Senior AI Solutions Engineer
I build and ship AI systems that actually work in production — fine-tuning models, running GPU infrastructure, designing agentic architectures, and obsessing over how to measure whether any of it is doing what we think it is.
Current focus areas at Seekr and beyond
Adapting foundation models for domain-specific tasks — from data curation to PEFT/LoRA and instruction alignment.
Designing secure, air-gapped AI deployments on hardened GPU clusters for compliance-sensitive environments.
Building autonomous, self-improving agent systems — measuring tool use, explainability, and real-world performance.
Optimizing inference at scale with vLLM and KServe in cloud-native Kubernetes environments.
Crafting repeatable, auditable infrastructure with Terraform and Helm — from GPU nodes to full platform stacks.
Shipping side projects with Vue and React on Vercel — because the best way to stay sharp is to keep building.