Building production-grade LLM platforms & multi-agent systems @ Verizon
I'm a Senior AI/ML Engineer specializing in Agentic AI, GenAI, and LLMOps at Verizon. I architect and ship production-scale multi-agent systems, LLM evaluation pipelines, and RAG platforms that handle real enterprise workloads — not just demos.
🎯 What sets me apart: I bridge the gap between cutting-edge AI research and reliable, observable, production systems.
🧠 AI / ML
🤖 Agentic AI & LLM Frameworks
☁️ Cloud Platforms
⚙️ MLOps & Pipelines
🛠️ Infrastructure & DevOps
Domain What I Deliver 🤖 Multi-Agent Systems Production orchestration with LangGraph & ADK, agent memory, tool-use, MCP integrations 📊 LLMOps & Evaluation Evaluation harnesses, observability pipelines, prompt versioning, CI/CD for LLMs 🔍 RAG Architectures Production vector search, retrieval evaluation, grounding, and hallucination reduction ⚙️ ML Pipelines End-to-end pipelines with Airflow & Kubeflow, feature stores, model versioning with DVC & MLflow ☁️ ML Platform Engineering Scalable model serving on GKE/Cloud Run, Vertex AI pipelines, experiment tracking
Project What It Does Impact 🤖 agent-sandbox LLM multi-agent orchestration experiments with LangGraph & MCP Agentic AI · LangGraph 🧠 pytorch-DL Deep learning from scratch: CNNs, ResNet, Transfer Learning PyTorch · Computer Vision 📈 mlflow Production MLflow server with auth & cloud secrets on GCP MLOps · Docker · GCP ☸️ k8s Kubernetes deployment of a live ML-powered Streamlit app K8s · GKE · MLOps
💼 I'm open to Senior AI/ML Engineer, Staff ML Engineer, and AI Platform Lead roles.
Reach me on LinkedIn — always happy to talk AI, agents, and LLMOps.
