Technical Product Leadership | Data, AI & Automation | iGaming, SaaS & FinTech
Have an important technical product or project that needs someone to take ownership and drive it forward?
That's often where I come in.
I help iGaming, SaaS and FinTech companies lead complex technical products and projects from ambiguity through execution.
I work between business leaders and technical teams. I turn commercial goals into clear product requirements, priorities and delivery plans. Then I work with engineering, data, AI and business teams to get the solution into production.
My strongest expertise is in Data, AI and Automation.
I'm also a Founding Member of Bugmole.
BytePilot · LinkedIn · Upwork · Technical articles
I take ownership of technical initiatives that need stronger product leadership, stakeholder alignment and delivery execution.
This includes defining requirements, setting priorities, coordinating teams, managing dependencies and moving the solution into production.
I help companies define the right Data & AI problems, assess feasibility, design solutions and turn ideas into practical implementation plans.
My focus is on useful systems that support business decisions, improve operations and solve a clear problem.
When a project needs additional capacity, I can bring in Data & AI specialists through BytePilot to support delivery.
- Marketing attribution and acquisition: reliable event tracking, postbacks and channel visibility.
- Retention and CRM analytics: customer behaviour, segmentation and retention insights.
- Fraud and risk detection: suspicious activity and signals that need investigation.
- Payments: technical delivery and coordination across payment-related systems.
- Data platforms and analytics: pipelines, integrations, reporting and data quality.
- AI agents and workflow automation: practical AI applications, connected workflows and human review.
- Product delivery and operational reliability: clear ownership, priorities, monitoring and production troubleshooting.
These educational projects and demonstrations show my technical foundation. They are separate from confidential client work.
| Project | Focus | Tools and methods |
|---|---|---|
| Credit card fraud detection | Fraud classification with imbalanced transaction data | Python, scikit-learn, undersampling |
| Customer churn prediction | Customer retention modelling and experiment tracking | Python, model stacking, Optuna, Comet ML |
| RFM customer segmentation | Customer behaviour and value segmentation | Python, pandas, K-Means |
| Email campaign performance analysis | Campaign delivery, open rates, clicks and response windows | SQL, SQLite, Jupyter |
| ShopBot: AI e-commerce chatbot | Product questions, recommendations and interaction logging | Python, OpenAI, Comet LLM |
| Automated web scraping data pipeline | Data extraction, database integration and event streaming | Python, PostgreSQL, Kafka, Debezium, Docker |
Marketing needed reliable attribution and postbacks to support increased advertising spend.
My role
- Translated commercial goals into technical requirements and delivery priorities.
- Led a solution architect and three engineers.
- Coordinated marketing, engineering, data and senior management.
Key decisions
- Near real-time attribution and postbacks.
- Monitoring, retries and operational visibility.
- A one-hour SLA for critical postbacks.
Results
- Infrastructure handled approximately 1–5 million events per day.
- Reduced missing and delayed postbacks and improved channel visibility.
- Supported advertising spend growth from roughly US$20,000 to US$100,000 per day over about six months.
This is an anonymised delivery summary. Client source code and internal data remain confidential.
My background combines technical engineering, product leadership and business delivery.
I bring 8+ years of experience across engineering and technology leadership, including data engineering work at FPT Software and Accenture.
I started with data pipelines, ETL, cloud platforms, APIs and analytics systems. Today, I use that technical foundation to lead products and projects where business and engineering need to work closely together.
| Area | Technical foundation |
|---|---|
| Data engineering and analytics | Python, SQL, ETL, APIs, relational and NoSQL databases |
| Cloud platforms | Azure, AWS, Google Cloud |
| AI and automation | Machine learning, LLM workflows, AI agents, n8n, integrations |
| Product and project delivery | Requirements, prioritisation, stakeholder alignment, cross-functional delivery, Jira |
| Operational reliability | Production troubleshooting, monitoring and issue coordination |
Give me a commercially important technical problem, and I'll take responsibility for moving it from ambiguity through execution.
I start by understanding the business goal and what success looks like. Then I clarify the scope, align the people involved and keep priorities, owners, milestones and blockers visible.
For AI agents and automation, I also consider data quality, context, evaluation, permissions, failure handling and human responsibility.
If your company has an important technical initiative that needs an owner, feel free to connect.
- BytePilot: explore services and book an introductory call.
- Upwork: view my freelance profile and discuss a project.
- LinkedIn: connect with me and follow my work.
Based in Kuala Lumpur, Malaysia, working remotely.