Akshay Dhotre

Staff AI Engineer with over 9 years of experience building production machine learning and generative AI systems. Currently focused on building reliable agentic workflows and LLM architectures. My technical approach prioritizes direct, straightforward implementation over high-level abstractions. I focus on building RAG pipelines and autonomous workflows that are performant, explainable, and strictly grounded in practical utility. Technical Focus: Agentic Systems: Designing practical autonomous workflows for complex task execution. LLM Infrastructure: Developing reliable RAG pipelines, fine-tuning models, and optimizing local inference. End-to-End Engineering: Managing the full lifecycle from architectural design and modeling to deployment and monitoring. In my spare time, I build local AI tools to test new engineering patterns—ranging from personal LLM wikis like Akshaya-Kosha to open-source utilities like OverBuild Detector. Current Interests: Applied Generative AI & Agentic Workflows ML Systems Engineering & MLOps Local LLM Inference & Optimization 📌 GitHub: https://github.com/akshayDhotre Always open to technical discussions on building practical AI systems.