Specializing in cloud-native architecture, distributed pipelines, and AI-driven integrations. I design resilient platforms that handle complex workloads, enabling innovation at every layer of the stack.
I am a Senior Systems Engineer with deep experience designing and delivering cloud-native platforms that operate at scale. My work spans distributed systems architecture, ML infrastructure, data pipelines, and agentic automation with a focus on systems that are resilient, observable, and fast.
I have shipped production systems handling millions of data events, led pipeline architecture for AI-assisted platforms, and built scraping and indexing infrastructure that aggregates structured data across thousands of sources.
My approach is engineering-first: I care about correctness, latency, and maintainability, building for the team that will own the system long after launch.
Production systems built for scale, reliability, and real-world impact.
A scalable agentic job aggregation engine that ingests, normalizes, and indexes listings from multiple sources. Built with automated scraping pipelines, queue workers, and structured search indexing for high-throughput data processing.
An AI-assisted market analysis platform that processes financial data streams and surfaces actionable insights. Designed around data ingestion pipelines, signal processing, and intelligent decision support systems.
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