Impact · Applied R&D · Production ML
Work delivered
in real contexts.
Four professional case studies connect behavioral research, model evaluation, machine-learning architecture and product decisions.
Descriptions intentionally focus on transferable methods, decisions and learnings. No client data or confidential information is disclosed.01 — INDUSTRY WORK
Four complete journeys, from hypothesis to product decision.
Predictive behavioral segmentation: knowing when a model does not generalize
An anonymized case study in behavioral feature engineering, XGBoost, temporal validation and failed transfer across environments.
- Scope
- Behavioral modeling
- Outcome
- Aggregated AUC from 0.70 to 0.77 across behaviors; insufficient cross-domain transfer led to an environment-specific strategy.
From CLIP benchmarks to a production multimodal platform
A consolidated case study covering model selection, vector retrieval, serving and productionization of a text-image pipeline now running in production.
- Scope
- Multimodal retrieval
- Outcome
- Task-specific model selection and an incremental text-image pipeline now in production, with monitoring and load testing.
Personalizing product search through behavioral affinities
An anonymized case study covering user-product signals, LambdaMART, temporal validation and the limits of offline evaluation.
- Scope
- Ranking personalization
- Outcome
- Affinities outperform context alone across offline NDCG, Hit Rate and MRR; online uplift remains to be measured.
Evaluating a vision-language model against human UX judgments
An experiment across 100 ecommerce websites and 600 evaluations comparing GPT-4.1 mini with a public human benchmark on six design-perception dimensions.
- Scope
- Multimodal UX evaluation
- Outcome
- 600 evaluations across 100 websites; overall Pearson correlation of 0.416, with positive bias requiring calibration before product use.
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A product problem deserves a measurable method.
I work across behavioral signals, search, recommendation and AI systems applied to user experience.
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