Lead ML/AI Engineer | Agentic Workflows, Document Intelligence, Agent Systems, Post-Training/RL, Speech Analytics, LLM Infrastructure & MLOps
I'm a Lead ML/AI Engineer with 8+ years of experience building and shipping production AI systems across defense, healthcare, and enterprise software, including work connected to classified DoD programs and HIPAA-regulated environments.
My work focuses on turning complex, messy real-world data — documents, speech, images, operational logs, and enterprise records — into structured, reliable intelligence for LLM and decision-support systems. I'm an expert in agentic workflows: designing, orchestrating, and evaluating multi-agent systems that plan, call tools, and hand off work reliably in production. I also specialize in document intelligence, post-training/RL, speech analytics, computer vision, LLM infrastructure, and MLOps.
I've built OCR/layout pipelines, VLM extraction systems, RAG and agentic workflows, speech/NLP analytics, model evaluation harnesses, high-throughput inference systems, and cloud-native ML infrastructure. My technical toolkit includes multi-agent orchestration, LLM routing, SFT/DPO/GRPO workflows, RL environment curation, benchmark development, GPU inference, vLLM, TensorRT-LLM, SGLang, distributed training/inference, and production evaluation pipelines.
I'm drawn to AI systems where quality depends on more than choosing the right model: strong data curation, rigorous evaluation, reliable infrastructure, thoughtful post-training loops, and product judgment that turns model outputs into real-world value.
Lead ML/AI Engineer · Remote / United States