Darshan Linge Gowda

I’m an AI/ML engineer building agentic systems and LLM infrastructure that ship to production reliably. I’ve delivered production deployments at scale, including ML automation across 80 BMW service centres in Germany and multi-agent systems running on GCP with real users.

Across four years of enterprise engineering, I bring the reliability discipline that bridges R&D to production. At PICA GmbH, I owned end-to-end deployment for an ML-driven automation workflow, improving accuracy by 80% over a manual baseline, and built automated anomaly detection pipelines that reduced incident response time by ~60% across healthcare, mobility, and industrial domains.

I’m equally focused on evaluation and operations: I built an LLM evaluation framework scoring 0.96/1.0 and integrated observability for production incident analysis using Datadog + Vertex AI on Cloud Run. I’m open to US remote work where I can apply my LLMOps, orchestration, and production engineering mindset to systems that need measurable quality and dependable runtime behavior.