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Vetted Sprint Planning Professionals
Pre-screened and vetted.
Senior Robotics & AI Scientist specializing in robot learning, control, and multimodal AI
Senior Software Engineer specializing in cloud-native SaaS, IoT, and GenAI platforms
Mid-Level Software Engineer specializing in full-stack and AI-enabled backend systems
Mid-level Workday HCM Consultant specializing in HRIS reporting, integrations, and security
Mid-level Java Full-Stack Developer specializing in cloud-native web platforms
Mid-Level Software Developer specializing in test automation and AI tooling
Mid-level Software Engineer specializing in cloud-native microservices and FinTech
Mid-level Full-Stack Developer specializing in Angular and Spring Boot for Healthcare IT
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Senior Full-Stack Engineer specializing in cloud-native microservices and AI solutions
Senior Data Engineer specializing in AWS cloud data platforms and streaming analytics
Software Engineering Manager specializing in FDA-compliant medical device software
Senior Software Test Engineer specializing in automation, API, performance, and accessibility testing
Senior Game Producer & Game Designer specializing in cross-platform mobile and VR titles
Satwik Koppala
Mid-level Full-Stack Java Developer specializing in digital banking and cloud microservices
“Backend-leaning full-stack engineer in lending/financial services (Kotak Mahindra Bank Autos360; currently at Ally Financial) working on Spring Boot microservices with React dashboards. Has built reliability improvements for credit-bureau integrations (Experian) and created an internal monitoring/reporting platform that aggregates metrics/logs/ETL across services, cutting troubleshooting by ~40%.”
mohannaik M
Mid-level Full-Stack Software Engineer specializing in Java microservices and cloud platforms
“Open-source JavaScript library contributor/maintainer focused on performance and usability—uses profiling and user feedback to optimize large-dataset processing and modernize abstractions. Refactored a nested-callback event handling system into an observer-pattern dispatcher with batched event queues, reducing CPU usage and improving maintainability; also handles community-reported crashes by reproducing issues, fixing memory leaks, and updating docs.”
Vardhan Are
Mid-level Data Analyst specializing in AWS-based ETL, churn analytics, and BI dashboards
“Data/ML practitioner with experience at Airtel and Lincoln Financial delivering measurable business outcomes: improved retention 15% via NLP sentiment analysis and cut response time ~25% using sentence-BERT + FAISS semantic linking. Strong in data quality/identity resolution (SQL + fuzzy matching) and in building production-grade Python workflows orchestrated with Airflow/AWS Glue, including validation and dashboard integration in Power BI.”