What I work with
What I build, how I think, and the systems I'm proud of.
Complex System Deployments
Modular architectures and production systems built to survive real-world constraints.
I design and deploy modular backend architectures built for production environments — not demos. That means containerized services, clear service boundaries, logging, monitoring, and deployment pipelines that don’t collapse under pressure. I’ve shipped systems in early-stage startups where every architectural decision has long-term impact, so I optimize for clarity, resilience, and maintainability from day one.
AI Pipelines & Agent Workflows
LLM systems built for structured, real-world integration.
I build multi-step AI workflows that combine LLM reasoning with structured logic, RAG pipelines, document parsing, and validation layers. These systems are designed for reliability and traceability — not just experimentation. I’ve implemented document-driven AI pipelines that feed structured outputs into downstream risk and decision systems.
Data Science & Applied ML
Applied machine learning for high-impact decisions.
I build end-to-end data pipelines — ingestion, feature engineering, model training, calibration, and deployment. My work focuses on applied ML in contexts where predictions matter: risk scoring, anomaly detection, and document classification. I prioritize calibration, interpretability, and measurable impact.
UI/UX & Frontend Engineering
Interfaces that make complex systems usable.
I design and build responsive interfaces using React, Next.js, and TypeScript. I approach frontend as the layer that makes complex systems understandable and trustworthy. Whether internal dashboards or external products, I focus on clarity, performance, and purposeful design.
GPU Infrastructure & Model Deployment
From GPU provisioning to inference endpoints in production.
I manage GPU-based infrastructure end-to-end — provisioning, containerized inference services, model versioning, and performance monitoring. I’ve deployed computer vision and NLP models into production systems with strict latency and reliability requirements. My focus is reproducibility, cost-awareness, and operational transparency.
Risk & Decision Systems
Interpretable scoring and decision frameworks.
I design risk assessment and decision-support systems where interpretability is essential. This includes calibrated scoring frameworks, screening tools, threshold logic, and audit trails. I’ve worked on fraud detection, financial risk intelligence, and compliance-aware systems where minimizing false negatives is critical.