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Vetted Database Indexing Professionals
Pre-screened and vetted.
Intern software engineer specializing in full-stack development and test automation
Mid-level Full-Stack Engineer specializing in FinTech and Healthcare IT
Mid-level Full-Stack Engineer specializing in cloud and distributed systems
Entry-Level Software Engineer specializing in full-stack web development and machine learning
Senior Python Backend Engineer specializing in microservices, cloud, and healthcare/telecom platforms
Mid-level Full-Stack Developer specializing in cloud-native microservices
Mid-level Software Engineer specializing in distributed systems and cloud data pipelines
Mid-Level Full-Stack Developer specializing in cloud-native microservices and GenAI
Mid-Level Software Engineer specializing in cloud-native microservices and GenAI automation
Mid-level Software Engineer specializing in cloud-native microservices and FinTech
Mid-level Python Developer specializing in APIs, microservices, and data-driven e-commerce systems
Mid-level Java Full-Stack Developer specializing in microservices and cloud-native systems
Mid-Level Backend Java Engineer specializing in microservices and cloud-native systems
Mid-level Software Engineer specializing in distributed systems and FinTech
Senior Java Full-Stack Developer specializing in insurance and healthcare platforms
Senior DevOps/SRE Engineer specializing in multi-cloud infrastructure and Kubernetes
Harshini Kanamathareddy
Mid Software Engineer specializing in iOS, backend systems, and AI-powered applications
“Full-stack/backend engineer with experience spanning React/TypeScript, Flask, Spring Boot, SQL databases, and production mobile optimization. They’ve shipped features end to end, improved query performance and app startup/crash metrics, and helped drive a configuration-driven architecture that enabled faster releases across 30 consumer applications.”
Bhavya Surana
Junior Software Engineer specializing in distributed systems and AI automation
“Backend engineer/technical lead with experience building and operating real-time blockchain analytics systems at Merkle Science. Owned high-traffic Django/DRF services and Kafka streaming pipelines processing millions of events daily, with deep focus on performance (N+1 fixes, indexing, caching) and reliability (DLQs, retries, monitoring). Also led containerization and Kubernetes/GitOps-style CI/CD on Google Cloud, including a migration off Google App Engine to reduce cost and improve scalability.”
Akshay Khan
Mid-level Backend Software Developer specializing in cloud-native microservices
“Backend engineer with American Express experience maintaining an internal Python/Flask rewards simulation microservice used by product analysts and QA. Demonstrated strong performance and scalability work: moved batch simulations to Celery, added Redis caching to cut DynamoDB latency, and tuned Postgres/SQLAlchemy queries with EXPLAIN ANALYZE and composite indexes (bringing API responses under ~200ms by queueing jobs). Also has experience integrating ML via Flask-based model-serving APIs (scikit-learn/LightGBM packaged with joblib) and designing multi-tenant data isolation and tenant-specific configuration systems.”