Pre-screened and vetted.
Mid-level Software Engineer specializing in full-stack and cloud-native systems
Mid-level Backend Software Engineer specializing in AWS microservices and REST APIs
Software Engineer specializing in distributed systems, messaging platforms, and AI-enabled products
Senior Customer Success & Analytics professional specializing in BI and cross-functional strategy
Mid-level Cloud and DevOps Engineer specializing in AWS infrastructure and platform automation
Intern Software Engineer specializing in cloud-native distributed backend systems
Junior Full-Stack Software Engineer specializing in web, mobile, and AI applications
Junior Technical Product Manager specializing in SaaS, AI automation, and API integrations
Mid-Level Software Engineer specializing in FinTech trading and portfolio platforms
Intern AI/Software Engineer specializing in LLM agents and full-stack automation
Mid-Level Software Engineer specializing in AI platforms and backend systems
Mid-level Backend Software Engineer specializing in FinTech and cloud microservices
Junior Robotics Software Engineer specializing in embedded radar and ROS2 autonomy
“Robotics software engineer who has built full ROS 2 stacks for both a semi-automated robotic ultrasound system (UR5e + depth camera) and a quadrotor planning/MPC pipeline in Gazebo. Strong in integrating major ROS 2 frameworks (MoveIt/Nav2/RTAB-Map), writing custom packages (URDF, ACADOS-based MPC, laser landmark detection), and optimizing real-time behavior via GPU parallelization and distributed multi-threaded ROS 2 architectures; also contributes to ROS 2 core (structured parameters).”
“ML/LLM practitioner with experience at Truveta building an LLM-based evaluation framework; identified non-overlapping evaluator failure modes and proposed an ensemble approach that enabled scaling training data and drove ~5% performance gains across multiple internal projects. Strong focus on robustness to distribution shift (augmentation/domain adaptation/meta-learning) and production reliability via monitoring, drift detection, and safe fallbacks.”
Junior Software Engineer specializing in robotics and real-time distributed systems
“Robotics software engineer focused on low-compute navigation/SLAM: built a 6-DOF SLAM validation pipeline (IMU + 2D LiDAR + ultrasonic) producing ~1cm OctoMap accuracy and deployed it on an Intel Atom by optimizing particle-filter SLAM with a greedy max-likelihood update. Deep ROS 2 experience (executors, composable/lifecycle nodes, QoS, timestamping) plus simulation and deployment tooling (Gazebo C++ plugins, Docker, CI/CD, ROS 2 build farm) and drone navigation work with MAVROS/PX4.”
Junior Machine Learning Engineer specializing in computer vision for medical imaging
“Applied ML/LLM practitioner working in healthcare-facing products, using RAG and LoRA fine-tuning on medical data and implementing production monitoring (confidence scoring) for clinician oversight. Has hands-on experience debugging agentic/LLM pipelines (including OCR preprocessing fixes) and regularly delivers technical demos to doctors, investors, and conferences—contributing to adoption and even helping close a funding round through end-to-end pipeline walkthroughs.”
Intern Data Scientist / Software Engineer specializing in ML, computer vision, and cloud
Intern-level Software Engineer specializing in backend systems and applied AI