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Vetted Graduate Research Assistants
Pre-screened and vetted.
Nipun Agarwal
Junior Software Development Engineer specializing in AI/ML systems
Shrey Wadhawan
Entry-Level Software Engineer specializing in systems, networking, and ML
“Robotics software candidate with hands-on experience building controllers for an Autonomous Underwater Vehicle, including dual-PID control in Python with state-space modeling and a planned path to LQR. Developed ROS nodes for odometry-based localization, waypoint planning, and control command publishing, validated through a custom Gazebo/ROS simulation workflow with control-metric-driven testing. Also worked on F1Tenth simulation and scan-matching localization (PL-ICP), with additional cloud deployment experience using Docker/Kubernetes and CI/CD.”
Dana Spiegel
Executive CTO and product leader specializing in enterprise AI/ML and digital transformation
Amanda Rodriguez
Intern Biomedical Data Scientist specializing in healthcare AI and LLM-based clinical NLP
Seongjae Ahn
Intern/Junior Robotics & Controls Engineer specializing in simulation, teleoperation, and diffusion policies
“Robotics software engineer focused on simulation-to-teleoperation pipelines in NVIDIA Isaac Lab/Isaac Sim, including custom Dynamixel motor control integrated with USD/physics for dataset collection. Has hands-on ROS2 Humble + MoveIt2 integration for UR + Robotiq in Omniverse and builds Docker/CI workflows for GPU-enabled robotics stacks; also brings MPC coursework and multi-robot ocean drone comms experience (XBee/I2C).”
Manish Gawali
Senior Applied Scientist specializing in LLMs, GenAI, and agentic systems
Devdatt Golwala
Mid-level Data Scientist/ML Engineer specializing in LLMs, NLP, and recommender systems
Khin Yone
Mid-level NLP Research Engineer specializing in LLM evaluation and retrieval-augmented QA
Madhu Sudhan Reddy Konda
Mid-Level Software Engineer specializing in backend, distributed systems, and AI/ML platforms
Sri Harsha Vardhan Jella
Junior Data/Backend Engineer specializing in distributed systems and streaming pipelines
Pratima Singh
Senior Full-Stack Software Engineer specializing in FinTech, cloud microservices, and blockchain
“Python/ML engineer with strong DevOps depth: built an end-to-end regime-aware stock prediction system (custom fine-tuned FinBERT sentiment + technical/macro features) delivering a 12% accuracy lift. Also implemented Kubernetes/Helm + Jenkins/GitHub Actions pipelines (including GitOps-style workflows for multi-cloud Hyperledger Besu) and improved deployment speed/stability by ~50% while addressing race conditions and image drift.”
Sharon Dev Saseendran
Intern/Junior Software Engineer specializing in full-stack, cloud, and AI/ML systems
Atharvraj Patil
Mid-level Software Engineer specializing in LLMs, RAG, and GenAI backends
Lakshmi Sai Charan Sarikonda
Mid-Level Full-Stack Software Engineer specializing in Java/Spring and .NET
Thong Nguyen
Junior Robotics Engineer specializing in humanoid RL, teleoperation, and sim-to-real deployment
Bharat Gogineni
Engineering Director specializing in distributed systems and enterprise cloud platforms
“Engineering lead/player-coach working on project management software, owning a high-impact scheduling algorithm rewrite focused on performance, maintainability, and documentation after prior team turnover caused regressions. Previously at EOX Vantage, helped an insurance client modernize monolithic workflows by scoping ambiguous requirements into a roadmap and shipping a day-one MVP before iterating with value-add features.”
Darshi Shah
Junior Product/UX Designer specializing in AI-powered experiences and human-centered research
“Product/UX designer building an end-to-end startup MVP for small banks/credit unions to benchmark against regional competitors, including a custom design system and working prototypes created with Cursor/v0 and prompt engineering. Has experience translating complex finance analyst workflows into intuitive UX and running structured moderated usability tests with quantitative metrics; also led sensitive health research (20+ users) that shifted direction away from AI chatbot replacement.”
Barath Kumar Jayachandran Kanchanamalini
Junior Robotics & Controls Engineer specializing in UAV autonomy and embedded systems
“Robotics software engineer focused on autonomous drones and mobile robotics: implemented a sliding mode inner-loop controller and a RealSense T265 VIO state-estimation pipeline integrated into ArduPilot EKF3 for GPS-denied indoor flight. Strong simulation-to-deployment experience (Gazebo/MAVROS to firmware), ROS2 networking/debugging, and hands-on validation through multi-sensor trials and log analysis.”
Fan Zhang
Mid-level Robotics & Control Researcher specializing in safe control for UAVs and manipulators
“Robotics software engineer who led an end-to-end learning-based UAV controller project, addressing oscillation issues through simulation, gain tuning, and a shift to geometric control. Has ROS experience spanning UAV mocap-based perception and an autonomous driving stack (LiDAR, mapping, AMCL, controller), plus real-world distributed ROS communication over WiFi with performance troubleshooting.”
Deep Dhanasekaran
Director of Engineering specializing in AI and geospatial SaaS platforms
Sri shakunthala yerneni
Junior Robotics Engineer specializing in mechatronics integration and ROS-based control
CharanSai Bandaru
Mid-level Mechanical Design Engineer specializing in aerospace, automotive, and electro-mechanical hardware
James Eilertsen
Director of Intellectual Property specializing in technology transfer and deep-tech licensing