SELECTED ENGINEERING

Systems, end to end.

From event streams to intelligent decisions. A closer look at the architecture, engineering choices and trade-offs behind my work.

3 projects
01AIEngineering project

SentinelRisk

Real-Time Explainable Risk Intelligence

Event-driven risk scoring with explainable predictions and an observable model lifecycle.

  • Kafka
  • Python
  • FastAPI
  • PostgreSQL
  • MLflow
  • Docker
  • Explainable AI
Architecture overview
KafkaEVENT STREAM
Risk modelEXPLAINABLE ML
FastAPIDECISION API
02DataEngineering project

FinStream

Modern Batch + Streaming Data Platform

A unified path from raw events to trustworthy, analytics-ready data.

  • Kafka
  • Spark
  • Airflow
  • dbt
  • PostgreSQL
  • Docker
Architecture overview
KafkaINGESTION
SparkPROCESSING
dbtANALYTICS
03AIEngineering project

PolicyLens

Enterprise Document Intelligence

Citation-first retrieval with access control, evaluation and human approval.

  • LLMs
  • RAG
  • Vector Search
  • Python
  • FastAPI
  • RBAC
  • Evaluation
  • Docker
Architecture overview
DocumentsKNOWLEDGE
RetrievalVECTOR SEARCH
LLMCITED ANSWERS
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Let’s build
intelligent systems.

I’m interested in engineering opportunities and collaborations involving production AI, data platforms, backend systems and applied machine learning.