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aryasuneesh/README.md

Model Card for Arya Suneesh

NLP Engineer · Student Researcher · IIIT Kottayam


Model Description

Research-oriented NLP Engineer working at the intersection of large language models, multilingual systems, and human-AI interaction. Focused on building systems that generalize across languages and modalities — from fine-tuning LLMs to multimodal fake news detection to conversational AI for underrepresented language communities.


Model Sources

📄 Google Scholar Publications
💼 LinkedIn arya-suneesh
🐦 Twitter / X @arya_suneesh
✍️ Medium @aryasuneesh

Training Data

  • Institution: Indian Institute of Information Technology, Kottayam (IIIT Kottayam)
  • Field: Machine Learning · Natural Language Processing
  • Training Duration: ~2 years of hands-on NLP/ML research and engineering

Uses

Direct Use

This model performs reliably on the following tasks:

  • 🤖 LLM fine-tuning and instruction tuning
  • 🌐 Multilingual and cross-lingual NLP
  • 🖼️ Multimodal systems (vision + language)
  • 💬 Conversational AI for low-resource and multilingual settings
  • 🧠 Human-AI interaction research
  • ✅ Fact-checking, claim verification, and subjectivity detection

Out-of-Scope Use

Frontend development. CSS. Anything requiring a designer's eye.


Benchmarks

Publications

Title Venue Year
QCNN-MFND: A Novel Quantum CNN Framework for Multimodal Fake News Detection IJCNLP-AACL 2025
Multilingual Conversational AI for Financial Assistance: Bridging Language Barriers in Indian FinTech CIKM 2025 2025
Reasoning-Guided Claim Normalization for Noisy Multilingual Social Media Posts CLEF 2025 2025
TIFIN India at SemEval-2025: Harnessing Translation to Overcome Multilingual IR Challenges SemEval ACL 2025 2025
TIFIN at CheckThat! 2025: X-VERIFY Multi-lingual NLI-based Fact Checking CLEF 2025 2025
TIFIN at CheckThat! 2025: Cross-lingual Subjectivity Classification CLEF 2025 2025

Honours Thesis


Known Limitations

  • ko, de, fr language support is experimental — outputs are limited to basic phrases; active fine-tuning in progress
  • Frontend tasks consistently return degraded performance

How to Get Started

inference_api = "aryasuneesh3@gmail.com"

Open to research collaborations, interesting NLP problems, and conversations about multilingual AI.

Platform
📧 Email aryasuneesh3@gmail.com
💼 LinkedIn arya-suneesh
🐦 Twitter / X @arya_suneesh
📷 Instagram @arya_suneesh

Citation

@person{suneesh2025arya,
  name        = {Arya Suneesh},
  role        = {NLP Engineer, Student Researcher},
  institution = {IIIT Kottayam},
  focus       = {LLMs, Multilingual AI, Multimodal NLP, Human-AI Interaction},
  contact     = {aryasuneesh3@gmail.com},
  scholar     = {https://scholar.google.com/citations?user=0tq3v-4AAAAJ}
}

Pinned Loading

  1. ibm-quantum-challenge-2024 ibm-quantum-challenge-2024 Public

    Forked from qiskit-community/ibm-quantum-challenge-2024

    For IBM Quantum Challenge 2024 (5-14 June 2024)

    Jupyter Notebook

  2. J0URN3Y J0URN3Y Public

    Python