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Vetted MATLAB Professionals

Pre-screened and vetted.

SU

Shivam Udeshi

Screened

Intern Robotics/ADAS Engineer specializing in perception, sensor fusion, and state estimation

2y exp
Magna ElectronicsUniversity of Michigan

Robotics software engineer who built a multi-agent dense warehouse mapping system in ROS 2, including LiDAR-camera fusion SLAM, timestamp-based synchronization, and DDS-based inter-robot pose/keyframe exchange under bandwidth constraints. Also applied Gaussian Splatting for selective photorealistic dense reconstruction and optimized real-time performance with node composition, bounded queues, and QoS tuning; experienced with Gazebo/CARLA/Unity simulation and Dockerized ROS 2 deployments.

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NB

Mid-level Robotics Planning & Control Engineer specializing in UAV autonomy

Berkeley, CA6y exp
University of California, BerkeleyNYU

Robotics software engineer focused on autonomy for fixed-wing and quadrotor UAVs, with deep experience in planning and advanced control (geometric control, trajectory optimization, nonlinear MPC). Recently designed an energy-aware NMPC for an autonomous glider, building a custom simulation/visualization framework to tune reward formulations. Has hands-on field deployment experience integrating ROS with PX4, optimizing node architecture for zero-copy performance, and building heterogeneous robot comms using Zenoh.

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JA

Mid-level Robotics Software Engineer specializing in ROS2 autonomy and manipulation

San Jose, CA4y exp
HondaWorcester Polytechnic Institute

Robotics software engineer with hands-on experience building ROS2-based distributed multi-robot systems, including task allocation (distance cost matrix) and navigation using Nav2/DWA. Previously on Vicarious’s grasping team, implementing real-world box-picking with vacuum suction and force/torque sensing plus recovery behaviors. Also brings strong engineering hygiene with Gazebo simulation, Dockerized deployments across offices, and GitHub Actions CI/CD with unit/integration testing.

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KA

Mid-level Machine Learning Engineer specializing in NLP, LLMs, and multimodal modeling

Ann Arbor, USA3y exp
University of MichiganUniversity of Michigan

Built and productionized a telecom-focused RAG assistant by LoRA fine-tuning LLaMA-2 and integrating LangChain+FAISS behind a FastAPI service, with dashboards and a human feedback UI for engineers. Demonstrated measurable impact (≈40% faster document lookup, +8–10% retrieval precision) and strong MLOps rigor via Airflow orchestration, CI/CD, and monitoring for drift and failures.

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OD

Orin Davis

Screened

Executive HR & Talent Consultant specializing in culture, DEI, and hiring science

New York, NY16y exp
illuceoClaremont Graduate University

Org/people advisor with 20+ years applying systems thinking and data-driven methods to high-stakes change—spanning DEI transformations at an international consulting firm, profitability turnarounds in eldercare via company-wide facilitation, and executive coaching. Also designs compensation benchmarks for novel roles at international tech companies, enabling successful global hiring and growth.

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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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JP

Jincheng Pang

Screened

Principal Data Scientist specializing in healthcare analytics and medical imaging AI

Sudbury, MA11y exp
AccessHopeTufts University

Developed an LLM-driven recommendation agent in Azure Databricks to triage oncology patients and trigger second-opinion case creation using medical claims and EHR data. Uses ICD-10/CPT/J-code features in prompts, embeddings + vector DB similarity, and a backtesting framework emphasizing recall to avoid missing clinically relevant cases while supporting business revenue.

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LP

Senior Project/Program Manager specializing in automotive embedded product development

Cary, NC26y exp
BoschAcharya Nagarjuna University

Automotive embedded product leader (player-coach/product-functional engineering) who helped ship a cybersecurity gateway ECU into production, owning architecture decisions, critical module reviews, and delivery. Demonstrated hands-on security/diagnostics expertise (ADA, RSA) and production defect ownership, plus experience tailoring quality-gate processes to speed variant delivery without sacrificing quality.

