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Viswonathan06/README.md

Viswonathan Manoranjan

Researcher · Engineer · LLM Alignment & AI Fairness

Email Google Scholar LinkedIn Website

M.S. Computer Science · UNC Chapel Hill · Chapel Hill, NC

About

I'm a researcher and engineer working at the intersection of LLM alignment, AI fairness, and multi-agent systems. I'm currently a visiting researcher at UT Austin collaborating with Prof. Desmond Ong on sycophancy and empathy in LLMs, and previously a Research Assistant at the Society-Centered AI Lab (UNC Chapel Hill) under Dr. Neil Gaikwad.

Research interests

Publications

When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems
ACM FAccT 2026

Towards Generalised and Incremental Bias Mitigation in Personality Computing
Jian Jiang, Viswonathan Manoranjan, Hanan Salam, Oya Celiktutan
IEEE Transactions on Affective Computing, 2024

Generalised Bias Mitigation for Personality Computing
Jian Jiang, Viswonathan Manoranjan, Hanan Salam, Oya Celiktutan
ACM Multimedia MRAC Workshop, 2023

Learning Personalised Models for Automatic Self-Reported Personality Recognition
Hanan Salam, Viswonathan Manoranjan, Jian Jiang, Oya Celiktutan
PMLR Vol. 173, 2022

Optimized Reversible Cellular Automata Based Clustering
Manoranjan V., Sneha Rao G., Vaidhianathan S.V., Bhattacharjee K.
AUTOMATA 2023

Experience

Visiting Researcher · UT Austin (May 2025 – present)
Sycophancy and empathy in LLMs

Research Assistant · Society-Centered AI Lab, UNC Chapel Hill (Aug 2025 – May 2026)
Multi-agent LLM governance, AI fairness, under Dr. Neil Gaikwad

Software Engineer · Wells Fargo (Aug 2023 – Jul 2025)
GenAI-powered tooling and scalable microservices

Research Assistant · NYU (May 2021 – Dec 2022)
Fairness and bias mitigation in personality computing, advised by Dr. Hanan Salam

Education

M.S. Computer Science · UNC Chapel Hill (2025 – 2027)
B.S. Computer Science & Engineering · NIT Tiruchirappalli (2019 – 2023)

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  1. shard-self-reframing shard-self-reframing Public

    Introducing SHARD, a self-reframing distillation method to improve safe-helpfulness. It first rewrites sensitive prompts to surface benign intent using philosophical guidelines, then reframes its …

    Shell

  2. EEGo-UNC/MuseTetris EEGo-UNC/MuseTetris Public

    A Tetris game that adapts the difficulty to your emotions by using your Muse EEG headset.

    Python

  3. Omniverse-Scene-Optimizer Omniverse-Scene-Optimizer Public

    Omniverse Kit extension for automated USD scene optimization with before/after metrics tracking. Reduces memory usage by 37.6% through duplicate mesh merging and material optimization.

    Python 1

  4. hyper-personalization hyper-personalization Public

    A comprehensive platform that leverages artificial intelligence to deliver hyper-personalised financial insights and product recommendations

    JavaScript

  5. SMART-Lab-NYU/ICCVChallenge_PersonalisedModelForPersonalityRecognition SMART-Lab-NYU/ICCVChallenge_PersonalisedModelForPersonalityRecognition Public

    PureBasic 4 1

  6. Reversible-Cellular-Automata-Clustering Reversible-Cellular-Automata-Clustering Public

    This repository contains the files for the final year project on optimisations to clustering using Reversible Cellular Automata.

    Python 2 1