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Vetted Research Assistants in North Carolina
Pre-screened and vetted in North Carolina.
Junior Software Engineer specializing in cloud infrastructure and embedded systems
Senior Robotics Software Engineer specializing in manipulation, perception, and multi-sensor fusion
Samuel Ehrenstein
Mid-level Computer Vision & ML Researcher specializing in medical imaging and 3D vision
“PhD (CS) candidate with hands-on autonomy and robotics experience: improved safety-critical behavior for Kodiak’s self-driving 18-wheeler trucks, increasing overtaking clearance by ~2 feet and reducing safety alerts. Also debugged a C++ SLAM system for 3D colon reconstruction and built a low-budget distributed simulation cluster using Linux, Docker, and Python, plus implemented multi-hop SSH-based comms for an underwater robotics competition minibot.”
Senior Software Engineer specializing in FinTech and AI-driven product experiences
Junior Robotics & ML Engineer specializing in computer vision and transformer models
Shashank Walke
Mid-level Software Engineer specializing in systems, cloud, and applied machine learning
“Robotics software engineer focused on ROS 2 localization/SLAM: built a particle-filter (Monte Carlo) localization system in Python with likelihood-field modeling to handle noisy LiDAR and dynamic environments. Strong in debugging ROS 2 integration issues (tf2 frame sync, DDS/QoS message reliability) and in profiling/optimizing pipelines to reach real-time performance (~10 Hz) using precomputation and KD-trees.”
Mid-Level Software Engineer specializing in backend microservices and distributed systems
Mid-Level Software Engineer specializing in Java/Spring microservices and cloud platforms
Intern Embedded Software Engineer specializing in robotics, networking, and edge AI
Mid-level Robotics & Computer Vision Engineer specializing in GPS-denied autonomy
Niharika Govinda
Junior Machine Learning Engineer specializing in NLP, data pipelines, and LLM workflows
“Built and shipped a production LLM-powered decision system that replaced a slow, inconsistent manual review process by turning messy text into structured, auditable outputs behind an API. Demonstrates strong end-to-end ownership of reliability and operations (schema validation, retries/fallbacks, latency/cost controls, monitoring for drift) and a disciplined approach to evaluation and regression testing. Experienced collaborating with non-technical reviewers to define success criteria and deliver interpretable outputs that get adopted.”
Erick Ortega
Junior Embedded & Computer Vision Engineer specializing in Edge AI and QA automation
“Built a Meta-style AI smart glasses system emphasizing on-device privacy and low-latency processing, spanning ESP32-S3/FreeRTOS firmware through an NVIDIA Jetson Linux edge-AI pipeline in Python/Docker. Strong in real-time streaming optimization (zero-copy GDMA, deterministic scheduling), encrypted transmission (AES-256), and reliability via stress testing and robust error handling; currently building CI/CD automation tests using Playwright and computer vision.”
Negasa Yahi
Mid-level Robotics & Controls Engineer specializing in autonomous vehicle motion planning
“Robotics software engineer focused on UAV multi-agent collision avoidance, combining Behavior Trees with MPC and validating in a ROS-based simulator via PX4 hardware-in-the-loop. Has hands-on experience debugging real-time estimation/control issues (EKF noise/arming failures), building distributed ROS service architectures, and smoothing MPC trajectories to meet kinematic and FAA right-of-way constraints.”
Mid-level Machine Learning Researcher specializing in AI safety, adversarial robustness, and multimodal alignment
Junior Full-Stack Software Engineer specializing in web apps, cloud, and ML inference