Llm fine tuning
Set up infrastructure for fine-tuning LLMs with QLoRA, LoRA, and full fine-tuning using Hugging Face TRL, Axolotl, and distributed training with DeepSpeed or FSDP.
Skills for your AI
Set up infrastructure for fine-tuning LLMs with QLoRA, LoRA, and full fine-tuning using Hugging Face TRL, Axolotl, and distributed training with DeepSpeed or FSDP.
Deploy an API gateway for LLM traffic with load balancing, rate limiting, key management, semantic caching, fallback routing, and cost tracking.
Auto-scale LLM inference clusters on Kubernetes using KEDA, custom GPU metrics, and horizontal pod autoscaling.
Build production LLMOps platforms with CI/CD, model promotion workflows, evaluation gates, rollback, and governance across cloud and self-hosted inference.
Configure load balancers and traffic distribution. Implement health checks and SSL termination. Use when distributing traffic across servers.
Configure Grafana Loki for log aggregation and analysis.
Microsoft 365 / Entra ID red-team attack chain
Configure a Mac mini as a reliable local LLM server with remote access, observability, and power-safe operation. Use when building an always-on private AI inference server on Apple Silicon.
Secure Model Context Protocol (MCP) servers with transport encryption, tool authorization, input validation, and audit logging for safe AI agent integrations.
Manage and secure company devices with MDM solutions
Meme coin and token security audit
Methodology for detecting client SOC patches, attacker activity, and security-state changes that occur DURING a red-team engagement
Establish model registry standards, governance controls, metadata schemas, approvals, and lifecycle policies for enterprise AI deployments.
Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server.
Secure the AI model supply chain with artifact signing, provenance attestation, SBOM workflows, dependency controls, and trusted model promotion.
Administer MongoDB databases. Configure replica sets, sharding, and backups. Use when managing MongoDB deployments.
Design secure, multi-tenant LLM hosting platforms with tenant isolation, quotas, billing attribution, noisy-neighbor protection, and per-tenant policy controls.
Administer MySQL/MariaDB databases. Configure replication and optimize performance. Use when managing MySQL deployments.
Configure New Relic observability platform for infrastructure and application monitoring.
Configure NFS servers and clients. Implement network file sharing for Linux systems. Use when setting up shared storage.
Configure object storage with S3, GCS, and MinIO. Implement lifecycle policies and access controls. Use when managing object storage.
Operational arsenal for authorized external red-team and bug-bounty recon.
Okta-as-IdP red-team attack chain
Run local LLM workloads with Ollama, Open WebUI, and GPU-aware tuning for private development environments.