Level Software Engineer specializing in full-stack web and cloud systems
“Full-stack engineer with strong data engineering and privacy-domain experience, having owned an automated Data Subject Rights (DSR) processing pipeline end-to-end across Azure SQL and GCP (GCS/BigQuery). Emphasizes production reliability via idempotency, validation checkpoints, structured logging/monitoring, and safe CI/CD-driven deployments, and has also built React+TypeScript + Node/Postgres web apps with scalable, maintainable architecture.”
Omkar Bhope
Staff Full-Stack Engineer specializing in AI platforms and infrastructure automation
“Backend/full-stack engineer building complex internal platforms and customer-facing demos at the intersection of infrastructure and product. Shipped a no-code Product Lifecycle Manager for manufacturing (3 manufacturers, 1000+ evolving tests) using AWS S3/SQS ingestion and extensible Postgres (EAV+JSONB) with end-to-end traceability. Also built a FastAPI-based company data intelligence platform with Okta-secured RBAC and an LLM/MCP layer for ChatGPT-like analytics over enterprise data sources.”
Navya Panyala
Senior Software Engineer specializing in identity, cloud-native microservices, and reactive web apps
“Product-focused full-stack engineer with Walmart and Dell experience who built and shipped a real-time engagement dashboard end-to-end (Kafka Streams, Spring Boot, React/TypeScript/D3) used daily by business teams, moving them from next-day reports to real-time decisioning. Strong in performance/reliability (Redis caching cut latency ~40%, 90%+ test coverage, Prometheus/CloudWatch monitoring) and production operations on AWS/EKS including handling a cascading failure from a memory leak with zero-downtime rollback and redeploy.”