Projects & Work
Things I've built
A selection of automation and AI systems delivered across Finance, HR, and Operations — spanning Microsoft Power Platform, Workato, N8N, and modern LLM tooling. Full list with tech stacks is on the résumé page.
Featured
AI-Powered Invoice Processing System
End-to-end invoice capture and approval using AI Builder for document extraction, routed through Power Automate with SharePoint as the record store.
Internal AI Chatbot for Company
Conversational assistant built in Microsoft Copilot Studio to handle internal employee queries and reduce IT/HR ticket load.
AI Customer Support Agent
Automated support agent built on N8N with custom JavaScript logic and LLM-driven responses for customer queries.
Smart Document Management System
Automated document classification, routing, and storage combining AI Builder extraction with Copilot-assisted workflows.
Blackline Reconciliation: Concur ↔ Citi Bank
Automated financial reconciliation pipeline between Concur and Citi Bank using Workato with SFTP-based file exchange.
AI Resume Screening
Automated candidate screening pipeline using AI Builder for resume parsing and scoring, integrated into Power Automate.
By platform
Full breakdown of every solution delivered, grouped by tool.
Power Apps
9 solutions — leave management, ticketing, HR exit, procurement, inventory, expenses, invoicing, and compliance.
Power Automate
5 solutions — resume screening, invoice processing, lead automation, recruitment, document management.
Workato
8 solutions — Coupa, Jira, Salesforce, NetSuite, Concur, BlackLine, and MuleSoft-to-Workato migration.
N8N
2 solutions — AI customer support agent and AI email classification engine.
Publication
AI Engineer Mastery: From Zero to Production
Everyone is "doing AI." Most are still copy-pasting tutorial code that breaks the moment a real user touches it. This book is the bridge — a pragmatic, code-heavy field guide from your first LLM API call to deploying production AI systems with monitoring, evaluation, and safety guardrails.
43 chapters: Foundations (LangChain, RAG, vector databases), Agents (ReAct, MCP, CrewAI, AutoGen, LangGraph), and Production (LoRA fine-tuning, hybrid RAG, deployment on Vertex AI, AWS Bedrock & IBM WatsonX). Published by Notion Press, 2026.