Vetted Schema Design Professionals

Gabe Hoing

Screened

Intern-level software engineer specializing in full-stack and data systems

Spokane, WA2y exp

“Built an AI agent management system in a senior design project to support cybersecurity analysts with gathering and triaging emerging threat intelligence from sources like CISA. Stands out for a thoughtful, production-minded approach to AI development, using specialized agents, strict output schemas, and deterministic controls to manage failure cases.”

“Full-stack product engineer who has shipped AI-powered job board moderation and validation features end to end across React/TypeScript, serverless backends, and Postgres. Stands out for combining UX polish, LLM-backed workflow design, and reusable async infrastructure patterns to improve reliability, speed of delivery, and user participation.”

Toufiq Hasan

Screened

Entry-level Software Engineer specializing in backend and AI integration

New York, NY1y exp

“Built and shipped an LLM-powered crypto price tracking and alert agent in a web environment that scaled to roughly 10,000 users. The candidate emphasizes production reliability, structured outputs, and data normalization, and cites strong product impact including retention growth from 35% to 65% and roughly 95% positive user validation on alert interpretations.”

Mohammad Khaja Faizan

Screened

Junior Backend Software Engineer specializing in API-driven systems

Corpus Christi, TX2y exp

“Backend engineer focused on Python/FastAPI who has designed and evolved an API-driven platform with an emphasis on clean contracts, data integrity, and scalable service boundaries. Demonstrated production-minded reliability work by addressing partial writes/retry failure modes with idempotency and validation, eliminating duplicate/corrupted records, and has implemented layered security including Supabase-managed auth, RBAC, and row-level security.”

Jason Burleigh

Screened

Senior Solutions & Systems Integration Engineer specializing in API automation and operational platforms

Los Angeles, CA11y exp

“Customer-facing LLM/agent workflow specialist who repeatedly takes unstable prototypes to production by enforcing strict I/O contracts, validation/guardrails, and reliability patterns (logging, retries, timeouts, monitoring). Strong in real-time troubleshooting using logs and payload inspection, and known for live demos/workshops that teach teams to self-debug. Partners closely with sales by building POCs in customer environments to unblock trials and drive faster deal closure and adoption.”

“Hands-on automation and QA-focused developer using AI agents, MCP tools, and LLMs to streamline business workflows. Built agents for automated Jira bug logging, executive summary dashboards, and a rule-explainer that translates technical business rules into plain language for end users, while also supporting Selenium-to-Playwright migration and guiding peers on AI implementation.”

“Built and shipped a production LLM-powered document processing agent (ingestion→OCR→LLM extraction/classification→validation→DB/workflow triggers) using Kafka and PostgreSQL. Emphasizes production reliability with strict JSON schemas, idempotent services, retries/backoff, fallback models, and human-in-the-loop review—driving ~90% automation, minutes-to-seconds processing, and ~10x throughput.”

Muhammad Midhat

Screened

Senior Full-Stack/Backend Engineer specializing in APIs, distributed systems, and AI integrations

9y exp

“AI/backend engineer who has built and scaled production LLM-powered SaaS features (document assistant + compliance review agent) on a Node.js/TypeScript + Postgres/Redis stack deployed to GCP Kubernetes. Demonstrates strong production reliability chops—async queueing, autoscaling, observability, and database tuning—with quantified wins (p95 latency -60%, query 4s to <200ms) and robust AI guardrails (strict RAG, schema validation, citations, HITL).”

“AI engineer with hands-on experience shipping production systems across semantic search, RAG/LLM applications, and computer vision. Built a personalized e-commerce search platform with measurable relevance and latency gains, and deployed grounded GenAI chat systems that significantly reduced hallucinations while lowering support burden. Also brings edge-deployment experience in monocular depth estimation and 3D reconstruction, suggesting strong breadth across modern applied AI.”

“Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.”