SELECTED WORK / CASE STUDIES
A closer look at how I frame problems, structure data and model workflows, and turn technical experiments into usable systems.
Private · Active development
A multi-provider decision intelligence system for turning fragmented music signals into market-aware, confidence-weighted artist and track insights.
Designed the product around signal provenance, provider coverage, confidence gates, and explicit sparse-data states so the system can separate useful evidence from weak or misleading signals.
View case studyPublic · Active development
A production-style fraud platform that turns payment events into calibrated risk scores, policy decisions, alerts, drift reports, and analyst-facing operational views.
Built an end-to-end system that separates model risk from business policy while connecting event streaming, point-in-time features, explainability, monitoring, and review workflows.
View case studyPublic · Active development
A modular audio ML platform for singing-voice conversion, covering dataset validation, model adapters, durable jobs, evaluation, an API, and a local interface.
Designed the platform around reproducible datasets, isolated model adapters, portable compute backends, and a clear separation between implemented capabilities and optional model-dependent workflows.
View case studyPublic repository
A semantic assistant that uses sentence-transformer embeddings and similarity search to understand Banking77 intents and return conversational responses.
Connected an embedding-based intent workflow to a focused Streamlit interface, turning an NLP experiment into an end-to-end demonstration with thresholded semantic retrieval.
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