Vetted MATLAB Professionals

“Robotics/IoT engineer who deployed a fog-enabled real-time monitoring system (edge Raspberry Pi + MQTT + cloud logging) and validated it via an IEEE-indexed publication. Strong in autonomous navigation with ROS/Gazebo, SLAM/localization, and cross-layer debugging using timing/transform-delay correlation. Extends Python computer vision pipelines (YOLO + OpenCV/Albumentations) for custom datasets and weather-specific conditions.”

“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.”

“Candidate comes from SaaS and healthcare analytics rather than game development, but has strong end-to-end ownership experience building real-time, high-availability systems in Python/AWS. They highlight measurable impact across performance, throughput, uptime, and cost reduction, including queue optimization and predictive ICU utilization pipelines, and are looking to transfer that systems engineering foundation into Unity/gameplay work.”

“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.”

“Software engineer with experience delivering customer-facing solutions across consulting and engineering contexts (Deloitte, Coherent), including a finance reconciliation system and a firmware validation tool integrated into existing test infrastructure. Demonstrates strong on-site/customer collaboration, rapid iteration, and high-pressure debugging (CARLA demo fix), with measurable impact and a focus on adoption through familiar workflows and clear documentation.”

“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.”

“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.”

“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.”

“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.”

“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。”

Jincheng Pang

Screened

Principal Data Scientist specializing in healthcare analytics and medical imaging AI

Sudbury, MA11y exp

“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.”

Ali Rahmati

Screened

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

Santa Clara, CA9y exp

“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.”

Joshua AmrithRaj

Screened

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

San Jose, CA4y exp

“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.”

Seyi R. Afolayan

Screened

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

Itasca, IL4y exp

“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.”

Ibrahim Kurban Ozaslan

Screened

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

Los Angeles, CA

“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.”

Shivam Udeshi

Screened

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

2y exp

“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.”

“ML/LLM infrastructure engineer who built and shipped a production internal evaluation + failure-analysis agent (Arthur AI / R3AI context) that orchestrated end-to-end benchmarks with deterministic lineage, regression detection, and root-cause reporting at 5,000+ benchmarks/week. Also built backend observability and data validation systems for analytics pipelines at FullStory processing ~3.4B weekly events, emphasizing schema validation, quarantine fallbacks, and idempotent operations.”

“Candidate has hands-on experience delivering production data and AI systems, including an AWS-based real-time data platform for a financial client at Deloitte and a production RAG workflow that cut manual search time by 40%. They stand out for combining strong data engineering depth with practical LLM governance, incident debugging, and stakeholder management across business and risk/compliance teams.”

“Software engineer with experience spanning an SEL internship and Walmart, combining backend/data pipeline work (Python, Kafka, relational DBs) with DevOps practices (Docker, Grafana, GitHub/Jenkins CI/CD, GitOps). Notably contributed to a REST-to-GraphQL migration aimed at reducing cloud utilization and implemented testing strategies to validate the transition.”

Saurabh Kumar

Screened

Intern Full-Stack Developer specializing in MERN and AI applications

Kanpur, India1y exp

“Frontend-focused engineer with hands-on experience building sophisticated browser UIs, including a real-time WebRTC video chat platform for IIT Kanpur students and a high-performance NBA analytics dashboard. Stands out for deep browser performance knowledge, expert-user interface design, and competition-level execution that helped earn a global rank 2 finish.”