AI & ML interests
At EnDevSols, we focus on applied AI engineering, bridging the gap between experimental models and robust production systems. Our core interests lie in architecting hallucination-resistant Retrieval-Augmented Generation (RAG) pipelines, orchestrating autonomous multi-agent workflows, and fine-tuning specialized Small Language Models (SLMs) for secure, cloud-avoidant enterprise environments. We actively develop open-source infrastructure to optimize LLM training, advanced document parsing, and agent observability.
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