Banning, California, United States
I build secure AI and automation that ships. Twenty years across infrastructure, software, and security. Former Admin at U.S. Tech Works where we delivered AI SaaS for cities and small businesses. Earlier, led security testing and AI strategy in enterprise settings. Founder of The Institute, a nonprofit that helps schools and nonprofits adopt modern tech. Studying Robotics and Psychology at UC Riverside to push human-centered AI. Strengths: Python, ML, cloud, MLOps, product delivery, security. Open to IC roles in AI product, implementation, solutions, operations, automation, or technical program work.
Hands-on IC work building AI-driven utilities for city and SMB workflows. Built a FastAPI service that ingests PDFs and forms, runs OCR and LLM extraction, normalizes fields, and upserts to Postgres. Idempotent writes, audit tables, and retry logic. Implemented a doc Q&A workflow using embeddings and vector search. Chunked by tokens, stored metadata for access control, prompt templates with versioning, and a small evaluation set to track accuracy. Automated monthly CSV imports with Pandas. Staged in S3, validated with basic schema checks, scheduled on ECS Fargate, and alerted via CloudWatch and Slack webhook. Added OAuth2 with JWT and role-based permissions in FastAPI. Password policy, session expiry, and request logging with correlation IDs. Containerized services with Docker. CI in GitHub Actions running pytest, black, and bandit before deploy. Provisioned infra with Terraform. RDS Postgres, S3 lifecycle policies, CloudWatch alarms, and log retention. Tech: Python, FastAPI, Pandas, Pydantic, Postgres, SQLAlchemy, Docker, AWS ECS, S3, RDS, CloudWatch, Terraform, GitHub Actions, OpenAI API, FAISS or pgvector.
Security-focused IC who prototypes practical AI features. Ran web app assessments with OWASP ZAP and Burp Suite. Filed Jira tickets with evidence and repro steps. Closed high and medium findings on a defined SLA. Implemented SPF, DKIM, and DMARC with reporting. Reduced spoofed email incidents. Wrote boto3 and CLI scripts to flag public S3 ACLs and weak IAM policies. Scheduled scans and produced CSV reports for review. Stood up Prometheus and Grafana to track API latency and error rates. Wrote on-call runbooks and basic SLOs. Built an internal policy Q&A using embeddings and retrieval. Logged prompts, responses, and feedback to a SQLite table for weekly review. Hardened Windows and Linux baselines using Ansible and PowerShell DSC where appropriate. Tech: Python, Bash, PowerShell, OWASP ZAP, Burp Suite, AWS IAM, S3, CloudTrail, boto3, Prometheus, Grafana, Nginx, SQLite, OpenAI API, LangChain or LlamaIndex, Jira, GitHub.
IC work across infra and data for construction workflows. Automated ingestion of Revit and IFC exports. Python watcher moves files to S3, extracts metadata, and tags by project. Built a Power BI dashboard for RFIs and change orders. DAX for cycle time, backlog, and per-project reporting. Deployed a Synology NAS with snapshots and S3 offsite backup. Documented restore drills. Migrated small Windows services into Docker on a Proxmox node. Reduced random downtime and simplified updates. Tech: Python, Power BI, DAX, Synology, Docker, Proxmox, AWS S3, Windows Server, IFC, ifcopenshell.