.png){kind=logo}
Vetted Batch Processing Professionals
Pre-screened and vetted.
Senior Full-Stack Developer specializing in Java microservices and cloud platforms
Mid-level Full-Stack Software Engineer specializing in agentic AI and document automation
Senior Full-Stack Python Engineer specializing in cloud-native data platforms
Senior Python Backend Engineer specializing in AWS, APIs, and data pipelines
Mid-level Data/Backend Engineer specializing in cloud data platforms and ML analytics
Mid-level Software Engineer in Test specializing in backend microservices and QA automation
Senior Data Engineer specializing in cloud data platforms and streaming analytics
Mid-level Data Engineer specializing in cloud ETL and healthcare data platforms
Mid-level Data Engineer specializing in cloud data pipelines and financial/billing analytics
Senior Software Engineer specializing in data pipelines and financial data platforms
Mid-Level Software Engineer specializing in distributed data platforms and AI/ML pipelines
Senior Java Full-Stack Engineer specializing in cloud-native microservices for finance and government
Senior Backend Developer specializing in AWS cloud-native microservices and data pipelines
Junior Full-Stack Software Engineer specializing in AWS serverless and Python
Mid-level Machine Learning Engineer specializing in MLOps and LLM/RAG systems
Senior Full-Stack Java Engineer specializing in microservices for healthcare and financial services
Mid-Level Data Engineer specializing in cloud data pipelines and lakehouse/warehouse platforms
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics for financial services
Mid Software Developer specializing in Java microservices and cloud-native systems
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Venkata Siva Sai Prathyush Kolli
Intern Robotics Software Engineer specializing in ROS2 multi-robot autonomy
“Robotics intern at the University of Delaware who built and debugged ROS2-based multi-robot coordination systems, focusing on real-time reliability (timestamp alignment, latency/jitter instrumentation, QoS/executor tuning). Also improved SLAM stability by fixing LiDAR/encoder synchronization and tuning state-estimation parameters, with a simulation-first workflow using Gazebo and Docker/CI for reproducible deployments.”