Vetted Artificial Intelligence Professionals

“Robotics engineer who built and scaled a distributed perception stack on a Unitree Go1 quadruped, coordinating 5 Jetson Nanos and a Raspberry Pi to capture, aggregate, and stream multi-camera video in real time via UDP/GStreamer and custom ROS nodes. Also implemented a YOLOv9-based detection pipeline enhanced with Grad-CAM-driven selective image enhancement (e.g., MIRNet/UFormer) to improve real-time detections and robot reactions to visual stimuli.”

“Built and shipped a production LLM-powered decision system that replaced a slow, inconsistent manual review process by turning messy text into structured, auditable outputs behind an API. Demonstrates strong end-to-end ownership of reliability and operations (schema validation, retries/fallbacks, latency/cost controls, monitoring for drift) and a disciplined approach to evaluation and regression testing. Experienced collaborating with non-technical reviewers to define success criteria and deliver interpretable outputs that get adopted.”

“Software engineer with a graphic design/marketing background who led a 4-month U.S. Department of State Diplomacy Lab project delivering a proprietary React/Electron + Flask + PostgreSQL scheduling app, including OKTA SSO integration under strict government confidentiality constraints. Also has hands-on production web experience fixing a broken WordPress/Elementor content system by scripting automated recategorization and date corrections.”

“AI/ML engineer with production experience building an enterprise network-fault prediction assistant that combines anomaly detection (Isolation Forest + LSTM) with an LLM layer for incident diagnosis and recommended resolutions. Hands-on with orchestration (Airflow, Prefect, Dagster) to run ETL/ELT and automated training/fine-tuning workflows, and has delivered AI solutions with non-technical stakeholders (retail customer support ticket categorization/response suggestions).”

“Robotics software engineer who built an autonomous debris-clearing rover software stack end-to-end using ROS 2, Python/OpenCV, and YOLOv3, with strong emphasis on real-time reliability (latency instrumentation, stale-data handling, watchdog fail-safes). Also implemented a Docker CI/CD deployment system for remote Raspberry Pi timelapse devices, distributing updates via AWS S3 to handle intermittent connectivity.”

“Backend engineer with experience stabilizing data processing/analytics pipelines and refactoring brittle backend APIs. Has hands-on FastAPI work emphasizing strong validation (Pydantic), clear layering, and secure JWT-based auth with role/row-level controls, plus pragmatic migration tactics like parallel runs to protect data integrity.”

“Unity game developer with shipped mobile engagement features (daily missions + streaks) that improved D1/D3 retention and session length through analytics-driven iteration. Also built real-time multiplayer runner gameplay using Photon Fusion, implementing prediction, movement sync, and host-authoritative hit validation for fair play under latency.”

“Unity developer who improved the feel and usability of a text-heavy game by implementing satisfying UI scrolling and adding keyboard-based navigation, earning positive feedback from both the dev team and users. Also has professional client/server experience (REST) and contributed to a Unity industrial application for AI-managed smart-home/domotics control, leveraging Agile/Jira and AI coding assistants to boost delivery.”

“Unity game developer with hands-on experience improving platformer feel through playtest-driven movement tuning (e.g., coyote time) and building multiplayer features using Unity Netcode for GameObjects (authentication, lobbies, transport troubleshooting with UDP). Uses AI assistants pragmatically for repetitive code/architecture exploration while integrating changes manually to prevent regressions.”

“Frontend engineer who delivers quickly on high-stakes, client-driven projects—led a payment request frontend rewrite shipped in 1–2 weeks and implemented a pre-authorization management feature on a one-week deadline. Experienced in Vue + TypeScript (with React exposure) and in improving existing codebases by standardizing state management (Pinia), while also owning dev-led QA, deployments/rollbacks, and close collaboration with product/design via Figma.”

“Deployment engineer at a robotics startup who owned end-to-end field deployments in greenhouse environments, including integrating humanoid robots (XArm 6), tuning perception stacks for real-world lighting shifts, and coordinating rapid fixes with hardware/software teams. Experienced debugging complex robotics integrations (LiDAR + NVIDIA Jetson + ROS2 + networking) and hardening solutions by automating configuration at boot, while also working directly with customers and training operators for ongoing support.”

