RPA developer / AI agent developer
I turn repetitive business processes and complex documents into reliable, measurable automation.
Iasi, Romania
01 / About
I am an automation engineer with 3+ years of hands-on UiPath experience. I still work at Atos as an AI Developer, where I learned to build AI agents.
These are separate experiences. My RPA work is UiPath delivery for business processes. My current AI work uses Python, retrieval-augmented generation, prompt engineering, and agentic frameworks. I care about systems that are observable, explainable, and useful beyond the demo.
From opportunity to reliable operation.
Map the process and user needs
Find value, risk, and feasibility
Plan with users and owners
Test behavior, exceptions, and AI quality
Deploy, monitor, and support
Measure outcomes and iterate
Human-centered. Observable. Production-minded.
UiPath Studio, Orchestrator, REFramework, VBA, ServiceNow, Twilio APIs
Python, RAG, LLM integration, LangGraph, LangSmith, MCP, Git
UiPath Automation Developer Associate, Document Understanding, ITIL 4 Foundation
02 / Automation impact
As an RPA developer at Atos Global Delivery Center, I delivered the following major automation projects.
A
Monitoring & incident automation
Automated 24/7 monitoring for eight critical applications with UiPath and ServiceNow, reducing repetitive checks and accelerating incident visibility.
B
VBA-integrated RPA
Developed more than ten VBA solutions integrated with UiPath for over seventy bots, connecting spreadsheet workflows with resilient automation.
C
Enterprise RPA delivery
Built and supported UiPath automations across orchestrated business processes, applying reusable patterns, production monitoring, and reliable exception handling.
D
On-call automation
When an incident is received in ServiceNow, an automation uses Twilio to call the on-call engineer and inform them about the ticket.
These professional case studies omit confidential implementation details and client data.
03 / Practice projects
AI document intelligence
A document-aware search and Q&A application that grounds answers in uploaded PDFs, DOCX files, and text documents.
The pipeline combines extraction, OCR, chunking, semantic retrieval, and an OpenAI-compatible LLM. When embeddings are unavailable, it degrades gracefully to keyword retrieval instead of failing.
Browser & desktop game
A fun project built with HTML, CSS, JavaScript, and Python, as part of my beginning in Python programming.
To play it, press the Start button, then use the arrows to move the snake. What is your best score? :) This score is kept only in this browser.
04 / Contact