siddhartha

Siddhartha Bhat@siddhartha

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2+ years of experience

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Nevil Shah

I am a Senior AI and MLOps Engineer with six years of experience building production-grade AI systems across large language models, computer vision, and deep learning. My work spans LLM platforms, RAG systems, and GPU-backed inference infrastructure, as well as vision models deployed under real-world constraints. My work focuses on taking AI systems from research and experimentation to reliable, scalable production. I work extensively on optimizing latency, infrastructure cost, and hallucination risk under real-world traffic, and on making deep learning models robust enough for continuous operation in production environments. I enjoy solving the unglamorous but critical problems that make AI systems actually usable. I have designed and deployed end-to-end AI pipelines across startups and enterprise environments, including computer vision and deep learning workflows, LLM evaluation frameworks, retrieval and reranking systems, inference serving stacks, and autoscaling infrastructure. I care deeply about maintainability, observability, and operating AI systems that remain stable at scale. On lablab.ai, I am interested in collaborating on practical AI projects, especially around agentic systems, evaluation, safety, computer vision, and AI infrastructure that bridges research and real-world constraints.

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Balaji Kartheek Thiruveedhula

I have hands-on experience building AI systems using LLMs, retrieval-augmented generation (RAG), and vector databases to solve real engineering and QA problems. I’ve designed and deployed cloud-hosted AI applications with structured evaluation, regression testing, and explainability in mind. My work focuses on moving beyond demos to reliable, production-ready AI workflows.

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