Real-world systems built for scale and impact. From LLM/RAG applications processing thousands of documents to data pipelines handling millions of events.
Customer-facing LLM/RAG system that automated ~60% of support workflows by processing 10k+ call transcripts with 35% reduction in hallucinations.
AWS-based data pipeline processing 12k+ daily events with sub-hour data freshness, powering KPI dashboards and churn prediction.
NWChem molecular simulations on HPC clusters for pharma drug-discovery, with SLURM job optimization reducing failed cycles by 15%.
Analytics platform APIs optimized for 10k+ farmers in low-bandwidth environments, achieving 99.9% data reliability.
Serverless AWS pipeline processing 10M+ taxi trips with Power BI dashboard for demand analysis and forecasting.
ML pipeline for automated loan-risk scoring with production-ready inference workflows.
I'm always interested in challenging data and AI problems. Let's discuss how I can help build your next production system.
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