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Vetted Scrum Professionals
Pre-screened and vetted.
Mid-level Backend Engineer specializing in microservices and event-driven systems
Mid-level Full-Stack Developer specializing in cloud-native apps, AI/ML, and microservices
Director of Product specializing in AI-powered data platforms for connected vehicles and MLOps
Intern Full-Stack Software Engineer specializing in scalable web platforms
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Senior Full-Stack Engineer specializing in backend systems and cloud-native microservices
Mid-level Full-Stack Engineer specializing in Python microservices and cloud automation
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Mid-Level Frontend Software Engineer specializing in React and React Native
Principal Systems & Software Engineer specializing in IVD/medical device compliance and genomics
Junior UX/UI Engineer specializing in mobile prototyping and agentic commerce
Mid-level Full-Stack Developer specializing in React, Node.js, and Spring Boot
Mid-Level Full-Stack Python Engineer specializing in AI-powered web apps and cloud-native systems
Junior AI/ML Engineer specializing in agentic AI and cloud optimization
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
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).”
Nehal Mahankali
Mid-level Full-Stack Python Developer specializing in cloud-native banking applications
“Backend engineer who built a low-latency real-time transaction API in Python/Flask, with strong depth in PostgreSQL/SQLAlchemy performance tuning (time-based partitioning, indexing, connection pooling). Has production experience integrating ML scoring and OpenAI-style APIs with safety/latency controls, and designing multi-tenant isolation strategies including per-tenant pooling/caching and premium-tenant isolation.”