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Vetted Research Assistants
Pre-screened and vetted.
Qianfan Luo
Junior Software Engineer specializing in backend systems and AI/ML pipelines
“Robotics-focused engineer with ROS 2 experience who has built and debugged real-time, distributed control/orchestration systems under production-like latency and safety constraints. Led platform changes at Persona for a real-time verification orchestration system using deterministic state machines and async workers, and has hands-on experience stabilizing multi-robot navigation/SLAM behavior using rosbag, RViz, and stress testing in simulation (Gazebo).”
Daksh Adhar
Junior Robotics & Reinforcement Learning Engineer specializing in dexterous manipulation
“Robotics software engineer (master’s student) who placed 3rd in the CMU VLA challenge and presented at IROS, building an LLM-powered language system (Gemini 2.5) for mobile-robot scene Q&A and language-based navigation. Hands-on ROS1/ROS2 experience including ros2_control + PILZ planning for a KUKA arm, plus simulation (Gazebo) and containerized submissions with Docker.”
Rana Taki
Junior Mechanical Engineering & Software Developer specializing in aviation autonomy and retrieval systems
“Robotics/embedded builder who trained an aviation-specific LLM and deployed it offline on an NVIDIA Jetson for an in-flight voice assistant, solving performance and cabling constraints with NVMe storage and Bluetooth. Also has hands-on Raspberry Pi/Arduino robot builds (including a cigarette-butt picking prototype with hydraulic actuation) plus Docker-based FEA work using FEniCS/Gmsh and strong CI/CD + automated testing practices.”
Prahlad Vivek
Intern Robotics Engineer specializing in robot learning, SLAM, and control
“Robotics architect intern/new-grad focused on warehouse AMRs, building ROS2 sensor-fusion and SLAM stacks (FastSLAM-style particle filter) and validating in Gazebo with ground-truth metrics. Also interned at ASML debugging real-time in-vacuum robot behavior via Python state-machine telemetry scripts, identifying a firmware driver issue impacting throughput.”
Christian Alcala
Mid-level Software Engineer specializing in LLM-powered analytics
“Engineer with a pragmatic, production-focused approach to AI development, emphasizing verification, observability, and system design over hype. Built LLM-driven features and automated regression/validation pipelines, including quality measurement work at Oracle, and uses hands-on projects to test how AI fits into real business workflows.”
Omri Galor
Mid-level quantitative analyst and startup founder specializing in predictive analytics and FinTech
“Analytical operator with an unusual mix of public-sector strategy, startup investing, Deutsche Bank quantitative risk work, and hands-on startup cofounding. He has operated from institutional finance to zero-to-one execution, including driving a model improvement that reduced unnecessary loss impact by tens of millions and helping convert startup partnership outreach into a formal acquisition review.”
Intern Machine Learning Engineer specializing in AI security and anomaly detection
Entry Software Engineer specializing in AI infrastructure and ML inference systems
Junior Software Engineer specializing in AI, data systems, and cloud applications
Junior Software Development Engineer specializing in AWS cloud services and SDN
Intern AI/ML Engineer specializing in LLM agents, RAG, and computer vision
Senior High-Voltage Battery Systems Engineer specializing in EV safety and thermal runaway mitigation
Mid-level Robotics & Computer Vision Engineer specializing in humanoid manipulation and RL
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native AI systems
Senior Robotics Research Scientist specializing in safe, communicative motion planning and ML
Senior Software Engineer specializing in AI/ML evaluation and full-stack systems
Intern-level investment and strategy professional specializing in M&A, private equity, and e-commerce
Mid-level Computer Vision Engineer specializing in robotics perception and mapping
Junior Robotics Engineer specializing in autonomous systems and robot learning
Junior Software Engineer specializing in bioinformatics and healthcare applications
Junior Software Engineer specializing in distributed systems and streaming platforms
Harsha Kotta
Intern Robotics Researcher specializing in state estimation, SLAM, and sensor fusion
“Robotics software engineering intern at Bell Labs who overhauled indoor mobile robot localization in a ROS 2 stack, combining EKF + particle filtering with a neural network to handle BLE multipath disturbances. Delivered a major accuracy gain (~50 cm to sub-20 cm), earned a company Innovation award, published a paper, and saw the approach adopted across the company’s robot fleet.”