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Vetted Research Assistants

Pre-screened and vetted.

JK

Junior AI/ML Engineer specializing in LLMs, RAG, and multimodal agents

Los Angeles, CA2y exp
Scale AIUSC
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SB

Intern Robotics & Reinforcement Learning Engineer specializing in ROS2 manipulation and SLAM

Boston, MA1y exp
Sony AINortheastern University
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BY

Junior Software Engineer specializing in full-stack web and Android development

Fremont, CA3y exp
Cornell DEFT LabUSC
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SS

Mid-level ML Engineer specializing in computer vision and robotics

Buffalo, NY3y exp
Nissha Medical TechnologiesUniversity at Buffalo
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WW

Junior AI Engineer specializing in computer vision, LLM infrastructure, and generative media pipelines

Pasadena, CA2y exp
Nebula AIJohns Hopkins University
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FW

Staff-level Robotics & Computer Vision Software Engineer specializing in real-time GPU/ROS systems

Orlando, FL12y exp
Electronic ArtsClemson University
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DC

Junior Data Scientist specializing in causal inference, NLP/LLMs, and forecasting

San Diego, CA3y exp
StepStoneJohns Hopkins University
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YG

Senior Software Engineer specializing in video streaming and media platforms

New York, NY6y exp
PelotonUniversity of Illinois Urbana-Champaign
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SP

Junior Robotics & Controls Engineer specializing in state estimation, simulation, and ROS2

Tucson, AZ1y exp
PTCNortheastern University
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JC

Junior Machine Learning Engineer specializing in LLMs and applied NLP

New York, NY2y exp
New York UniversityNYU
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VD

Mid-level Machine Learning Engineer specializing in LLMs, RAG, and document intelligence

Bloomington, IN5y exp
Project 990Indiana University
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KG

Junior Software Development Engineer specializing in ML, NLP, and data visualization

Irvine, CA2y exp
UCIPTUniversity of Chicago
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GP

Junior Software Engineer specializing in LLMs, RAG, and Knowledge Graphs

New York, NY2y exp
Arena InvestorsColumbia University
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SZ

Intern Software Engineer specializing in systems, networking, and GPU computing

Santa Clara, CA2y exp
Arista NetworksUSC
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ME

Intern Machine Learning Engineer specializing in LLMs, retrieval, and vision-language models

San Jose, CA3y exp
AdobeSan José State University
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SW

Junior Full-Stack/Cloud Engineer specializing in AI and data-driven applications

Los Angeles, CA1y exp
Zage Business of Energy InitiativeUSC
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VP

Veerash Palanichamy

Screened ReferencesStrong rec.

Mid-level Robotics Software Engineer specializing in ROS2 and medical microrobotics

ON, Canada4y exp
McMaster UniversityMcMaster University

Robotics software engineer with ~7 years of ROS/ROS2 experience spanning Mars rover simulation/navigation, robot arm integration (URDF/MoveIt/ros2_control), and medical magnetic actuation systems using RGB-D feedback. Built a 5-DOF CNC-like magnetic capsule navigation prototype end-to-end and has deep hands-on skill debugging real-time control issues (CAN, encoder timing, controller tuning) plus PLC/Modbus-to-ROS2 integration.

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SS

Saffinah Shi

Screened

Junior Software Engineer specializing in full-stack, cloud serverless, and AI systems

Los Angeles, US2y exp
CoreSpeedNorthwestern University

SDE who worked on an MGICS Lab robotics project building a multi-agent model to help agents understand tasks and generate robot instructions, emphasizing task-splitting, checking, and a reflection agent to improve accuracy. Also has experience using GitHub with automated CI/CD pipelines.

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IK

Junior Robotics & Controls Researcher specializing in optimization, MPC, and reinforcement learning

Los Angeles, CA
University of Southern CaliforniaUSC

Robotics software candidate who designed and implemented a hierarchical motion-planning and whole-body control pipeline for a 37-state Spot robot to traverse complex terrain, using Graph of Convex Sets for safe footstep selection plus optimization-based IK and nonlinear trajectory optimization for joint trajectories/contact forces. Strong in optimization-heavy robotics workflows (PyDrake, MATLAB/Simulink) and methodical debugging down to signal-level and numerical stability; has not used ROS/ROS2 yet.

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SR

Mid-level Robotics & Controls Engineer specializing in safe autonomy and perception-aware motion planning

Itasca, IL4y exp
The RDI GroupJohns Hopkins University

Robotics software engineer who built an open-source, real-time Cartesian controller for Universal Robots UR5/UR5e, targeting sub-mm accuracy at 500 Hz within ROS2/ros2_control. Demonstrates strong real-time debugging skills (timing profiling, singularity handling with Tikhonov regularization) and sim-to-real iteration using Gazebo/Isaac Sim plus physical hardware tuning; also has ROS1 experience building URDF/xacro and EKF configs for an underwater vehicle and has developed drone/robot packages.

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DT

Dylan Tang

Screened

Intern Software Developer and ML Researcher specializing in medical imaging and computer vision

Chicago, IL0y exp
IDX ExchangeUniversity of Chicago

AI/ML practitioner with experience spanning audio/LLM applications (built "Iota" using Whisper, tiktoken, and a local Ollama-served LLM) and healthcare ML (Facemed.ai; UChicago Radiology). Demonstrates a production-oriented mindset—focus on data/model fit, deterministic field testing, and operational safeguards—and has improved research evaluation workflows via a hash-table-based concurrent model tracking approach.

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AR

Ali Rahmati

Screened

Senior Machine Learning Engineer specializing in optimization, LLMs, and on-device AI

Santa Clara, CA9y exp
QualcommNorth Carolina State University

Engineer with hands-on experience debugging and hardening a fixed-point implementation for an internal PoC, quickly diagnosing overflow/underflow issues that caused intermittent failures across thousands of runs and delivering a code fix. Comfortable presenting technical solutions with layered slide depth and doing follow-up deep dives for interested stakeholders, though has limited direct customer/sales partnership experience.

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OB

Omkar Bhope

Screened

Staff Full-Stack Engineer specializing in AI platforms and infrastructure automation

San Jose, CA5y exp
Etched AIUC San Diego

Backend/full-stack engineer building complex internal platforms and customer-facing demos at the intersection of infrastructure and product. Shipped a no-code Product Lifecycle Manager for manufacturing (3 manufacturers, 1000+ evolving tests) using AWS S3/SQS ingestion and extensible Postgres (EAV+JSONB) with end-to-end traceability. Also built a FastAPI-based company data intelligence platform with Okta-secured RBAC and an LLM/MCP layer for ChatGPT-like analytics over enterprise data sources.

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