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Vetted API Gateway Professionals
Pre-screened and vetted.
Senior Backend/Cloud Engineer specializing in Java, Spring Boot, and AWS
Mid-level GenAI/MLOps Engineer specializing in banking and healthcare LLM applications
Mid-level Full-Stack Software Engineer specializing in cloud microservices and FinTech
Mid-Level Software Engineer specializing in cloud-native microservices for logistics and compliance
Mid-level Full-Stack Software Engineer specializing in cloud-native healthcare and FinTech systems
Mid-Level Full-Stack Developer specializing in Java/Spring microservices and modern web UI
Senior .NET Developer specializing in cloud-native microservices and modern web apps
Principal Software Architect specializing in Healthcare IT and cloud-native systems
Director-level Engineering Manager / Java Architect specializing in cloud-native payments microservices
Mid-level Backend Engineer specializing in cloud-native microservices and FinTech systems
Senior .NET Full-Stack Developer specializing in cloud-native microservices
Executive Engineering Leader (CTO/SVP) specializing in high-load platforms and GenAI/LLM systems
SAI PRASHANTH
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
“Software engineer/product-minded builder who owns customer-facing products end-to-end and ships in 1–2 week increments using CI/CD, automated testing, and feature flags. Built a TypeScript/React/Node platform that cut page load times by 40% and scaled to 3x concurrent users, and designed RabbitMQ-based microservices with Prometheus/Grafana monitoring. Also delivered an internal real-time support analytics dashboard that reduced response times by 30%.”
Malli Karjuna
Mid-Level .NET Full-Stack Developer specializing in cloud-native web applications
“JavaScript engineer with open-source library contribution experience, including diagnosing a validation-related bug, shipping a tested fix, and improving documentation with practical examples and edge-case guidance to reduce repeated community questions. Emphasizes profiling-driven performance work, small safe refactors, and proactive ownership in fast-moving, unstructured teams.”
Mid-level Backend Software Engineer specializing in Java microservices and cloud platforms
Senior Full-Stack Engineer specializing in PHP/Laravel, APIs, and e-commerce platforms
Himanshu Kiran Garud
Mid-Level Software Engineer specializing in full-stack web and data engineering
“Backend/ML engineer who has built both enterprise data pipelines and real-time AI products: modular Python (Flask/FastAPI) services integrating automation scripts and low-latency ML inference (MediaPipe, PyTorch) plus OpenAI-powered feedback. Demonstrated measurable performance wins (~30% faster HR workflows; ~40% faster AWS pipelines across 100+ Oscar Health feeds) and strong multi-tenant/data-isolation patterns (schema-based isolation, RBAC, microservices).”
Tanisha Pradeep Bhola
Mid-level Software Development Engineer specializing in backend, cloud, and microservices
“Accenture engineer with hands-on experience taking an NLP sentiment analysis system from prototype to production, emphasizing robustness to noisy data, scalability, and observability (dashboards for latency/error/throughput). Also supports customer-facing teams with demos and PoCs, translating client requirements into secure, scalable architectures and troubleshooting LLM/agent workflows via logs and step-level traces.”
Nikhilsai Parimalla
Mid-level Full-Stack Java Developer specializing in Spring Boot microservices and React
“Backend-leaning full-stack engineer who builds and operates Spring Boot microservices with React/TypeScript frontends, using Kafka/RabbitMQ for event-driven workflows. Created an internal ops dashboard for Support/SRE with tracing, alert correlation, and self-serve actions, improving MTTR and reducing escalations while maintaining regulatory-grade reliability and security.”
Sai Anuhya Bandi
Mid-level Software/Data Engineer specializing in LLM apps, RAG pipelines, and cloud microservices
“Backend/data engineer who built an enterprise LLM assistant (AI Genie) at Broadband Insights using a LangChain + GPT-4 + Pinecone RAG pipeline to automate broadband analytics reporting. Developed Python/Dagster ETL processing 10M+ records/day and improved data freshness by 60%, with production-grade scalability patterns (async workers, containerized microservices, Kubernetes) and strong multi-tenant isolation practices.”