Backend / AI Engineer
I build backend systems that stay fast under load and AI pipelines that stay honest under scrutiny.
I'm Basil, a backend and AI engineer. I geek out on the parts of a system that decide whether it survives real load: caching, connection pooling, batch processing, async, and heavy query optimisation.
The other half of my brain lives in AI infrastructure. I build RAG pipelines, evals and agent harnesses that are measurable and debuggable instead of held together by vibes.
I'm a Computer Science (Honours) student at NUS, currently interning at Twiss and Biohackk. Most of what I build starts as a hackathon hack and grows from there.
Heavy query optimisation, caching, connection pooling, batch processing and async I/O. Pooled, pipelined paths and the cold tail latencies nobody profiles until it's on fire.
RAG pipelines, agent harnesses, tool-calling orchestration and evals that retrieve the right context, not the most context.
Treating latency, recall and cost as distributions, not averages. Load modelling and measurement that turn noisy telemetry into decisions you can defend.
Overall Grand Winner. A security gate for AI agents that blocks supply-chain malware before install — detonating each package in a disposable Daytona sandbox seeded with honeypot credentials, fused with Qwen 3.5 static analysis on a Nosana GPU, Doubleword embedding matches against known malware and live Oxylabs reputation intel.
Turned a single room image into a walkable 3D world — Gaussian-splat environment generation, AI object meshes, a semantic-label layer and a mobile AR viewer.
An end-to-end AI engineering prototype — agents, retrieval and structured-output evaluation — built alongside OpenAI, Cursor, Vercel, Google DeepMind and ElevenLabs.
A tap-a-place experience on Grab Maps where archetype characters deliver review-flavoured monologues in ElevenLabs voices, brokered through a key-safe Vercel Serverless BFF.
A GeoGuessr-style game that geolocates uploaded images and videos via Gemini Vision, with FFmpeg scene detection and a Dockerised stack on GCP Cloud Run.
An AI video analysis platform answering natural-language queries over footage with timestamped, confidence-scored findings using the Gemini Files API and Gemini 3 Pro.
Bachelor of Computing (Honours), graduating May 2027. Focus on full-stack engineering, distributed systems and applied AI; active across NUS's hackathon and student-leadership communities.
Graduated with Merit — the engineering foundation that led into Computer Science.
OPEN TO WORK · Singapore
