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Vetted API Testing Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in AI agents, RAG, and test automation
Senior Software QA Engineer specializing in test automation and API testing
Senior Software Development Engineer in Test specializing in regulated systems and integration testing
Mid-level Full-Stack Developer specializing in FinTech and enterprise cloud platforms
Mid-level Full-Stack Engineer specializing in cloud-native microservices
Mid-level Full-Stack Developer specializing in cloud-native web apps and FinTech integrations
Intern Software Engineer specializing in LLMs, RAG, and full-stack testing automation
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native systems
Senior Software Engineer specializing in event-driven microservices and GenAI for payments
Senior QA Automation Engineer specializing in API/UI automation and CI/CD
Director of Quality Engineering specializing in marketing technology automation and CI/CD
Senior SQA Engineer specializing in test automation, CI/CD quality gates, and observability
Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms
Senior QA/Test Lead specializing in enterprise commerce platforms and order-to-cash automation
Sai Haritha Sardena
Mid-level Full-Stack Software Engineer specializing in web, cloud, and AI/ML
“Software engineer with experience at Wipro and Tylmen Tech owning customer-facing onboarding and real-time features end-to-end (React + Spring Boot) and building TypeScript/React apps backed by Node.js microservices (MongoDB, RabbitMQ). Strong in production reliability and fast iteration: feature-flagged rollouts, idempotent APIs/consumers, DLQs, and SLO-driven incident tooling, including an internal QA & release dashboard adopted by engineering and support teams.”
Reza Mawardana
Mid-level Software QA Engineer specializing in Insurance and HRIS, transitioning to SDET
“QA-minded candidate with unusually deep, self-driven experimentation in game mechanics (RNG and EXP optimization) using emulators and save-state methodology, translating that same rigor into production release verification and bug triage practices. Has experience in embedded QA and proactively proposed a centralized QA model with sharing sessions to improve coverage during absences; uses AI tools to speed up Jira documentation and test case creation.”
shiva kumar kotha
Mid-level AI/ML Engineer specializing in Generative AI and healthcare data
“Built and deployed a production RAG-based document Q&A system on Azure OpenAI to help business teams search thousands of PDFs/Word files, using Qdrant vector search, MongoDB, and a Flask API. Demonstrates strong production engineering (streaming large-file ingestion, parallel preprocessing, monitoring/retries) plus systematic prompt/embedding/chunking experimentation to improve accuracy and reduce hallucinations, and has hands-on orchestration experience with ADF/Airflow/Databricks/Synapse.”
Nasim Nasrin
Senior QA Engineer specializing in test automation and API testing
“QA automation engineer who built and maintained a Selenium WebDriver + Java hybrid framework (data/keyword-driven) using POM, TestNG, and Maven, and integrated it into CI with PR gating and nightly regression. Strong focus on stabilizing flaky tests (wait strategies, locator robustness, test data control) and caught a critical UI/backend mismatch that could have caused duplicate money transfers before release.”
Runjeeth Nikam
Mid-Level Software Engineer specializing in Python backend, data engineering, and cloud microservices
“Backend-leaning full-stack engineer with production experience in both healthcare (claims enrichment/interoperability at Abacus) and finance (Goldman Sachs pricing/risk APIs + React dashboards). Built an event-driven AI grading platform using Postgres Debezium CDC + Kafka + FastAPI on AWS that cut manual grading ~70% and served 1000+ students, with strong emphasis on reliability, testing, and performance tuning.”