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XX

Xinle Xu

Screened

Junior Product Manager specializing in GenAI and global e-commerce

Remote6y exp
ByteDanceNortheastern University

字节跳动实习期间将内部AI重量预测模型从“可用但难上线”的单点能力,改造成可商业化复用的通用API:统一多地区接口与评估口径,设计分层兜底与置信度分级,先灰度上线SEA/JP并推动US/EU落地,结合线上结果进行模型微调。具备LLM/RAG/Agent系统的实战排障方法论,以及面向开发者与售前场景的技术演示与跨团队推进能力。

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RR

Mid-level Robotics Software Engineer specializing in multi-robot control and automation

Atlanta, GA4y exp
Georgia Institute of TechnologyGeorgia Tech

Robotics software engineer with ~7 years of ROS/ROS2 experience spanning dual-arm metal additive manufacturing and prior work on the DARPA Subterranean Challenge. Developed in-house multi-arm collision/trajectory planning and achieved a major calibration improvement (from ~6 cm error to ~0.5 mm) via ICP point-cloud registration, with strong simulation/digital-twin, SLAM, and deployment (Docker/CI/CD) exposure.

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EG

Mid-level Robotics Researcher specializing in kinodynamic motion planning

Rutgers, USA7y exp
Rutgers UniversityRutgers University

Robotics software engineer focused on real-time estimation/control and motion replanning, currently integrating a factor-graph-based estimation/control stack with sampling-based replanning in a ROS environment validated on both MuSHR hardware and MuJoCo simulation. Strong in distributed-system debugging (rosbags/logging, controlled test scenarios) and ROS performance patterns (nodelets, TF/TF2), with prior multi-robot experience from SSL RoboCup using custom UDP protocols.

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RK

Intern Electrical Engineer and Robotics Researcher specializing in automation and embedded systems

Ogden, UT2y exp
Robotics and Intelligent Systems LaboratoryArizona State University

Robotics researcher/team lead from ASU’s Robotics and Intelligent Systems Lab who rebuilt a failing soft-robotics test bench into a modular 8-Arduino, ROS 2/Python-controlled data-collection system, doubling sampling performance and dramatically reducing downtime. Currently doing thesis work on physics-informed neural network (PIRNN/RNN) modeling of a pneumatically actuated soft robotic arm using experimentally collected trajectory/pressure data.

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TT

Thomas To

Screened

Mid-level Full-Stack Engineer specializing in AI/ML data platforms for biotech and FinTech

Emeryville, CA6y exp
Canventa Life SciencesUC Davis

AI/ML full-stack practitioner in a small-scale manufacturing/lab operations environment who deployed a production ML system to improve blood cell order fulfillment by predicting yield/success from donor characteristics. Experienced building custom multi-agent orchestration (Python, LangChain/LangGraph, MCP) and balancing reliability, data quality constraints, and token/ROI economics while communicating tradeoffs to VP-level business stakeholders.

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SS

Mid-level NLP/LLM Researcher specializing in question answering and retrieval-augmented generation

State College, PA6y exp
BoschPenn State University

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.

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SL

Samuel Luther

Screened

Senior Software Engineer specializing in full-stack systems, data pipelines, and ML

Seattle, WA8y exp
ExponentGeorgia Tech

Built and productionized an autonomous research agent (AutoGPT) in a Docker/Kubernetes environment with Pinecone-based long-term memory and custom Python tools for analysis, visualization, and report drafting. Implemented layered guardrails (prompt templates, automated validation, self-critique loops, and monitoring) and achieved ~25% reduction in manual report generation time while scaling the workflow to support multiple concurrent users.

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NT

Natalie Tsang

Screened

Intern Mechatronics/Robotics Software Engineer specializing in ADAS and ROS2

Waterloo, ON1y exp
Harbinger MotorsUniversity of Waterloo

Robotics software engineer with experience spanning embedded C++ control on microcontrollers and ROS/ROS2 production systems in automotive and marine robotics contexts (Harbinger Motors, Impossible Metals). Has deep hands-on experience debugging real-time image pipelines (DDS/QoS tuning, HIL stress testing) and building large automated test suites (1200+ tests) plus CI/CD (Dockerized Playwright tests on Jenkins).

