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Lakshmi Priya Ramisetty
Mid-level ML & Data Engineer specializing in GenAI, graph modeling, and fraud/risk analytics
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About
Built a production AI fraud/risk scoring platform at BlueArc that ingests web business/product/site data, generates text+image embeddings, and connects entities in a graph to detect reuse patterns and links to known bad actors. Optimized for scale with incremental graph re-scoring and delivered investigator-friendly explainability by surfacing the exact signals/relationships behind each score; orchestrated workflows with Airflow and GCP event-driven components (Pub/Sub, Dataflow, Cloud Run) and has recent LLM workflow orchestration experience (retrieval, prompting, scoring).
Experience
Education
Key Strengths
- Built and deployed production AI system for business fraud/risk/impersonation scoring
- Graph-based approach linking businesses via shared assets/behavior (reused images/descriptions) to detect coordinated abuse
- Performance optimization via incremental graph updates and re-scoring (avoids full recomputation as data changes)
- Strong focus on explainability—exposed concrete signals and relationships behind risk scores for investigators
- End-to-end pipeline orchestration experience (ingestion → embeddings/features → inference/scoring → post-processing) with monitoring/alerts
- Pragmatic model/retrieval/prompt selection using rapid prototyping and metric-based comparisons under real constraints
- Effective collaboration with non-technical trust/operations stakeholders to translate investigation needs into usable model features
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