Selected Work
Architecture that carries AI into production.
A capability-focused view of my work across enterprise AI platforms, evaluation, agentic systems, and cloud ML. Project details are presented at a public-safe level.
- 01
Enterprise AI Platforms
Architecting intelligent assistants that connect foundation models with enterprise knowledge, structured data, and business workflows.
Enterprise GenAI · RAG · LLMOps · System Design
- 02
AI Evaluation and Governance
Building modular evaluation platforms for ground-truth generation, quality and safety assessment, human review, scheduled evaluation, and production monitoring.
LLM Evaluation · Responsible AI · Observability · MLflow
Read the SEAL article - 03
Agentic AI Architecture
Designing skill-based agent frameworks with tools, memory, orchestration, secure execution, and agent-to-agent interoperability.
AI Agents · A2A · Tool Use · Security
- 04
Cloud ML Platforms
Developing and modernizing ML foundations across Databricks, AWS, and GCP, including experiment tracking, model serving, data pipelines, monitoring, and governance.
Databricks · AWS · GCP · MLflow
- 05
Adaptive ML Systems
Creating feedback-driven ML workflows that use production signals, evaluation results, and controlled lifecycle processes to improve system behavior.
Feedback Loops · MLOps · Monitoring · Governance