Vetted MATLAB Professionals

“Data engineering / ML practitioner with experience at MetLife building transformer-based sentiment analysis over large unstructured datasets and productionizing pipelines with Airflow/PySpark/Hadoop (reported 52% efficiency gain). Also implemented embedding-based semantic search using Pinecone/Weaviate to improve retrieval relevance and enable RAG for customer support and document matching use cases.”

“Engineering-focused designer who has led end-to-end design of an aerodynamic gas turbine exhaust diffuser/fairing system, working across aerodynamics, thermal, manufacturing, test, and operations. Known for improving decision-making speed and alignment by standardizing CFD/performance visualizations and restructuring complex validation workflows into more intuitive, data-readable experiences, incorporating field/inspection feedback to improve maintainability.”

“ML/NLP practitioner who built a retrieval-augmented generation (RAG) system for large financial and operational document sets using Sentence-Transformers (all-mpnet-base-v2) and a vector DB (e.g., Pinecone), with a strong focus on retrieval evaluation and chunking strategy optimization. Experienced in entity resolution (rules + embedding similarity with type-specific thresholds) and in productionizing scalable Python data workflows using Airflow/Dagster and Spark.”

“Robotics/embedded engineer who built core firmware for an autonomous underwater vehicle (AUV) used to detect wreckage in shallow coastal waters, including propulsion control, sonar/magnetometer processing, and low-frequency magnetic underwater comms. Demonstrated strong real-time systems skills by redesigning a noisy comms protocol (checksums/retries) and implementing a lightweight scheduler to stabilize heading control, plus ROS 2 sensor/control integration with tf2 and simulation/CI tooling.”

“Built a production industrial anomaly detection system for a laminator using only limited runtime logs (time/pressure/temperature) and scarce abnormal examples. Addressed inconsistent manual labeling across customers by creating an operator feedback loop for remarking predictions and retraining customized models, and communicated results to a non-technical company liaison using clear tables, trend plots, and interactive demos.”

“Recent J&J intern who built a conversational RAG agent and led a shift from a monolithic model to a modular RAG workflow, cutting response time from several days to under a second by tackling data fragmentation, context retention, and embedding/latency optimization. Also worked on a large (7B-parameter) multimodal VQA pipeline for healthcare research and stays current via NeurIPS/ICLR and open-source contributions.”

“AI/ML engineer who has deployed transformer-based NLP systems to production via Python REST APIs and Kubernetes on AWS/Azure, with a strong focus on latency optimization (p95), reliability, and scalable orchestration. Demonstrates pragmatic model tradeoff decision-making and strong stakeholder collaboration—improving adoption by making outputs more actionable with summaries, extracted fields, and confidence indicators.”

“Built and deployed an end-to-end product that brings a research-paper approach into production for large-scale time-series clustering, with attention to partitioning, latency, and scalability. Also designed a Python-based backend validation service (comparing outputs to database ground truths) and handled production reliability issues by reproducing dataset-specific crashes and hardening corner-case behavior with client-friendly errors.”

“Robotics software builder who developed a solo fault-adaptive robotic arm: current-based joint health monitoring feeding an ESP32, ROS 2/MoveIt 2 motion planning that adapts to joint failures, and a custom brute-force IK solver to overcome URDF/MoveIt singularity issues. Also worked on real-time 12-microphone sensor-fusion audio processing for drone navigation, resolving buffer/noise problems with multithreading and chunked sampling; experienced with Webots/CoppeliaSim and learning Isaac Sim.”

“Robotics software engineer who contributed to an autonomous bartender robot (mobile base + ReactorX200 arm), owning manipulation/grasping, Gazebo simulation, and a YOLOv6 object-detection pipeline built from a manually collected/labeled dataset. Also handled system-level hardware bring-up integrating Raspberry Pi to ESP32 over micro-ROS on ROS2 Foxy, and has additional ROS package experience in EKF sensor fusion (IMU+GPS) and an autonomous disaster response boat.”

“LLM/agent builder who has shipped production AI systems in the wellness space, including an LLM-powered food tracking product used by 5000+ users and a voice/call-routing onboarding workflow using LangGraph/LangChain with LiveKit and Twilio. Strong focus on practical reliability work: latency reduction, retrieval/embedding tuning, and CI-driven evaluation with simulations and metrics.”

“Backend-focused Python engineer who owned and deployed EcoHero, a recycling guidance app using FastAPI + Firebase with barcode lookup, ZIP-code-based state rules, and user history tracking backed by 50 state datasets. Has hands-on Kubernetes + Docker experience and uses GitHub Actions and GitOps-style PR workflows for consistent deployments, plus event-driven async processing patterns with idempotency and retries.”

