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Vetted Agile Professionals
Pre-screened and vetted.
Junior AI/ML Engineer specializing in agentic AI and cloud optimization
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Mid-level Full-Stack Developer specializing in AWS modernization and Java/Angular
Senior Software Engineer specializing in DevSecOps and Azure cloud infrastructure
Senior Software Engineer specializing in distributed systems and cloud-native microservices
Mid-level Business Analyst specializing in data analytics and enterprise reporting
Senior Software Engineer specializing in data engineering, BI analytics, and AI/ML
Mid-level Software Engineer specializing in backend systems and FinTech
Mid-level Software Engineer specializing in backend systems, microservices, and AI search
Executive product leader specializing in retail, e-commerce, and SaaS innovation
Senior Salesforce SME specializing in Service/Sales Cloud, Experience Cloud, and DevOps
Executive Engineering Leader specializing in cloud platforms, infrastructure, and SRE
Pavan Devulapalle
Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development
“Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).”
Adam Tichelaar
Executive Technology Leader (CTO) specializing in digital products, cloud platforms, and AI/ML
“IoT/connected-device and SaaS product builder with deep connected health/telehealth experience, including patient care delivery and remote patient monitoring. In their current org, they expanded a nutrition product business by prototyping and piloting a digital pre/post-surgical coaching care-delivery service with real providers/clinics/patients, then building an MVP and taking it to market.”
Sharath Nyalakonda
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”