Aman is a data and GenAI professional focused on translating complex business problems into scalable, value-driven solutions. He brings strong expertise in data engineering, SQL, and cloud platforms, with hands-on experience in solutioning and architecture design. With a background in system engineering, he excels at bridging technical depth with business context. He is driven by building impactful analytics solutions that enable confident, data-backed decisions.
Moving AI from pilot to production requires more than a working model. Discover the five capabilities enterprises need to build reliable, scalable and valuable AI systems.
The AI Scaling Framework for Production Read More »
Moving AI from pilot to production requires more than a working model. Learn how trusted data, responsible AI, evaluation, operations and reusable capabilities help enterprises scale AI with confidence.
Production Readiness for Enterprise AI Read More »
Learn how to optimize AI token usage through model selection, context management, caching and observability while protecting quality, reliability and business value.
Engineering AI Token Optimization Read More »
Fractional AI introduces a new architectural paradigm where intelligence is decomposed into small, specialized “fractions” that handle tasks with precision, speed, and governance. Instead of relying on monolithic models for every operation, enterprises can orchestrate interoperable AI components, GenAI reasoning, and agentic workflows to deliver scalable, high-performance automation. This approach enables predictable behavior, reduces hallucinations, accelerates deployment cycles, and provides a reusable capability layer across business units.
Fractional AI and the Future of Enterprise GenAI Systems Read More »