Vetted Claude Professionals

“IT Analyst/research background with hands-on experience deploying and hardening a multi-agent AI support/triage system (ticket ingestion + knowledge-base retrieval) with strong emphasis on reliability and observability. Has debugged real production issues spanning backend services and network latency (sync failures/partial writes) and is comfortable in Linux environments; also has academic exposure to robotics simulation and ROS2.”

“Frontend engineer who led end-to-end builds for chauffeur/service platforms (Mychauffeur.com, comfydrive.com), implementing Atomic Design architecture with Next.js, MUI, and Redux. Experienced in building React+TypeScript dashboards, improving performance via SSR migration, and shipping high-risk features like MADA payment integration with Cypress-based QA and Sentry monitoring.”

“ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.”

“Serial entrepreneur with 30+ years of professional software engineering experience who co-founded Food Truck Stars, initially a food-truck search engine and later pivoted into a catering marketplace to overcome adoption barriers. Validated the model by prototyping at car enthusiast events across the U.S. and turning a profit, using hands-on customer discovery with low-tech, time-constrained operators.”

“Unity developer with hands-on Meta Quest SDK experience (tested on Quest 2) who built a first-person game framework from scratch and later converted it into a hybrid VR + keyboard/mouse project with interaction systems (pickups, weapons, customization). Uses AI tools selectively to unblock tough engineering issues, including resolving Unity WebGL cached-data reset problems for a current employer.”

“LLM/agentic AI builder who deployed a production ITSM automation agent on Google ADK integrating ServiceNow and FreshService, with strong safety guardrails (human-approval gating and runbook-only command execution) and rigorous evaluation (500 synthetic tickets; 80%+ false-positive reduction). Also partnered with finance to deliver an AI agent that automated invoice/SOW retrieval and monthly reporting to account managers, reducing manual back-and-forth.”

“Built and deployed a production-grade, multi-agent Text-to-SQL assistant that lets non-technical stakeholders query large enterprise databases in natural language. Uses Pinecone-based schema retrieval + LLM reasoning (Gemini/Claude/GPT) with a dedicated validation agent (schema/syntax checks and safe dry runs) to reduce hallucinations and improve reliability, while optimizing latency and cost via async execution and embedding caching.”

“Unity developer with hands-on Meta Quest VR experience across two distinct domains: an ASD-focused therapeutic experience (shopping scenario and calming room) and an escape-room game designed to train students’ soft skills. Also customized a Scrabble-style word game plugin with multilingual support and English dictionary selection, and leverages Claude Code/Copilot to implement and debug unfamiliar networking features.”

“Software engineer with enterprise CPQ/CRM/ERP integration experience (Argano) who owned an end-to-end pricing preview capability deployed on AWS Kubernetes with Jenkins CI/CD and full observability (Prometheus/Grafana). Also built an AI-native research agent using LangChain + Chroma to filter academic papers, reporting ~15 hours/week saved for a professor.”

“Performance marketer focused on scaling DTC ecommerce, with hands-on ownership of a ~$200K/month Meta/Google/TikTok program for a low-8-figure fashion brand. Took the account in-house from a long-tenured agency, rebuilt the structure and creative testing system, and reached a 3.5 ROAS target within two months while driving record Q4 results. Prefers contract/project-based work but is open to full-time for $165K+ with high-growth scaling challenges.”

“Built and shipped production AI search and RAG features for a university portal, including an embeddings-based semantic search layer and a documentation-grounded assistant with citations and anti-hallucination prompting. Also developed scalable, reliable data pipelines integrating Google Ads/GA4/Meta APIs for automated reporting, with strong focus on evaluation loops and retrieval quality improvements (hybrid search, chunking, query-log driven iteration).”

“Built and deployed a production RAG-based LLM assistant that answers day-to-day operational questions from internal PDFs/SOPs, with strong emphasis on data consistency (metadata versioning, confidence thresholds, conflict handling) and low-latency retrieval at scale. Experienced designing and orchestrating multi-agent LLM workflows (retrieval/validation/generation) and pipeline orchestration for ingestion/embedding/vector-store updates, plus iterative delivery with non-technical operations/business stakeholders.”

“Backend engineer who owned the API layer for an AI trust/analytics dashboard (trust scores, stability checks, public verification endpoints) using Python/FastAPI and Postgres. Has hands-on DevOps experience deploying FastAPI and Node.js services to AWS Kubernetes with GitHub Actions + ArgoCD GitOps, plus Kafka-based real-time event streaming and careful staged migration practices (shadow traffic/dual writes, rollback planning).”

“LLM/agent systems builder who deployed a production hybrid router for immerso.ai that dynamically selects retrieval vs reasoning vs generative pathways, achieving an 82% factual-accuracy lift. Deep hands-on experience optimizing local Mistral 7B inference (4–5 bit GGUF quantization, KV-cache reuse) and building reliable RAG/agent workflows with LangChain/LangGraph/AutoGen across GCP Cloud Run and AWS (ECS/Lambda).”