Architecting fault-tolerant, horizontally scaled control planes. My engineering focus bridges the mathematical reality of Machine Learning Operations (MLOps) with the financial rigor of distributed B2B systems. I transition localized, thermal-bound compute models into verifiable, globally routable production environments.
- Orchestration & DevOps: Kubernetes (K3s), Docker, GitHub Actions (CI/CD)
- State & Telemetry: PostgreSQL (Asyncpg), Redis (Lua Pipelines), Prometheus, Grafana
- Inference & ML: PyTorch, Hugging Face Ecosystem, PEFT (LoRA), RLHF (PPO)
- Routing & Client: FastAPI, Next.js, TypeScript
System: Enterprise Edge Cluster (Distributed B2B LLMOps)
- Architecture: Kubernetes (K3s) Control Plane with Merchant of Record (MoR) Perimeter.
- Implementation: Orchestrated a fault-tolerant edge node serving headless inference matrices. Engineered a trans-continental financial perimeter using asynchronous Redis token buckets and PostgreSQL ledgers to strictly decouple stateless routing from stateful billing. Automated the trans-continental deployment matrix using GitHub Actions CI/CD with ephemeral openAPI syntax auditing.
- Telemetry: Declarative observability matrix deployed via Prometheus and Grafana to mathematically prove sub-millisecond B2B routing latency.
System: Generative AI Optimization & Alignment (FLAN-T5)
- Architecture: Parameter-Efficient Fine-Tuning & Reinforcement Learning pipeline.
- Implementation: Applied LoRA adapters to freeze 98.6% of parameters, radically reducing GPU VRAM overhead. Engineered an RLHF pipeline using Proximal Policy Optimization (PPO) and Meta's RoBERTa to mathematically detoxify model outputs while controlling model drift via KL-divergence penalties.
System: Fitnest Infrastructure
- Architecture: Containerized Microservices Topology.
- Implementation: Next.js client communicating with a strictly typed FastAPI backend. Engineered real-time WebSocket (wss) routing and automated PostgreSQL schema normalization.
- Status: Actively deployed via Render.
Engineering scale requires distributed communication. I document system designs, debugging protocols, and architectural decisions asynchronously.
- [LinkedIn] - Professional network and enterprise opportunity pipeline.
- [X] - Real-time technical commentary, architectural transitions, and system telemetry.
- [YouTube Shorts / TikTok / Instagram] - Condensed technical broadcasts and visual documentation of the DevOps lifecycle.
Actively preparing for rigorous software engineering research environments and analyzing distributed system bottlenecks. Seeking global integration challenges that demand strict adherence to algorithmic efficiency, CI/CD automation, and scalable backend design on constrained edge silicon.
