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Vetted Selenium Professionals
Pre-screened and vetted.
Priyanshu Maurya
Mid-level Data Scientist specializing in insurance, finance, and healthcare analytics
“Built and productionized LLM-driven sentiment scoring for earnings call transcripts at Goldman Sachs, replacing legacy NLP to deliver a cleaner trading signal while managing latency/cost via batching, caching, and distilled models. Also implemented an Airflow-orchestrated fraud modeling pipeline at MetLife with drift-based retraining and SageMaker deployment, and has a disciplined evaluation/rollout framework for reliable AI workflows.”
Nicolas Collins
Senior Full-Stack Engineer specializing in AI and cloud-native applications
“Built and shipped a production LLM-powered internal developer tool that accelerated code reviews by about 30% while maintaining reliability through modular orchestration, validation, and monitoring. Demonstrates strong practical depth in agent architecture, backend workflow orchestration, and observability for non-deterministic AI systems, with concrete examples of reducing agent errors by 60%.”
Ayush Patel
Junior Full-Stack Software Engineer specializing in payroll and event-driven systems
“Interned at Paycom and shipped a productionized ML/AI system that automatically regenerates XPath selectors to self-heal Selenium UI tests when the DOM changes. The pipeline handled 1,000+ failing tests/hour with ~90–95% auto-fix accuracy, using confidence thresholds, human-in-the-loop fallbacks, logging/dashboards, and retraining loops to manage distribution shift and maintain reliability.”
CHIRAG ARORA
Senior Backend Software Engineer specializing in microservices and cloud platforms
“Backend engineer with PayPal experience building a high-reliability onboarding API platform (Java/Spring Boot) integrating KYC/compliance and serving 1M+ users annually. Also shipped an internal LLM-driven developer tool that automates PR review insights and OpenAPI documentation with rigorous evaluation, schema-bound guardrails, and production observability.”
Mid-level Software Engineer specializing in cloud-native microservices and real-time data pipelines
Junior Full-Stack Software Developer specializing in cloud APIs and data platforms
Mid-Level Full-Stack Software Engineer specializing in microservices and fraud detection
Junior Software Engineer specializing in full-stack development and data engineering
Intern-level Software Engineer specializing in backend systems and applied AI
Entry-Level Software Engineer specializing in QA automation and full-stack web development
Mid-level Full-Stack Developer specializing in Python and React for e-commerce
Mid-level DevOps & MLOps Engineer specializing in cloud-native CI/CD and Kubernetes
Mid-Level Full-Stack Software Engineer specializing in microservices and cloud
Mid-Level Full-Stack Software Engineer specializing in FinTech and EdTech
Mid-level SDET specializing in test automation, API/microservices QA, and cloud-native CI/CD
Senior Software Engineer specializing in backend microservices and AI/ML integrations
Mid-level Full-Stack Developer specializing in FinTech and Healthcare platforms
Senior Full-Stack Software Engineer specializing in cloud-native microservices and FinTech systems
Mid-level Full-Stack Java Developer specializing in Financial Services
Mid-Level Machine Learning Engineer specializing in neuromorphic perception and distributed systems
Mid-level Full-Stack Developer specializing in Java microservices and React on AWS