Machine Learning Engineer · Product Builder

Designing purposeful AI systems that balance velocity, resilience, and trust.

I help teams ship ML-powered platforms and realtime infrastructure—from greenfield strategy to production launch—while keeping a relentless focus on measurable outcomes, craft, and system health.

Production ML systems deployed
12+
p99 latency achieved for realtime APIs
45ms
Daily requests orchestrated
100K+
  • LLM Delivery

    Production AI pipelines with guardrails

    Architecting retrieval-augmented workflows with evaluation playbooks, human feedback loops, and observability baked in.

    RAGLangSmithPromptOps
  • Realtime Platforms

    Resilient communication fabrics

    Designing streaming and messaging infrastructure that stays deterministic even under global scale and network partitions.

    gRPCWebRTCKafka
  • Product Strategy

    Outcome-driven experimentation

    Aligning research, design, and engineering to ship measurable value—from prototypes to revenue-ready systems.

    RoadmappingExperiment DesignMetrics
Featured Work
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Launched

Realtime Communication Fabric

Rust-based messaging mesh with adaptive QoS, multi-region replication, and self-healing node orchestration.

RustgRPCRedis Streams
In Progress

LLM-powered Contact Intelligence

Semantic enrichment platform blending vector search, graph features, and agentic workflows to surface revenue signals.

PythonLangChainWeaviate
Technical Capabilities

Full-stack leadership across data, systems, and product.

Let's collaborate

Ready to build the next product milestone or platform evolution?

Whether you're validating a new AI initiative or scaling an established platform, I partner with teams to ship measurable outcomes—fast, safely, and with craft.

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