Enterprise AI
LLM applications, agentic workflows, RAG, and the engineering discipline to take AI into production.
I’m Charu Makhijani. I build enterprise AI platforms and lead the teams that turn complex ideas into meaningful business outcomes.

Experience across
Brookfield · Capital One · UBS
State Street · JPMorgan Chase
Technology works best when sound engineering, clear strategy, and strong teams move together.
LLM applications, agentic workflows, RAG, and the engineering discipline to take AI into production.
Modern platforms with governance, quality, lineage, and observability built into the architecture.
Team building, technical strategy, and delivery roadmaps that connect engineering to business outcomes.
Connected customer data through AI-powered entity resolution, creating a unified foundation for analytics and personalization.
Built reusable machine learning services that help product teams deliver more relevant experiences and improve customer targeting.
Designed scalable machine learning pipelines for Next Best Action, personalized content, and financial advisor recommendations.
Combined reusable frameworks with model feedback loops to support timely insights and continuous improvement.
Built scalable data ingestion and real-time streaming pipelines to centralize enterprise data and support governed analytics.
Standardized incremental loads and automated workflows to improve data freshness, reliability, and access for business decisions.
Engineering retrieval for production: ingestion, hybrid search, evaluation, and observability.
A practical guide to LangChain, Hugging Face, and similarity search.