Current Work

Founder of MyDocumentIntelligence.com, an AI-driven document intelligence platform for legal and healthcare workflows. The system processes PDFs and contracts end-to-end — applying LLM-driven classification, clause extraction, and risk evaluation to accelerate review — on a hybrid architecture that supports leading frontier cloud models alongside privacy-preserving local models, purpose-built for attorneys and legal-operations teams.

Knowledge Base

This site is a working reference of notes, diagrams, and code patterns accumulated while designing and operating data and ML systems in production. It is organized by domain and kept close to the primary sources.

Area	Coverage
AI & Machine Learning	Retrieval-augmented generation, vector stores (FAISS, Chroma), neural-network architectures, natural-language processing, recurrent models, Hugging Face tooling, and document-ingestion pipelines.
Databases	Relational and NoSQL modeling, SQL patterns, graph databases, data streaming, ETL architectures, the Apache ecosystem, and data governance.
Databricks	Platform architecture, Delta Lake, PySpark, Spark internals, data-pipeline design, migration strategies, and performance tuning.
Snowflake	Cortex AI, query optimization, micro-partitioning and clustering, cross-region replication, security posture, and production deployment patterns.
AWS	Redshift, serverless compute, analytics services, storage tiers, observability, and security baselines.
Algorithms	Data structures, algorithm design, Python reference implementations, and data-transformation patterns.
Infrastructure	Containers and orchestration, DevOps tooling, firewall configuration, and Linux system administration.
System Design	Architectural patterns, trade-off analyses, and structured frameworks for problem decomposition.