Staff Full-Stack Engineer & AI Systems Architect. Designing high-throughput distributed engines and autonomous intelligence.
I am Maya Chen, a full-stack engineer and distributed systems specialist. I build fault-tolerant cloud backbones, real-time AI inference pipelines, and ultra-crisp interfaces that process millions of events per second with elegance.
Over the past eight years, I have architected high-concurrency microservices, global data fabrics, and machine intelligence pipelines across tech frontiers.
I believe that true engineering elegance lives where rigorous distributed systems discipline meets thoughtful human-computer interaction. Whether designing sub-millisecond Raft consensus protocols or crafting responsive glassmorphic interfaces, my aim is absolute clarity and bulletproof performance.
Based in San Francisco and collaborating globally with visionary teams shaping the future of autonomous software.
Leading teams and engineering critical infrastructure from early growth to hyper-scale enterprise.
Spearheaded the design and deployment of the next-generation multi-agent execution fabric, orchestrating millions of parallel reasoning workflows daily.
Architected high-throughput telemetry storage layers handling over 35 billion data points weekly with sub-5ms interactive analytics queries.
Implemented globally replicated key-value storage nodes and zero-trust perimeter proxies for tier-1 financial infrastructure clients.
Four representative architectures illustrating deep-stack engineering across distributed consensus, AI inference, and cloud networking.
Enterprise LLM reasoning loop engine with deterministic tool calling, multi-agent quorum consensus, and sub-180ms TTFT streaming inference.
Globally partition-tolerant key-value store with Raft consensus synchronization, RocksDB backend, and zero-downtime shard rebalancing.
Low-latency computer vision pipeline deploying quantized neural models to edge gateways for automated industrial telemetry and classification.
Zero-trust service mesh and intelligent load director with automated mTLS, token rotation, and distributed OpenTelemetry tracing graphs.
Currently considering select technical advisory roles, staff engineering leadership opportunities, and high-impact distributed AI collaborations.
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