Outcomes, not adjectives
A few engagements where the numbers did the talking - from knowledge-graph agents in production to fraud losses cut by three quarters.
A knowledge graph that made 7 AI agents cheaper and sharper
As founding engineer at a US developer-tooling startup, I designed the knowledge-graph backbone for an automated software-analysis platform - turning raw context into structured graph slices that made a fleet of AI agents both cheaper to run and more accurate.
Read case study →Reviewing 1M+ litigation documents at 99% accuracy
As technical lead at a US litigation-data firm, I built the NLP/ML pipeline behind high-stakes litigation delivery - turning a manual review bottleneck into an accurate, auditable, automated process.
Read case study →Cutting fraudulent transactions by 75% for a bank
Consulting independently across fintech and banking, I built a fraud-detection model that sharply cut losses - one of a series of predictive systems delivered for measurable business outcomes.
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