Bridging Data Science
& Business Value
Transforming complex data into clear insights and scalable AI solutions. Passionate about driving impact where technical innovation meets business strategy.
Architecting Intelligence
My background is in Data Science, but my vision is set on Solutions Engineering and Architecture — translating complex technical capabilities into outcomes that matter to customers and stakeholders.
I believe the true power of AI isn't just in the algorithms, but in how they are integrated into scalable, cloud-native architectures that solve real business problems end-to-end.
Focusing on Generative AI, LLMs, and GCP-based infrastructure, I bridge the gap between research and production — from optimizing RAG pipelines to designing systems that generate measurable business value.
AI Engineering
Scalable System Architecture
Generative AI
LLMs & Agentic Workflows
Cloud Architecture
GCP · Solution Design
Professional Journey
Building the technical foundation for solving real business problems.
Data Scientist II
Solution Architecture & Delivery
- Led a 6-member cross-functional team to architect and ship a production computer vision platform for photolithography defect detection on GKE — end-to-end from problem framing and system design to stakeholder alignment and rollout.
ML Engineering
- Designed a time-series predictive maintenance pipeline on GCP Cloud Run — model predicts 10%+ consumable lifetime extension, equivalent to ~$2M annual savings at full rollout.
- Designed BigQuery schemas and SQL pipelines for ML feature engineering and cross-team self-service analytics.
POC & Tooling
- Built a self-serve defect annotation platform (Streamlit + Label Studio), eliminating data scientist dependency from retraining cycles.
Software Engineer
Client Delivery
- Translated MPA Singapore client specifications into a production digitalization platform, owning the full delivery lifecycle from requirements through deployment.
- Spearheaded CI/CD implementation with GitHub Actions, automating testing pipelines and ensuring seamless deployment cycles.
Technical Projects
Showcasing simple, scalable solutions to complex problems. Demonstrating the bridge between raw data and business outcomes.
theta-agent — Options Strategy Agent
CLI-based AI agent that autonomously researches a ticker and proposes a concrete options strategy. Uses tool calls to fetch live price data, news, options chain, and greeks via yfinance. Persistent per-ticker state stores past sessions and positions, injecting prior context into each new run for more grounded, context-aware analysis.
BTO Grant & Eligibility Assistant (DSPy)
An exploration of DSPy capabilities for optimizing RAG pipelines. This assistant helps users navigate the complexities of HDB BTO grants and eligibility criteria using automated prompt tuning.
Technical Blog
A collection of technical articles and tutorials on Data Science, AI, and Software Engineering. Sharing knowledge and insights from real-world projects and experiments.
Skills & Credentials
A hybrid skillset spanning AI engineering, cloud architecture, and client-facing solution design.
Google Cloud Professional Cloud Architect
Google Cloud
AI & Data Science
Cloud & Infrastructure
Engineering & Web
Solutions & Leadership
Let's Collaborate
I combine the technical depth of a Data Scientist with the strategic mindset of a AI Engineer to deliver impactful AI solutions.