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Vetted Selenium Professionals
Pre-screened and vetted.
Senior .NET Full-Stack Engineer specializing in Healthcare and Financial Services
Senior Machine Learning Engineer specializing in LLMs and Generative AI
Senior Software Developer specializing in cloud-native microservices and data platforms
Mid-Level Software Engineer specializing in FinTech trading and portfolio platforms
Mid-Level Software Engineer specializing in scalable systems and applied machine learning
Senior QA Engineer specializing in test automation, API testing, and cloud analytics platforms
Mid-Level Software Engineer specializing in full-stack systems and cloud platforms
Mid-level Full-Stack Developer specializing in FinTech and fraud detection
Intern Software Engineer specializing in cloud governance and distributed systems
Mid-Level Software Engineer specializing in cloud-native distributed systems
Mid-level Full-Stack Engineer specializing in React and Java microservices
Mid-level Full-Stack Engineer specializing in cloud-native microservices and data integrations
Mid-level Backend Software Engineer specializing in FinTech and cloud microservices
Mid-level Software Developer specializing in backend cloud and API platforms
Senior QA Engineer specializing in test automation, API and performance testing
Jugal Rayala
Mid-level Full-Stack Developer specializing in AI-powered cloud applications
“Full-stack engineer who has owned customer-facing AI recommendation and analytics dashboards end-to-end (backend APIs/data processing through React UI, deployment, and monitoring). Demonstrates strong systems thinking around scaling microservices—using observability, caching, async workflows, and resilience patterns—and also built an internal ops dashboard that became the default tool for on-call incident reviews.”
Praneeth Regonda
Mid-level Full-Stack Engineer specializing in FinTech and AI platforms
“Full-stack engineer with 3 years of AI/ML experience who has shipped production LLM workflows, including a Bloomberg triage dashboard that cut manual processing by 35%. Combines React/TypeScript product sense with AWS/Spring/Lambda backend architecture and unusually strong practical judgment around evals, trust, retrieval, latency, and UX for real-world AI systems.”
Max Matkovski
Junior Machine Learning Engineer specializing in data pipelines and applied AI
“Built a production AI agent for phishing fraud detection using n8n orchestration, Claude (Sonnet 4/MCP), VirusTotal, and JavaScript formatting to generate and deliver email-based reports via Gmail. Has experience evaluating detection accuracy against known examples, iterating via feedback, and presenting AI solutions to non-technical teams.”
Aarati Dulal
Senior Full-Stack Java Engineer specializing in cloud-native microservices
“Backend/platform engineer who owned high-volume Java/Spring Boot microservices on AWS (Kafka + RDS/DynamoDB) and has hands-on experience debugging complex production latency incidents across DB, JVM/GC, and async consumers. Also shipped applied AI features for ops, including an LLM-powered log analysis assistant and an incident-response agent with strong safety guardrails (schema-validated tool use, retries/backoff, and human-in-the-loop escalation).”