My name is Shariar (/ʃɑːriˈɑːr/ 🔊). I am currently working on using interpretability methods for AI safety and reliability. I am particularly interested in how LLMs’ behavior evolves over longer contexts, how their internal mechanisms can be made interpretable, and how we can validate them causally through targeted interventions.

I am actively seeking PhD and Fellowship opportunities in AI safety, interpretability, and reliability. If our research interests align, or you’d like to collaborate, please feel free to reach out !

In Spring 2026, I joined SPAR to work on real-time automated mechanistic interpretability methods for AI safety, under the mentorship of Sriram Balasubramanian.

Previously, I was a research intern at the NLP Lab in UC Riverside, under Prof. Yue Dong, where I was also fortunate to work with Prof. Kevin Esterling. I worked on behavioral evaluation of LLMs, and explored how psychometric and Bayesian modeling techniques can quantify and explain complex social behaviors in LLMs.

Prior to that, I led the AI Research and Engineering team at Celloscope Ltd. I worked on inclusive AI systems for low-resource languages, including Bengali medical ASR and document understanding tools.

I hold a BSc and MSc in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET). During my academic career I worked extensively on cloud computing and distributed systems, under the supervision of Prof. Muhammad Abdullah Adnan.

📰 News

• [5/26/2026] 🎉 My paper Circuit Oracle: Automating Attribution Graph Analysis via Natural-Language Queries has been accepted as a poster at the Compositional Learning: Safety, Interpretability, and Agents workshop @ ICML 2026!
• [3/26/2026] 🎉 My paper PReSS: An Automated Black-Box Framework for Evaluating Political Stance Stability in LLMs has been accepted at PoliticalNLP @ LREC-COLING 2026.
• [2/7/2026] 🥳🎉 I’ve been accepted to SPAR Spring 2026, where I’ll be working on real-time automated interpretability methods for AI safety, mentored by Sriram Balasubramanian.
• [12/23/2025] 🎉 My paper AgnoSVD: Dynamic Resource Allocation for Serverless Workloads using Collaborative Filtering has been published in the journal Array.
• [14/11/2025] 📢 My paper When Models Refuse: Political Steerability and Feature Richness as Measures of Ideological Depth is available on arXiv.
• [4/25/2025] 📢 My paper Do Words Reflect Beliefs? Evaluating Belief Depth in Large Language Models is available on arXiv.
• [9/22/2024] 🏆 Our solution AmarDoctor was selected at the 2024 Global Health Equity Challenge.
• [6/16/2024] 📢 The preprint of my work on Automatic Speech Recognition for Biomedical Data in Bengali Language is available on arXiv.
• [10/11/2023] 🎉 Our paper SynthNID: Synthetic Data to Improve End-to-end Bangla Document Key Information Extraction has been accepted at the BLP workshop at EMNLP 2023.