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 resume 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.
AI Customer Support Agent
Autonomous, tool-calling support agent built on N8N — the LLM reasons over each query and decides which action to take, rather than following a scripted flow.
Smart Document Management System
Document classification via AI Builder, extended with a RAG layer so users can ask questions over their document library and get answers grounded in the source text.
Blackline Reconciliation: Concur ↔ Citi Bank
Automated corporate-card reconciliation pipeline for Atlassian, matching Concur expense transactions against Citi Bank card data using Workato and BlackLine.
AI Resume Screening
Automated candidate screening pipeline using AI Builder for resume parsing and scoring, integrated into Power Automate.
Internal AI Chatbot for Compunnel Inc
Conversational assistant built in Microsoft Copilot Studio to handle internal employee queries and reduce IT/HR ticket load.
By platform
Full breakdown of every solution delivered, grouped by tool.
AI
LLM-based systems — AI-driven invoice processing, AI resume screening, RAG-enhanced document management, a tool-calling support agent, and an internal AI chatbot.
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
5 client engagements — Compunnel, Titan Environmental, Equinix, Atlassian, and Broadcom — spanning MuleSoft migration, incident automation, CPQ/Coupa approvals, finance integrations, and IT self-service.
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.