Architecting Legacy Workflows For:
Bridging 'Old-School Reliability' with 'New-Age AI Intelligence'. Building scalable infrastructures and pioneering advanced generative RAG solutions.
Years Experience
Queries Optimized
Uptime Architected
Internal Users
"Where Mission-Critical Infrastructure meets Generative Autonomy."
Modern enterprise requires more than just scaling hardware—it demands workflow intelligence. Over the last 14 years, I have engineered data architectures handling terabytes of localized newsprint and managed secure networks serving thousands of simultaneous users in high-pressure publishing environments.
My current focus is deploying Localized Large Language Models (LLMs) and RAG architectures directly into these private corporate ecosystems. By leveraging Python, NLP, and localized vector searching, I transform massive static databases into conversational intelligent agents—all while guaranteeing zero-trust security and maximum uptime.
An AI-driven search engine for 10 years of news archives. Translates local language chat into structured SQL queries.
View DetailsA Python-based document tool with full Adobe functionalities and a reactive 'Chat with PDF' AI assistant.
View DetailsA dual-purpose intelligent agent handling seamless internal IT resolution and automated ticket management.
View DetailsHigh-speed, highly accurate multilingual OCR engine built for massive print-to-digital archival campaigns.
View DetailsArchitecting, deploying, and scaling robust applications for growing startups and external enterprises.
Drafting and deploying highly scalable RESTful APIs and real-time WebSocket infrastructures using Node.js and Express frameworks.
Implementing LangChain, localized vector databases, and NLP routing to embed AI logic seamlessly into existing legacy softwares.
Full-stack server management including VPS provisioning, automated Docker deployments, precise firewall tuning, and Firebase syncing.
