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Vetted AWS Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in Unity mobile game development
Mid-level Data Scientist specializing in FinTech and product analytics
Mid-level Software Engineer specializing in distributed systems and full-stack development
Mid AI/ML Engineer specializing in LLM alignment and scalable AI systems
Mid-level Full-Stack Software Engineer specializing in cloud-native and data platforms
Senior Software Engineer specializing in Python backend and distributed systems
Director-level AI and Software Engineering leader specializing in enterprise platforms
Mid-level Full-Stack Software Engineer specializing in AI-powered applications
Mid-level Full-Stack Engineer specializing in scalable web platforms and AI/ML tooling
Mid-level Software Developer specializing in full-stack platforms for mobility, travel, and logistics
Senior Front-End/Full-Stack Engineer specializing in cloud-native SaaS and enterprise web apps
Staff AI Systems Engineer specializing in multi-agent and distributed platforms
Executive Engineering Leader (CTO/VP) specializing in platform scaling and video streaming
Senior AI & Systems Architect specializing in ML infrastructure and FinTech
Patrick Arnoux
Principal Software Architect specializing in low-latency trading systems and market data
“Solaris-focused engineer who has led production performance investigations using DTrace and implemented code changes that substantially improved runtime by removing redundant parsing. Participated in a data-center-exit lift-and-shift to cloud using Oracle GoldenGate for replication and LVM to duplicate the application platform, with some exposure to AIX/IBM Power (LPAR recovery with NIM, assisted PowerHA validation).”
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.”