Vetted JSON Professionals

“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”

“Built and deployed an LLM-powered clinical decision support and risk monitoring platform for mental health at Valuai.io, emphasizing low-latency, evidence-grounded responses and crisis-safe behavior with clinician escalation. Strong production agent-orchestration background (LangChain/CrewAI) plus rigorous evaluation (clinician-in-the-loop + evaluator agent) and large-scale synthetic testing; also applied multi-agent workflows to document verification and fraud detection during an AI internship at Nixacom.”

“AI/back-end engineer at Canon who helped build and operate an internal production LLM platform that acts as a secure middle layer between users and models, defending against jailbreaks/prompt injection while enabling RAG, memory, and grounded responses over company data. Experienced with LangChain/LangGraph orchestration, vector DB retrieval, and reliability practices (testing, monitoring, adversarial prompts) to run high-throughput, low-latency AI workflows in production.”

“LLM/AI engineer who has deployed production RAG conversational analytics and Text-to-SQL systems over Snowflake and curated data marts, emphasizing enterprise-grade guardrails for accuracy, security, and cost. Notable for a structured approach to reducing hallucinations (curated metric/table registry, SQL validation, RBAC, and citation-backed responses) and for building resilient, observable multi-step agent workflows using LangChain/LlamaIndex and Airflow.”

“Unity developer who has shipped VR games on Meta Quest/Oculus Go and demonstrates strong performance engineering for constrained hardware (multithreading, Unity Job System, Jump Point Search). Has built multiple games largely solo (e.g., Tap & Conquer), handling UI/flow, core gameplay, and save systems, and uses AI to speed up build/test/backup automation via shell scripting.”

“Built and owned an end-to-end Python/Postgres job-tracker backend that scrapes job postings (including LinkedIn) using Selenium-driven real-browser automation, with deduplication and data-quality filtering. Has practical experience migrating deployments from DigitalOcean to Vercel and emphasizes documentation, roadmapping, and testing as part of an iterative delivery cycle.”