Most virtual assistants can follow a checklist. I was trained to question why the checklist exists in the first place. As a BS Computer Engineering graduate of National University – Laguna, I spent my internship replacing manual, error-prone reporting with Python automation on a live production line — the same instinct I now bring to founders and small teams: look at the repetitive task, then build something that removes it permanently instead of just doing it faster by hand.
Python scripts that handle the copy-paste, re-typing, and re-formatting work your team does every day — built once, run forever.
Accurate, structured data entry and cleanup, plus automated logging systems so your records stay consistent without manual double-checking.
Inbox management, scheduling, document prep, and day-to-day admin — handled with the same attention to detail I bring to engineering work.
Turn scattered raw data into a report or dashboard that updates itself, so you see what's happening in the business without asking someone to pull it together.
Software troubleshooting, systems support, and general tech-savvy problem-solving for the issues that quietly eat up your day.
If it's repetitive, rule-based, and eating your time, there's a good chance it can be automated. Tell me the task and I'll tell you honestly if it's a fit.
15–20 minutes to understand the task, the tools you already use, and what "done well" looks like for you.
A clear, honest breakdown of what I can automate, what still needs a human, and what it will take.
I build the automation or take on the task, testing against real data before it touches your workflow.
You get clear documentation of how it works, plus support if anything needs adjusting later.
Python for most automation and data work, plus Microsoft Excel/Office, Google Sheets, SQL, and Azure. If your workflow lives in a specific tool, tell me during the discovery call and I'll confirm fit.
Small automations and admin tasks typically start within a few days of scoping. Bigger builds get a clear timeline upfront so there are no surprises.
Yes — happy to sign an NDA before I see any of your data or systems.
That's exactly what the free discovery call is for. Describe the task and I'll give you a straight answer.
Python, JavaScript, TypeScript, C / C++, C# .NET, SQL, HTML
Python task & process automation, data-logging pipelines, Generative AI, TensorFlow (basic), PyTorch (basic)
Microsoft Excel & Office (advanced), Google Workspace, database/spreadsheet automation, dashboard reporting
Microsoft Azure, Git, Linux CLI, remote collaboration & cloud tools
Trained on strict QC compliance and failure/defect analysis in live production environments — accuracy is a habit, not an afterthought
Based in Calamba City, Laguna, working remotely with clients locally and overseas. A free discovery call is the fastest way to find out if your task is a good fit for automation.