I'm a technical operator and operations leader who turns complex, ambiguous problems into reliable systems, clear decisions, and shipped outcomes. I run large-scale crypto-mining operations day to day, build the automation and monitoring that keeps them reliable, and work directly with leadership on strategy, growth, and execution. Crypto-native since 2018; eight years prior as a licensed Series 3 Futures & Options Merchant and Risk Manager.

• Current: Operations Manager at a large-scale ASIC mining operation — 2,000+ units across 4+ sites at ~98% uptime, 20+ client stakeholders — owning day-to-day operations, onsite leadership, and the executive materials (pitch decks, strategic plans) behind growth and investment decisions.
• What I do best: I sit at the intersection of infrastructure reliability, onchain operations, and secure automation — monitoring node and fleet health, hardening wallet pipelines, analyzing API/security signals, and building AI-assisted tooling that removes manual work.
• Built & operate: Hermes — a multi-agent AI ops agent that monitors fleets and BTC/Monero nodes, fires Telegram alerts on failures and thresholds, runs ASIC configuration tasks, and helps maintain runbooks (private/operational).
• Background: Regulated environments (CFTC/NFA) · crypto-native since 2018 (nodes, DeFi, wallet ops) · operations leadership across mining, logistics (COO), real estate, and affordable housing.

• Infra / Ops: Linux (Debian/RHEL/Arch), Windows Server, networking (TCP/IP, DNS, DHCP, firewalls), hardware diagnostics, thermal management
• Automation: Bash/Python scripting, PowerShell, AI-assisted ops automation, log analysis, structured alerting
• Monitoring / Observability: Prometheus, Grafana, Docker, systemd, metrics-driven troubleshooting
• Support / Incident: Zendesk / NetSuite / Jira, remote support, incident updates, status reporting, runbooks/SOPs
• API: Postman, cURL, REST, authentication, headers, JSON payloads, HTTP status codes, webhook testing
• Security (operator context): firewall + IDS/IPS concepts, 2FA, secure troubleshooting workflows, API security fundamentals, customer-data handling
• AI / LLM Security: prompt injection, OWASP LLM/API risks, RAG/tool-use risk awareness, secure AI-assisted workflows
• Operations & Leadership: operations management, strategic planning, stakeholder management, executive operations, deal packaging, cross-functional leadership

I'm building practical depth in AI/LLM security from an operator's perspective: how AI systems fail in real workflows, how teams safely use LLMs, and how automation can improve triage without leaking secrets or taking unsafe actions.

• LLM application security: prompt injection, insecure output handling, data leakage, tool/plugin abuse, excessive agency
• API security: authentication, authorization, rate limits, webhooks, input validation, OWASP API risks
• Automation safety: human-in-the-loop workflows, audit logs, escalation boundaries, safe customer-data handling
• Web3 + AI risk: wallet monitoring, transaction alerting, suspicious-address screening, AI-assisted triage for onchain incidents
• Operational AI tooling: using LLMs to summarize incidents, draft runbooks, enrich tickets, and accelerate root-cause analysis

Production-style observability stack for Bitcoin/Monero node uptime, peer connectivity, and infrastructure health.

• Tech: Prometheus, Grafana, Docker, systemd, Linux
• Use case: Real-time node-health visibility, faster detection of connectivity issues, and clearer escalation data for SRE/support workflows

Multi-chain wallet monitoring tool with OFAC screening, structured JSON alert logs, and AI-assisted incident triage potential.

• Tech: Python, PyYAML, Etherscan API, Blockstream API
• Use case: Detect large outflows, flag sanctioned-address interactions, and produce structured alerts that feed ticketing, SIEM, or LLM-assisted incident summaries

Python/Bash scripts for monitoring ASIC miner health, pool connectivity, and thermal status.

• Tech: Python, Bash, JSON-RPC
• Use case: Standardize daily fleet checks, detect degraded miners faster, and reduce manual diagnosis time at scale

Commerce-focused escrow MVP on Base Sepolia for marketplace and milestone payments.

• Tech: Python, Solidity / smart-contract tooling, Base Sepolia, Chainlink CRE
• Use case: Payment escrow, dispute events, external resolution workflows, and transparent settlement logic
• Status: Work in progress (testnet only)

Field-ready CLI / DevOps / Web3 cheatsheets for SRE and blockchain work.

• AI-assisted ops workflows for ticket triage, incident summaries, and runbook generation
• LLM security labs focused on prompt injection, data leakage, unsafe tool use, and API abuse patterns
• API troubleshooting workflows using Postman, cURL, structured logs, and webhook testing
• Web3 monitoring tools for wallet activity, node health, and suspicious onchain behavior
• Operations-first SRE habits: observability, alert quality, escalation clarity, incident documentation, and automation-first operations

• Email: cryptoaijedi@proton.me
• GitHub: github.com/CryptoAI-Jedi