Projects

A collection of projects I've worked on, ranging from academic research to personal explorations. If you think it would be useful or interesting to collaborate on a project, please contact me to discuss.

Featured Projects

Scaling Behavior of Chain-of-thought Monitoring

Research Oct 2025- Present

Studying how monitor effectiveness scales with the capability gap between monitor and target models.

Chain of ThoughtSandbaggingInspect AIOpenRouter APIHuggingFace Inference Providers

Code

Replicate Internal Coherence Maximization (ICM) from Wen et. al (2025)

Work Dec 2025

Praxis Project Trial. ICM (unsupervised) elicits human concepts from base language models by maximizing mutual predictability and local consistency among concept-related examples.

PythonReplicationAI SafetyElicitation

Code

Replicate Counterfactual Test for Faithfulness from Atanasova et. al (2023)

Work Dec 2025

Pivotal Fellowship Spring 2026 Project Trial. Evaluate whether language model explanations are faithful by checking if perturbing input features leads to changes in model output and explanations.

PythonReplicationFaithfulness

Code

Mini Llama2 (CMU Advanced NLP)

Personal May 2024

Minimalist Llama2 implementation using PyTorch, exploring LLM components like RoPE, self-attention, and AdamW optimizer.

Large Language Model (LLM)PyTorch

Code

Other Projects

SEACrowd Website

Community Aug 2025 - Dec 2025

Jekyll-based static site from scratch for SEACrowd, grass-root org for Southeast Asian AI research.

JekyllBootstrapJavaScriptSCSS

Code Website

SportConnect

Personal Nov 2025

Event management platform connecting sporty people locally. CodePath Web 103 Project.

TypeScriptReactExpressPostgreSQLTailwindCSSDaisyUIBetterAuth

Code Documentation Website

PWA SeizureSavvy

School Jan 2024 - Apr 2024

Full-stack Progressive Web App for seizure tracking with predictive warnings using XGBoost and LSTM models, built with React and Flask.

Progressive Web App (PWA)ReactFlaskXGBoostLTSMSQLAlchemy

Code Documentation

Ask my Second Brain (Obsidian RAG)

School Nov 2023 - Dec 2023

AI-powered personal knowledge assistant using LlamaIndex and OpenAI API to query Obsidian knowledge base with RAG architecture.

Retrieval Augmented Generation (RAG)PythonLlamaIndexOpenAI

Code Documentation

Synthetic Control Replication and Extension

Research Nov 2023

Replication study of Philadelphia's excise tax impact on beverages using synthetic control methods in R with causal inference.

RrmarkdownCausal InferenceSynthetic ControlReplication

Code Documentation

Bayesian Hierarchical Modeling for GP Visit Count Data

School Nov 2023

Analyze GP visit patterns using Zero-Inflated Poisson models with complete and partial pooling, with Bayesian inference and data imputation.

bayesian modelinghierarchical modelsPyMCmissing data imputationhealthcare analyticsstatistical inference

Code

Text classification using SVM and Naive Bayes

School Sep 2023

Text classification system to automatically classify notes and assignments using SVM and Naive Bayes with 87% accuracy.

statistical machine learningscikit-learnSupport Vector Machine (SVM)Support Vector Classifier (SVC)Naive Bayes

GitHub Activity

My GitHub ↗ contributions over the past year. Colored squares represent days with commits.