“Built a live free-to-play web-based financial market simulation game (YouTube-channel stock market) as a hobby project, now serving 3000+ users. Implemented core F2P systems including gacha, timed progression gates, and analytics-driven monitoring of engagement and economy health using a TypeScript/Python stack with Redis and Postgres.”

“Embedded/software candidate who built an arcade-style game on a PSoC6 ARM microcontroller using FreeRTOS and custom peripheral/protocol drivers, ultimately completing the project as the sole developer. Also brings strong systems tooling exposure (Docker-heavy coursework, Kubernetes familiarity) plus internship experience at Accenture working with CI/CD-based validation and debugging in a client environment.”

“Product designer/hardware prototyper building Saccade (VR headset attachment for Apple Vision Pro) to enable earlier, lower-cost Alzheimer's detection via eye-tracking and on-device CV/ML; designed a custom biocompatible snap-on light-shield replacement with integrated cameras/PCB after Apple camera-data restrictions. Also has biomedical manufacturing experience (major fixture-driven throughput gains) and leads a 160-member Assistive Technology Club sponsored by Apple and Google.”

“Built a healthcare app backend and supporting product pieces from scratch for Maverick Health—covering database schema, API structure, Node.js implementation, and UI design in Figma—while targeting 10,000 patients and keeping AWS run costs to ~$20–$30/month. Shipped an Android closed beta on Google Play and handled real-world launch hurdles like privacy policy compliance and push notification infrastructure.”

“Lead Robotics Software Engineer (forREAL, inc.) who built a production-ready indoor 3D reconstruction + autonomy stack: factor-graph multi-sensor SLAM (GTSAM), Gaussian-splatting virtual tours, RRT* planning over voxelized reconstructions, and 3D object anchoring using Grounding DINO + SAM2. Has deployed ROS2 systems across drones, AMRs, and ADAS simulation (CARLA), and supported multi-robot surgical platforms at Noah Medical using DDS namespaces/topic remapping.”

“Robotics engineer who led core autonomy stack development at Spacer Robotics (Isaac ROS/ROS2) spanning sensor integration, SLAM/mapping, navigation, and validation. In a research lab thesis, built three mobile robots from scratch and created a distributed multi-agent collaboration framework with blockchain-based incentive models, demonstrating depth in both hands-on robotics and distributed systems.”

“Growth/creative marketer from Esleydunn Games who uses Google Analytics to integrate cross-channel performance data (TikTok, YouTube, LinkedIn, Facebook) and run structured A/B tests on video ad length and layout. Reported reducing CPA by 20 per customer when leveraging YouTube and TikTok, and improved CTR through CTA/button placement testing and ongoing user-feedback loops (forum/WeChat topics).”

“Backend/platform engineer who owned a Python-based smart finance assistant backend, building async FastAPI microservices with PostgreSQL/Redis and deploying to AWS EKS via Docker/Helm and CI/CD (GitHub Actions, Jenkins). Strong in production reliability and migrations—implemented observability (Prometheus/Grafana), security (JWT RBAC), and executed a low-downtime monolith-to-microservices migration plus Kafka-based event streaming with ordering/retry/idempotency patterns.”

“Robotics software/ML engineer who led an end-to-end transformer-based real-time 3D shape prediction system for a tendon-driven continuum robot on a KUKA arm, including ROS2 multi-camera RGB-D data collection, multi-view calibration, and optimized ICP point-cloud registration. Also optimized an online sensing + motion planning loop for robot-assisted surgery using Bayesian Hilbert maps and A* search, and has Gazebo + RL experience for a robotic salamander.”

“Full stack Java developer (5 years Java/Spring Boot) building a mortgage-focused rule engine platform used by business users and developers. Experienced scaling data-intensive microservices on AWS (RDS/S3/SQS) and optimizing high-volume rule processing with SQL tuning, caching (KIE container), and asynchronous task decoupling; also delivers modern UIs in Angular and React (Redux/Toolkit).”

“Sourcing/procurement professional focused on electronic components, leading end-to-end RFQ and supplier selection through negotiation and delivery. Demonstrates strong data-driven cost management (Power BI modeling, benchmark pricing) and measurable results including ~18% cost reduction, avoiding production delays during shortages, and automating RFQ comparisons to cut cycle time ~40%.”

“System Engineer with Panasonic Avionics and DIRECTV experience who functions as a software integration focal point, owning system-level QA from requirements and ATP verification through regression and release readiness. Brings rigorous, compliance-driven testing (FAA/ISO) plus strong RCA skills, including reproducing critical UI freezes under high memory conditions and supplying logs/memory dumps to drive engineering fixes.”