Hire Dhanush - Fine-Tuning Engineer

About dhanush

I am an AI Engineer specializing in LLM fine-tuning, multi-agent orchestration, advanced retrieval architectures, and automated machine learning infrastructure.My primary focus is moving artificial intelligence out of experimental sandboxes and transforming them into stable, self-evolving enterprise software systems designed to survive real-world data environments.Through high-impact enterprise roles and specialized freelance consulting, I architect and deploy production-grade AI systems tailored for scalable automation: * Fine-Tuning & Domain Alignment: Orchestrating continuous supervised fine-tuning (SFT) and alignment workflows to bake domain-specific safety thresholds, company policies, and evolving contextual nuances directly into model weights. * Agentic Systems, Orchestration & Protocols: Designing advanced multi-agent workflows integrated with Model Context Protocol (MCP) servers and agent-to-agent communication networks that empower autonomous tasks to reason, utilize external tools, and self-correct safely at scale. * Advanced Information Retrieval: Scaling high-precision data ingestion pipelines and intelligent search engines to eliminate model hallucinations and deliver real-time, context-aware analytics. * Closed-Loop ML Infrastructure: Engineering self-healing, data-driven platforms that actively monitor live production data drift, orchestrate automated ground-truth labeling feedback loops, and enforce continuous fine-tuning cycles via strict automated validation firewalls.I build with a core engineering philosophy: an AI model is only as good as the automated data pipeline supporting it. I design systems that actively watch their own performance, adapt dynamically to shifting user behaviors, and ensure zero-downtime microservice rollouts. Always happy to connect and collaborate with engineers, founders, and teams building resilient, automated AI infrastructure or looking to deploy reliable enterprise AI automation. Let's connect!

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