Project Alpha
Backend LeadA high-throughput data ingestion pipeline processing real-time event streams at scale.
↗ Reduced end-to-end latency by X% under peak load.
Backend & AI Engineer
Building reliable systems and intelligent pipelines. Open to new opportunities.
A high-throughput data ingestion pipeline processing real-time event streams at scale.
↗ Reduced end-to-end latency by X% under peak load.
Distributed message processing system for coordinating cross-service workflows.
↗ Processed Xm+ events per day with 99.9% uptime.
RAG-based AI assistant that surfaces internal knowledge for engineering teams.
↗ Improved knowledge retrieval accuracy by X% vs. keyword search.
I'm a backend and AI engineer with experience building distributed systems, data pipelines, and LLM-powered tooling for production environments. I care about reliability, observability, and keeping systems simple under the hood.
My recent focus has been on applied AI — specifically retrieval-augmented generation, structured output pipelines, and integrating language models into backend workflows.
Before that, I spent time on distributed data infrastructure: high-throughput ingestion, event-driven architectures, and API platform work. Placeholder content — real details coming soon.