Designing and deploying AI agents on GCP and Azure — from document review to autonomous gap trading.
Upload a contract or policy PDF — agent retrieves relevant legal rules from a knowledge base, flags red flags, missing clauses, and risks. Same code runs on GCP or Azure via a single config switch.
Describe your system architecture in JSON — five specialist agents (security, scalability, cost, compliance, supervisor) each review it independently, then synthesize a scored report with priorities.
Recruiter workflow — save job profiles, upload resumes, get structured screening reports with match score, skill gaps, strengths, and hire recommendation. Gemini native SDK, no LangChain.
Paste a job description and resume — generates a tailored interview kit with targeted technical questions, behavioral probes, and red flags specific to that candidate's gaps. Chains with resume-screener for deeper targeting.
Two-agent system running daily on market open. Phase 1 scans 50 stocks with rule-based filters at 9:45 AM. Phase 2 agent reasons about each candidate at 10:00 AM — deciding BUY or SKIP with full explanation saved to BigQuery. Results tracked and compared nightly.