Bio
I'm a founding engineer building AI-first systems designed for production scale and reliability. My work spans distributed infrastructure, applied ML pipelines, and neuromorphic computing research, from training spiking neural networks to deploying them on custom hardware.
Shaped by real-world deployments driving $70K+ in early client revenue, I focus on pragmatic execution, bridging the gap between research ideas and shipped products. My approach emphasizes minimal, battle-tested code over theoretical elegance.
Industry Experience
Building AI-first automation systems. I own CI/CD pipelines, devops stack, and backend infrastructure across products. Leading R&D initiatives in neuromorphic computing, knowledge graphs, and efficient architecture design.
I designed and trained models for optical signal classification and anomaly detection. Used GANs and transformers for signal robustness and sequence-level interpretability.
Education
I completed my undergraduate degree in Software Engineering with specialization in deep learning, machine learning, and mathematical foundations of AI systems.
I completed a rigorous American curriculum with Advanced Placement examinations. Good times :)
Cool Projects
Spiking Neural Network Deployment Stack
I built a complete toolchain for deploying spiking neural networks to specialized hardware. Includes optimized runtime engine, model conversion utilities, and visualization tools. Contributed upstream improvements to neuromorphic frameworks and achieved significant efficiency gains on event-based vision benchmarks.
Bizmila - AI Co-Founder Platform
Multi-agent LLM orchestration platform that transforms startup ideas into investor-ready deliverables. I led backend architecture using Node.js, TypeScript, FastAPI, and Docker. Integrated OpenAI, Claude, and Cohere APIs with custom evaluation logic and intelligent fallback mechanisms across providers.
Virtual Try-On Engine
Geometry-based try-on prototype with real-time computer vision and ML integration. I engineered the backend service orchestration layer and real-time data pipelines for processing video feeds and generating overlay predictions.
Publications
Neuromorphic Intermediate Representation for FPGA Prototype
Manuscript in preparation; internal review phase (2025)