
Agentic Procurement Bot
Autonomous agent that reads SAP purchase requisitions, drafts supplier RFQs with GPT-4o, parses replies with Claude, and creates purchase orders — end to end, no human in the loop.




I build autonomous systems that never sleep — agents that read enterprise data, make decisions, and act.
Copy. Paste. Repeat. By hand — or by itself. 65+ production RPA workflows, 12–16% less manual workload.
Iteachmachinestoread,decideandact.65+productionautomationsacrosssixdepartments—procurement,HR,IT,finance—quietlysavingthousandsofhumanhourseverysinglemonth.

Autonomous agent that reads SAP purchase requisitions, drafts supplier RFQs with GPT-4o, parses replies with Claude, and creates purchase orders — end to end, no human in the loop.

Fine-tuned BERT on 3+ years of ticket history. Users talk to K-Bot; the model classifies, estimates effort, assigns SLA, and auto-creates tickets via ManageEngine REST API.

High-throughput REFramework robot across MM, PP and SD — 1,000+ records per run, full exception taxonomy, auto-retry with app relaunch, stakeholder KPI reports on completion.

Human-in-the-loop onboarding automation: document intake, validation and system provisioning orchestrated by robots, with Action Center checkpoints where judgment matters.

Computer-vision pipeline detecting emotion from live video streams — model inference tuned for real-time frame rates.

Competitive machine learning: feature engineering, ensembling and disciplined validation on structured prediction problems.
Every system I build starts as a node in my Obsidian neural network — hundreds of linked notes on agents, LLMs and enterprise automation, compounding daily. This graph is alive. So is the vault.
I strip the repetitive out of enterprise work. Autonomous agents watch, decide and act — so people get to do the human part. That engine never sleeps. This is the core.
65+ UiPath workflows in production across procurement, HR, IT, finance — REFramework, Orchestrator queues, custom C# activities.
Agentic AI: autonomous GPT-4o + Claude agents operating inside SAP — from purchase requisition to confirmed purchase order.
ML in production: fine-tuned BERT ticket classification serving the whole holding via K-Bot, 94%+ accuracy.
Backend engineering: REST services, SQL, and internal tooling — where the enterprise instincts were forged.
Development practice: Git flow, code review culture, agile delivery in a production codebase.