Performance-driven Software Engineer with 5+ years of programming experience, specializing in systems architecture (Rust, C++) and cloud-native web development (Python, AWS). Proven track record of modernizing legacy APIs to improve latency and resource efficiency. Expert in designing Agentic AI workflows and cross-platform native applications. Committed to delivering scalable, type-safe infrastructure using Terraform and Docker.
Architected a high-performance Rust execution engine using tokio::JoinSet and a priority-based queuing system to manage concurrent, deterministic agent operations against enterprise data.
Engineered a distributed gRPC/Protobuf middleware and mapper abstraction layer, enabling multi-language SDKs (Python, Go, .NET) to safely interact with SQL databases through structured function calling.
Developed an automated schema reflection system that generates JSON Schemas for LLM consumption, featuring built-in prompt injection defense and real-time event-driven audit logging.
Engineered a high-performance, cross-platform desktop application using Rust and the Slint toolkit as an executable desktop application
Implemented an Agentic AI workflow utilizing OpenAI GPT-4.1; engineered a prompt-chaining pipeline with structured JSON validation to ensure type-safe recipe generation
Designed a native, responsive UI and implemented persistent storage by saving user data to custom local application filesystem
Re-architected core backend microservices from Python to Rust, achieving a 95% reduction in P99 latency and handling 10k+ concurrent connections
Developed a reactive telemetry dashboard using Svelte and WebSockets to visualize high-frequency biometric data streams with <16ms render times
Contributed to the core system by developing and deploying real-time Google Glass-based image recognition software utilizing OpenCV for real-time object detection