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Vetted Waterfall Professionals
Pre-screened and vetted.
Mid AI/ML Engineer specializing in MLOps, deep learning, and cloud ML systems
Mid-level Full-Stack Developer specializing in cloud-native enterprise applications
Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT
Senior Project Management Professional specializing in healthcare and enterprise solutions
Senior Workday Techno-Functional Consultant specializing in HCM, Financials, and Integrations
Senior Project Manager specializing in enterprise systems and infrastructure transformation
Senior Project Manager specializing in IT, compliance, and federal operations
Senior Project Manager specializing in operations, compliance, and contact center transformation
Senior Project Manager and Scrum Master specializing in IT programs and Agile delivery
Senior Java Full-Stack Developer specializing in insurance and healthcare platforms
Mid-level Full-Stack Java Developer specializing in enterprise and FinTech systems
Director-level Technology & Management Consultant specializing in software delivery, cloud, and healthcare IT
Senior Salesforce Developer specializing in CRM, Service Cloud, CPQ, and AI automation
Senior Full-Stack Developer specializing in cloud-native FinTech microservices and React
Senior Software Test Engineer specializing in automation, API, performance, and accessibility testing
Senior Full-Stack Java Developer specializing in Spring Boot microservices and cloud platforms
Senior Full-Stack Java Engineer specializing in microservices, cloud, and enterprise platforms
Senior Full-Stack Developer specializing in cloud microservices and enterprise applications
Michael Feola
Senior Full-Stack Engineer specializing in enterprise CMS and accessible web platforms
“Front-end engineer with strong browser UI and accessibility instincts, including ownership of a complex responsive color/style picker for a major paint brand and foundational theming work for a SaaS CMS. Particularly notable for combining progressive enhancement, cross-browser rigor, and accessibility leadership to make polished interfaces work reliably across devices and user needs.”
Likith Kumar Tarala
Mid-level Machine Learning Engineer specializing in deep learning and generative AI
“AI/ML engineer who has deployed transformer-based NLP systems to production via Python REST APIs and Kubernetes on AWS/Azure, with a strong focus on latency optimization (p95), reliability, and scalable orchestration. Demonstrates pragmatic model tradeoff decision-making and strong stakeholder collaboration—improving adoption by making outputs more actionable with summaries, extracted fields, and confidence indicators.”
Ronak Seth
Mid-level DevOps & Systems Engineer specializing in AWS, Kubernetes, and CI/CD automation
“Cloud/DevOps engineer (6+ years) with healthcare domain experience who has owned production AWS systems end-to-end—building real-time data pipelines and an admission forecasting ML service delivered via API and Tableau. Led EMR modernization from on-prem/VMs to containerized AWS using phased migration and blue-green deployments, achieving ~99.5% uptime while cutting on-prem footprint ~30% and driving major automation gains (up to ~90% manual work reduction).”
Chaitanya Gouru
Mid-level QA Automation Engineer specializing in Selenium, API testing, and Salesforce CRM
“QA professional focused on CRM workflow and case management releases, owning end-to-end validation from staging through release readiness. Demonstrated ability to catch critical UI-to-backend mapping defects early using API/DB validation and audit logs, then prevent recurrence by adding automated edge-case tests into CI.”
Varshitha K
Mid-level Data Engineer specializing in cloud data platforms and lakehouse architectures
“Data engineer in a banking context who has owned end-to-end Azure lakehouse pipelines ingesting financial/vendor data from APIs, Azure SQL, and flat files into Databricks/Delta (bronze-silver-gold). Emphasizes production reliability via schema-drift validation, data quality controls, monitoring/alerting, retries/checkpointing, and Spark/Delta performance tuning, with outputs served to BI/reporting teams (e.g., Tableau).”