AI and data engineer
I build data pipelines and ML systems that keep working at 3 AM: streaming ingestion, retrieval-augmented generation, and the plumbing in between.
Open to data and AI engineering roles
Streaming data platform
End-to-end streaming pipelines that validate, enrich and deduplicate financial events as they arrive, then land them in a medallion lake and Snowflake for analytics and risk monitoring.
KafkaStructured StreamingS3SnowflakeAirflow
NLP and retrieval
A conversational AI that answers from your own documents in 10+ languages. Hate speech detection works as a data-quality filter, so only validated content ever reaches the vector store.
DocumentsModerationEmbeddingsVector storeAnswer
Accessibility and AI
An accessible e-commerce platform built from the ground up with screen reader support, voice navigation, haptic feedback and AI-written product descriptions.
Screen reader and voiceStorefrontFlaskAI descriptions
Kafka, Kinesis, SQS
Spark, PySpark Structured Streaming, Dask
Airflow, GitHub Actions
S3, Snowflake, PostgreSQL, Pinecone
FastAPI, Flask, LangChain
CloudWatch, Grafana, Prometheus
Swarm Lens, USA (remote)
Nov 2025 to Mar 2026
Built big-data pipelines for high-volume ingestion, transformation and validation, supporting enterprise risk mitigation and data migration across batch and real-time workloads.
Email is the fastest way to reach me. My resume and other links are one click away.