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AA

Mid-level Robotics & Computer Vision Engineer specializing in ADAS and real-time perception

Remote3y exp
AthlitixNortheastern University

Robotics/ADAS engineer who built an assistive feeding robot with reliable 3D mouth tracking (RealSense + MediaPipe) and ROS 2 integration to a WidowX250s arm, solving depth-noise, timing, and workspace/singularity issues for stable low-latency behavior. Also optimized a real-time lane-keeping controller at Hyundai using signal logging/replay, filtering (LPF/Kalman), and feedforward+PI tuning, with experience across SIL/HIL and CAN-based ECU integration.

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BG

Intern Biomedical Engineering student specializing in neuroscience and EEG data analysis

Santa Cruz, CA0y exp
Science Internship ProgramDuke University

Operations/process-focused leader with hands-on manufacturing and quality mindset: improved product stability by preventing oxidation via inert gas and oxygen monitoring, and implemented sensor-based automation to maintain conditions without manual intervention. Uses time studies and benchmarking to redesign workflows (reported ~60% labor reduction per batch) and trains teams on GMP/regulatory and contamination-control practices using practical demonstrations.

MATLABData analysisEEG data analysisNeuroscience researchBiomedical engineeringResearch presentation+33
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SS

Mid-level AI Engineer specializing in Generative AI, MLOps, and NLP for finance and healthcare

Remote, USA4y exp
EYUniversity of South Florida

Built and deployed a secure, production LLM-based document summarization and risk-highlighting tool for financial auditors, running inside a private Azure environment to protect confidential data. Focused on reliability (hallucination mitigation via retrieval-based prompts and source citations) and validated performance through comparisons to auditor summaries plus a user pilot, cutting review time by about half.

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AR

Arman Riahi

Screened

Senior Software Engineer specializing in identity, integrations, and cloud platforms

5y exp
Daft Balance, LLCUC Berkeley Extension

Customer-facing technical/product professional with hands-on experience delivering an LLM-driven document processing feature from design to production, including monitoring, logging, and LLM evals. Demonstrates a pragmatic approach to agentic/LLM workflows (using deterministic logic where possible), strong stakeholder alignment, and sales enablement through demos, tutorials, and direct customer calls; has presented to principal engineers (Intuit) and taught coding bootcamps (eBay).

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SS

Junior Software Engineer specializing in machine learning and control systems

Toronto, Canada2y exp
Tamaki ControlsUniversity of Waterloo

Robotics-focused candidate with multiple university robotics projects (MTE 380, MTE 544) and ROS 2 (Humble/Galactic) experience spanning perception, navigation, and simulation. Built a vision-based line-following and retrieval robot using HSV filtering and homography, and debugged real-time PID overshoot issues via timestamping/rate-limiting. Comfortable with distributed ROS 2 architectures (Python perception + C++ control), DDS/QoS, Gazebo testing, and Dockerized deployment.

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SL

Sabrina Liu

Screened

Junior Robotics & ML Engineer specializing in robot learning and simulation

Ithaca, NY2y exp
Cornell Center for Teaching InnovationCornell University

Robotics engineer with a 2024 internship building an end-to-end software stack for an autonomous humanoid robot that follows natural-language audio commands to make coffee and deliver snacks, including perception (OpenCV), mapping, and ROS Navigation. Also contributing to a robotics foundation model effort by building data preprocessing pipelines using GroundingDINO and SAM2, and has multi-robot coordination experience with algorithms designed to handle real-world communication drops.

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KV

Intern Robotics Engineer specializing in ROS2 autonomy and robotic simulation

Orono, Maine3y exp
Advanced Structures and Composites CenterUniversity of Maine

Robotics engineer/team lead who built an autonomous lunar rover for the NASA Lunabotics challenge, owning electrical systems, comms (UART/WiFi), and autonomy using RealSense + custom YOLO on a Jetson Orin Nano. Also has extensive ROS 2 experience, including creating a ROS2+Gazebo environment with ros2_control custom controllers for a large-scale additive manufacturing printer and research/thesis work in multi-robot coordination and robustness.

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