PROFESSIONAL TIMELINE
2+ YEARS
Full-Stack Architecture & ML Systems
My career is defined by the convergence of app engineering and machine intelligence. I evolved from building standard full-stack applications to architecting the high-performance infrastructure that powers them—optimizing database queries alongside neural network inference to ensure the entire system runs at production speed.
CURRENT FOCUS
PRODUCT & SCALE
The Intersection of UX and AI
I build the engines that make AI products viable. My focus lies in constructing automated data pipelines and scalable Retrieval-Augmented Generation (RAG) architectures. I treat the model as just one component of a larger, fault-tolerant system, ensuring that complex AI features are delivered with low latency and high reliability.
Areas of Expertise
AI & Machine Learning
Engineering the cognitive layer. I build RAG pipelines that reason and quantization workflows that fit massive models onto edge devices.
Distributed Systems
Architecting fault-tolerant microservices that scale. Focusing on high-throughput event streaming, consistency, and gRPC communication.
Full Stack Engineering
Building reactive command centers and dashboards. I focus on performance, handling real-time data visualization without UI stutter.