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Viswonathan06/README.md

👋 Hi there, I'm Viswonathan Manoranjan!

🎓 M.S. in Computer Science @ UNC Chapel Hill | 🧠 Fairness-Aware ML & LLM Alignment Researcher
📍 Chapel Hill, NC
📫 vmanoran@cs.unc.edu

👨‍💻 About Me

I'm a Master's student in Computer Science at UNC Chapel Hill, with a strong background in fairness-aware machine learning, bias mitigation, and large language model alignment. My research focuses on developing fair and robust ML systems, with particular emphasis on bias mitigation in personality computing and multi-modal learning.

  • 🎓 M.S. in Computer Science – UNC Chapel Hill (2025-2027) | B.S. in CSE – NIT Tiruchirappalli (2019-2023)
  • 🔬 Former Research Assistant at NYU – Focused on bias mitigation in personality computing and fairness in multi-modal ML
  • 💼 Former Software Engineer at Wells Fargo – Built GenAI-powered tools and scalable microservices

🏢 Experience

  • University of North Carolina at Chapel Hill – M.S. Student (Aug 2025 - May 2027)
  • Wells Fargo – Software Engineer (Aug 2023 - Jul 2025)
  • New York University – Research Assistant (May 2021 - Dec 2022)

🧪 Research & Publications

📚 Google Scholar

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

  • AUTOMATA'23
    "Optimized Reversible Cellular Automata Based Clustering"
    Manoranjan, V., Sneha Rao, G., Vaidhianathan, S.V., Bhattacharjee, K.

  • ACM MM MRAC '23
    "Generalised Bias Mitigation for Personality Computing"
    Jian Jiang, Viswonathan Manoranjan, Hanan Salam, and Oya Celiktutan

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

🏆 Certifications

  • Microsoft: AI-900 (Azure AI Fundamentals), AZ-900 (Azure Fundamentals)
  • Google Cloud: Cloud Digital Leader
  • Coursera: Deep Learning Specialisation

💬 Let's Connect!

🧠 “Striving to build AI systems that are fair, generalizable, and impactful.”

Pinned Loading

  1. 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

  2. hyper-personalization hyper-personalization Public

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

    JavaScript

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

    PureBasic 4 1

  4. 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

  5. Multi-person-Pose-Detection Multi-person-Pose-Detection Public

    This Python program detects individual people from a video frame using YOLO, crops the frame, and passed the frame through Mediapipe pose detection to get the coordinated of the individual people.

    C 2

  6. Monocular-Depth-Estimation Monocular-Depth-Estimation Public

    An application that generated depth maps from monocular images for autonomous EVs

    Jupyter Notebook