I'm a recent graduate from NUS Data Science. I enjoy building Machine Learning and Data Pipelines, learning new things, and creating tools that help developers and AI engineers solve real problems. I believe in continuous learning and improvement, so while my main experience is in building ML, AI and LLM projects, I'm always working on something new.

See more of my work (including teamwork) in the following projects that were more successful overall:

• ARC, which won 5th place out of over 300 teams at the 2025 TikTok Hackathon in Singapore.
• inshaneity AI, a deep learning approach to a classic next-character prediction problem.
• NetFlow Network Intrusion Detection, a real-time network intrusion detection system built end-to-end with PyTorch.

• Programming languages: python, sql
• Data cleaning, wrangling, and preprocessing: pandas, polars, matplotlib
• Databases: mysql, sqlite
• Configurations and Experiments: yaml, json, hydra, tensorboard, loguru
• Machine Learning and AI: sklearn, torch, numpy, tensorflow, huggingface, transformers
• Backend Development: flask, fastapi
• DevOps and Deployment: docker, git, REST, bash

I'm currently developing an end-to-end bioinformatics pipeline designed to give researchers and clinicians a complete genomic picture of novel phages. To this end, I'm working on the following:

• Data cleaning, wrangling, and preprocessing: spark, airflow
• Programming languages: go, rust

I will release more details on this in due time.