.png){kind=logo}
Vetted Research Assistants in Pennsylvania
Pre-screened and vetted in Pennsylvania.
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native AI systems
Junior Software Engineer specializing in bioinformatics and healthcare applications
Haoran Yang
Entry-level Robotics Research Assistant specializing in contact-implicit MPC and manipulation
“Robotics software engineer who built and tuned a contact-implicit MPC controller for a full planar pushing manipulation pipeline (“Push Anything”), including a key fix for complementarity violations that eliminated “ghost pushes” and cut time-to-goal from 40s to 25s. Hands-on with ROS/MoveIt on real robot pick-and-place, improving hardware grasp reliability through TF/frame debugging, and uses Drake/URDF for simulation, contact detection, and MPC development.”
Samuel Prabhakar Vara
Mid-level AI Engineer specializing in machine learning and healthcare research
“Backend engineer with end-to-end ownership of scientific and AI-powered systems, including neuron imaging pipelines at Monell Chemical Senses Center and an LLM-based structured information extraction platform for Wharton and PSG. Stands out for turning messy, compute-heavy workflows into reliable production backends with measurable impact, including saving researchers over 50 hours per week.”
Junior Machine Learning Engineer specializing in LLMs and retrieval-augmented generation
Mid-level Robotics Engineer specializing in autonomous navigation and robot perception
Senior NLP Research Scientist specializing in summarization, argument mining, and LLM evaluation
Intern Controls & Robotics Engineer specializing in automation and reinforcement learning
Junior Full-Stack Software Engineer specializing in web platforms and algorithms
Saptarshi Sengupta
Mid-level NLP/LLM Researcher specializing in question answering and retrieval-augmented generation
“Built ToolDreamer, a framework for selecting relevant tools for LLM agents by training a retriever on LLM-generated reasoning traces, and has hands-on experience building multi-agent systems in AutoGen (MAG-V) focused on question generation and tool-trajectory verification. Currently works as an AI-guides supervisor at Penn State, regularly communicating AI concepts to non-technical stakeholders.”
Gihyun Shim
Junior Machine Learning & Robotics Engineer specializing in diffusion models and autonomous control
“UPenn robotics researcher who architected a real-time autonomous driving decision-making engine, integrating LSTM trajectory prediction with MPC in CARLA and adding conformal prediction to deliver 95% statistical safety guarantees under strict latency constraints. Also built and debugged an autonomous quadrotor stack with ESKF-based 6-DoF tracking and optimized A*/Dijkstra planning to eliminate latency-induced instability, with experience bridging heterogeneous simulation/control systems.”
Entry-Level Robotics Research Assistant specializing in autonomous systems and reinforcement learning
Mid-level Computer Science PhD Researcher specializing in privacy-preserving sensing and HCI
Entry-level business analyst specializing in analytics, AML compliance, and BI
Clea Ramos
Junior UX/UI Designer and Front-End Engineer specializing in accessible web products
“UX/UI designer and frontend engineer with hands-on project leadership experience, including leading a 6-person engineering team to deliver an accessible video conferencing system for older adults in senior care. Particularly compelling for mission-driven or health-adjacent products: they combined stakeholder research, WCAG-minded design, frontend implementation, and post-launch testing to improve usability and cut system cost by 40%+.”
Junior Electrical Engineer specializing in robotics and control systems
Entry-Level Full-Stack Developer specializing in applied machine learning
Sree Gautham Alluri
Mid-level Robotics & AI Developer specializing in autonomous navigation and LLM-powered robotic systems
“Robotics Support Engineer at HAI Robotics supporting a 385-robot warehouse fleet at a Shein client site. Built a production automation and reporting workflow to diagnose and resolve abnormal shelf locations, cutting incidents from ~250/day to ~25/day while providing actionable root-cause data to client/ops/maintenance. Hands-on ROS 2 (Humble) debugging across Nav2/localization/TF and sensor integration issues including QoS and firmware coordination.”
Mid-level Sourcing & Supply Chain Analyst specializing in procurement analytics and cost reduction
Senior Autonomy & GNC Researcher specializing in state estimation, sensor fusion, and control