AI Research Engineer
I research and build across AI: mechanistic interpretability, reinforcement learning, world models, multi-agent systems, and alignment for post-AGI futures.
View work & projectsI research AI because understanding it deeply is the only way to make it safe and genuinely useful.
My focus is mechanistic interpretability, reinforcement learning, world models, and multi-agent coordination: the foundations that determine whether post-AGI systems expand human agency or undermine it.
Experience
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Tracer
AI Engineer Intern
- ▸ Built LangGraph-based agent workflows for OpenSRE, turning incident triage, runbooks, and operational tooling into stateful, tool-calling graphs with explicit control flow for production reliability work.
- ▸ Connected observability and SRE systems into those pipelines so multi-step remediation stays traceable, repeatable, and easier to extend than ad-hoc scripts during on-call.
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PixelPro Studios
AI Engineer · Remote
- ▸ Engineered real-time data ingestion pipelines handling high-throughput event streams from 2000+ concurrent users, with production-grade ETL, feature extraction, and anomaly detection for downstream ML workflows.
- ▸ Built and deployed ML-driven automation services that reduced manual overhead by 60% and increased client acquisition by 200%, owning delivery from experimentation to production rollout.
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Singapore Army
Command Systems Platoon Commander
- ▸ Designed PowerShell scripts for real-time status monitoring and automated fault detection, reducing diagnostic time by 75% across critical infrastructure.
- ▸ Directed deployment of hyperconverged infrastructure (Windows Server, Nutanix) for Brigade C2 systems with 99.99% uptime and reliability requirements.
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Government Technology Agency (GovTech)
Software Engineer Intern
- ▸ Built a no-code workflow automation platform using ServiceNow and JavaScript, reducing development cycles and enabling rapid iteration on data-driven processes.
- ▸ Translated complex business requirements into scalable architectures using UML, with emphasis on auditability and compliance-aligned documentation.
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Centre for Strategic Infocomm Technologies (CSIT)
Full-Stack Engineer Intern
- ▸ Built a cloud-native platform using React, TypeScript, Java Spring Boot, MongoDB, and Docker with real-time data pipelines and behavioural analytics, driving a 50% improvement in engagement metrics.
- ▸ Designed data models and filtering logic for longitudinal interaction signals, improving data quality for analytics and potential NLP/LLM downstream use cases.