About Tommy Teo

Tommy Teo is a Singapore-based AI Developer who builds intelligent software at the intersection of artificial intelligence, cloud computing, and financial technology. His focus is on replacing slow, manual accounting work with systems that read, reason about, and act on financial data automatically — so businesses spend less time on data entry and reconciliation and more time on decisions.

He currently works as an AI Developer at AI Account Pte Ltd, a Singapore-based cloud accounting software company serving startups, SMEs, and accounting firms across Singapore, Malaysia, Hong Kong, and the wider region. There he contributes to AI-driven features for invoicing, reconciliation, tax automation, and financial reporting.

From IT solutions to AI-driven finance

Tommy's background is in IT solutions and digital transformation. Working closely with the operational side of businesses gave him a first-hand view of how much time teams lose to repetitive financial admin — re-keying invoices, chasing mismatched ledgers, and assembling reports by hand. That experience shaped the work he does today: applying machine learning and automation to the parts of accounting that are most error-prone and most worth automating.

What Tommy works on

His day-to-day spans the full lifecycle of AI features for finance — from framing the problem and preparing data, to training and evaluating models, to shipping and maintaining them in production cloud environments. Recurring themes in his work include:

• Automating invoicing, reconciliation, and other repetitive accounting workflows.
• Building machine learning models for cash-flow forecasting and anomaly detection.
• Creating rule-based engines for GST and tax compliance across multiple jurisdictions.
• Using natural language processing to extract and categorise data from unstructured financial documents.
• Designing scalable, secure cloud systems for multi-entity financial consolidation.

You can read more detail on the AI and fintech projects he has built.

Approach and philosophy

Tommy believes the best financial software is the kind you barely notice — it quietly handles the routine work, surfaces the things that need a human, and stays accurate as rules and regulations change. That belief sits behind his interest in compliance-aware automation: systems that don't just move fast, but stay correct under the strict requirements of tax and accounting standards. He works to bridge the gap between rigid regulatory rules and flexible, learning-based AI.

Technology

On the modelling side he works primarily in Python, with machine learning, deep learning, NLP, and computer vision techniques. On the infrastructure side he builds on AWS and Azure, with SQL and Snowflake for financial data, and standard cloud-native tooling for deployment. The goal is always the same: production systems that are reliable, scalable, and trustworthy with sensitive financial data.

Based in Singapore

Tommy is based in Singapore, at the centre of Asia's fintech and accounting-technology ecosystem. He is open to connecting with developers, fintech builders, and accounting professionals. If you'd like to talk, the contact page has the quickest ways to reach him.