“Marketing/design creative with experience delivering high-polish brand and web work under complex conditions (including multiple acquisitions), driving measurable growth (2x traffic, +60% organic search, SEO gains across 50+ terms). Also designs product UI in Figma leveraging Material UI patterns and builds modular Instagram video templates in Adobe Premiere/After Effects for scalable content production.”

“Technology leader with experience driving multi-year transformations at Jewelry Supply, including migrating a legacy custom e-commerce platform to SaaS and leading a 3-year ERP program from requirements through implementation and training. Also led a major architecture shift from self-hosted virtualized infrastructure to cloud Kubernetes with a strong DevOps/DevEx focus, emphasizing stakeholder buy-in and scalable processes for distributed engineering teams.”

“Full-stack engineer with healthcare/AI platform experience (Humana), owning an end-to-end high-risk patient prediction feature from React dashboards through FastAPI/TensorFlow real-time inference to AWS EKS operations. Emphasizes production reliability and contract-driven APIs (OpenAPI + generated TS types), plus strong data integration patterns (Kafka, idempotency, DLQs, backfills) in regulated, high-traffic environments.”

“Full-stack engineer at an early-stage startup (AirKitchenz) who owned the hourly booking/availability and first paid booking flow end-to-end—React/TypeScript frontend, Node backend, Postgres modeling, and Stripe payments/webhooks. Experienced operating production on AWS (EC2/Elastic Beanstalk, Docker, RDS, CloudWatch) and building reliable, idempotent integrations while iterating quickly in a pre-PMF environment through direct host/renter feedback.”

“Robotics software builder who delivered an end-to-end gesture-controlled drone system using an ESP32+IMU stream and real-time ML inference mapped to Tello SDK commands. Drove reliability improvements by instrumenting the pipeline with timestamps/logging and matching training vs runtime preprocessing, reaching ~94% gesture classification accuracy; experienced with Docker/Compose for reproducible multi-service deployments.”

“Backend/data engineer with hands-on production experience building a real-time notification API on Flask/Celery/Postgres and scaling it on AWS with Docker, Redis queuing, and SQLAlchemy query optimization. Also delivered AWS serverless deployments (Lambda) using Terraform + GitHub Actions and built AWS Glue ETL pipelines from S3 to Redshift with CloudWatch monitoring and DataBrew data quality checks.”

“Built a fault-tolerant distributed IoT sensor network on Raspberry Pi using a token-ring protocol, implementing leader election, timeout-based failure detection, and dynamic reconfiguration when nodes drop mid-round. Focused on reliability and data integrity, including exactly-once processing semantics backed by a MySQL backend and socket-level instrumentation to debug real-time coordination issues.”

“New-grad backend engineer who built a real-time genome analysis pipeline, replacing a slow batch system with an event-driven distributed architecture in Python/Redis and a React progress dashboard. Reports ~6x improvement and cutting analysis time from days to hours with zero data loss under peak load, emphasizing reliability patterns like retries and idempotency plus API security (JWT/RBAC/HTTPS).”

“Backend/data engineer with hands-on production experience across Python/Flask microservices and AWS serverless/data platforms (Lambda, DynamoDB, S3, Glue/PySpark). Demonstrated strong reliability and operations mindset (JWT/RBAC, retries/timeouts/circuit breakers, CloudWatch/SNS alerting) and measurable performance wins (SQL report runtime cut from 10 minutes to 30 seconds). Seeking ~$150k base and cannot travel for onsite meetings for the next 5–6 months due to family medical constraints.”

“ML/computer-vision practitioner who shipped a CycleGAN-based bilingual handwriting translation demo (English↔Telugu) for low-resource scripts using unpaired datasets, focusing on preserving handwriting style and real-time deployment via Gradio. Also delivered a medical imaging pipeline by fine-tuning ResNet-50 and ViT-B/16 for pneumonia detection, emphasizing reproducibility, measurable evaluation, and stakeholder-friendly iteration.”

“Fractional CIO/founder-type operator at AHDX Inc, a hybrid-cloud/primary storage solutions startup with a compliance focus targeting healthcare; MVP has completed beta and the company has seed funding while pursuing additional investment. Has supported multiple startups (OmniHR, Combat Connect, 3BX) and cites tangible results tied to DoD/security, Medicare/Medicaid, and Air Force LMS contracts, positioning them as a hands-on "fixer" for early-stage technical strategy and architecture.”