.png){kind=logo}
Vetted System Design Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in backend APIs and AWS cloud infrastructure
Intern AI Product Manager specializing in enterprise AI security and agent platforms
Junior Software Engineer specializing in backend systems and distributed infrastructure
Staff-level Full-Stack/Platform Engineer specializing in cloud, serverless, and AI search
Mid-Level Backend/Full-Stack Software Developer specializing in Java, AWS, and cloud-native APIs
Senior Software Engineer specializing in scalable cloud microservices and AI integration
Mid-level Machine Learning Engineer specializing in reinforcement learning and multimodal AI
Senior AI and Full-Stack Engineer specializing in Healthcare IT and FinTech
Senior Software Engineer specializing in backend systems and distributed platforms
Executive sales leader specializing in public sector and education technology
Mid-level Full-Stack Java Developer specializing in cloud and healthcare systems
Senior Full-Stack Engineer specializing in AI-powered web applications
Executive AI/ML engineering leader specializing in voice AI and logistics automation
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Mid-level Full-Stack Engineer specializing in scalable web platforms and AI/ML tooling
Aaditya Voruganti
Junior AI & Software Engineer specializing in robotics and ML infrastructure
“Robotics engineer from UIUC’s Intelligent Motion Lab who led the perception stack for a humanoid robotic nurse, fusing camera/LiDAR/IMU on NVIDIA Jetson Orin for real-time localization and scene understanding across six robots. Deep expertise in ROS 2 and edge ML optimization (TensorRT, CUDA, zero-copy), delivering major latency/throughput gains (10 FPS to 22+ FPS) and building fault-tolerant pipelines with gRPC offloading and real-time reliability practices.”
Ethan Pribble
Senior Software Engineer specializing in cloud cost intelligence and FinOps platforms
“Backend/data engineer with strong authorization and compliance-domain experience: led a phased migration from a simplistic role model to modern RBAC on a Python serverless stack (Auth0 + AWS Lambda/API Gateway), coordinating changes across 5 repos with extensive manual and automated validation. Previously built and operated custom ETL pipelines (Airflow + Groovy/Java on Spark/YARN/Hadoop) to normalize messy customer email/chat/voice data for NLP-driven financial compliance indicators, including complex email journaling metadata enrichment and large-scale remediation reprocessing after production bugs.”