Satya . — AI Researcher

I am currently working on production-grade AI systems that are reliable, scalable, and grounded in strong data foundations. My background spans enterprise data platforms and modern AI engineering — from distributed data ecosystems to Retrieval-Augmented Generation (RAG) systems and end-to-end ML deployment. I’ve worked in large-scale environments using Hive and Hadoop to design robust data pipelines that power analytics and AI-driven applications. Over the past few years, my focus has evolved toward applied AI systems, specifically: • Designing and deploying end-to-end ML systems. • Building RAG-based and agentic applications • Engineering scalable systems I’m particularly interested in system reliability and performance — optimizing retrieval pipelines, improving inference behavior (temperature control, embeddings, reranking), and building architectures that balance accuracy, latency, and cost. What drives me is solving complex, ambiguous problems and turning them into structured, production-ready systems. Outside of work, I continuously build side projects and deepen my understanding of how data, infrastructure, and AI converge in real-world products. If you're building scalable AI systems, data platforms, or cloud-native architectures, I’m always open to connecting and exchanging ideas.

Stackforce AI infers this person is a Data Science and AI Engineering expert in scalable systems.

Location: Bangalore Urban, Karnataka, India

Experience: 7 yrs 1 mo