Hello!
I am an AI/ML Software Engineer and Applied Researcher specializing in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). With an M.Tech in CSE with a specialization in Artificial Intelligence and hands-on experience in end-to-end ML development, I bridge the gap between cutting-edge AI research and production-ready industrial applications.
- Location: Galway, Ireland (Open to Relocate)
- Legal Status: Stamp 1 (Stamp 4 Under Processing)
- Work Preference: On-site, Hybrid, or Remote
Work Experience
Insight Research Ireland Centre for Data Analytics, University of Galway | Sep 2024 - Present
- Developed and deployed Multi-Agent Systems for automatic medical claim approval using PydanticAI, Python, RAG, LLaMA3, PostgreSQL, and Microsoft Azure. .
- Developed an NLP system to extract key entities, topics, and relationships from various documents (PPT/Images/PDFs) using state-of-the-art open-source LLMs (Mistral-7B, LLaMA3) and Vision-Language models (Pixtral-11B), improving accuracy to 90%.
- Owned technical delivery by containerizing ML models with Docker and deploying them as scalable REST APIs on Microsoft Azure cloud infrastructure.
- Published research papers at top AI conferences and workshops (SIGIR, ICLR, ECIR).
National Institute of Informatics (NII Japan) | Mar 2024 - Apr 2024
- Engineered a novel Semantic Frame Aggregation-based Transformer to automate live comment generation from streaming videos.
- Outperformed state-of-the-art baselines, achieving a 4% performance improvement in Recall@1 on the LiveChat dataset.
- Work published in the Q1 journal IEEE Transactions on Multimedia (Impact Factor: 9.7)
Education
-
M.Tech in CSE (Artificial Intelligence)
Indraprastha Institute Of Information Technology Delhi (IIIT Delhi) | Aug 2022 - June 2024
GPA: 8.27 / 10.00 -
B.E in Computer Engineering
Gujarat Technological University (GTU) | Aug 2017 - June 2021
GPA: 9.32 / 10.00
Technical Skills
- Multi-Agent Systems & Agentic Workflows: Pydantic AI, LangChain, LangGraph
- Enterprise RAG Pipelines & Vector Databases: Pinecone, ChromaDB, FAISS
- Open-Source LLM Fine-Tuning & Alignment: Deepseek, Qwen, Mistral, LLaMA3, RLHF/PPO/DPO
- LLMs APIs: OpenAI, Claude, Groq, Deepseek, Openrouter, LLaMA
- End-to-End ML Deployment: Docker, Microsoft Azure, PySpark, CI/CD pipelines, Flask REST APIs
Publications
TopoBench: Benchmarking LLMs on Hard Topological Reasoning
Mayug Maniparambil, Nils Hoehing, , Arjun Karuvally, Ellen Rushe, Anthony Ventresque, Noel O'Connor, Fergal Reid
Logical Reasoning of LLMs @ ICLR 2026
Preprint
A Progressive Evaluation Framework for Multicultural Analysis of Story Visualization
, Ali Hatami, Paul Buitelaar
Arxiv Preprint 2025
paper
Enhancing Scientific Visual Question Answering via Vision-Caption aware Supervised Fine-Tuning
, Anwar Dilawar Shaikh, Arnav Goel, Medha Hira, Apoorv Singh, Jay Saraf, Sanjana Sanjeev, Vaibhav Nauriyal, Avinash Anand, Zhengkui Wang, Rajiv Ratn Shah
LAVA @ ACM Multimedia 2025
paper
Semantic Frame Aggregation-based Transformer for Live Video Comment Generation
Anam Fatima, Yi Yu, , Julien Lalanne, Jainendra Shukla
IEEE Transaction on Multimedia 2025
paper
Exploring the Role of Diversity in Example Selection for In-Context Learning
, Manit Kaushik, Debasis Ganguly, Sumit Bhatia
SIGIR 2025 | Special Interest Group on Information Retrieval
paper
FlintstonesSV++ : Improving Story Narration using Visual Scene Graph
, Paul Buitelaar
Text2Story @ ECIR 2025 | European Conference on Information Retrieval
paper
Spiritual-LLM : Gita Inspired Mental Health Therapy In the Era of LLMs
, Aman Singh, Jainendra Shukla, Rajiv Ratn Shah
Arxiv Preprint 2025 | Under Review
paper
MM-PhyQA: Multimodal Physics Question-Answering with Multi-image CoT Prompting
Avinash Anand , Apoorv Singh, Jay Saraf, Naman Lal, Astha Verma, Rushali Gupta & Rajiv Shah
PAKDD 2024 | Pacific-Asia Conference on Knowledge Discovery and Data Mining
paper
Deep Learning Based Named Entity Recognition Models for Recipes
Mansi Goel*, Ayush Agarwal*, Shubham Agrawal*, , Akhil Vamshi Konam*, Rishabh Gupta, Shrey Rastogi, Niharika Niharika, Ganesh Bagler | (*Equal Contribution)
LREC-COLING 2024 | Joint Int. Conference on Computational Linguistics, Language Resources and Evaluation
paper
Mentorship & Leadership
- Winter 2024: Teaching Assistant for CSE508: Information Retrieval (IIIT-Delhi)
- Monsoon 2022: Teaching Assistant for CSE201: Advance Programming (IIIT-Delhi)
Template: Ashish Sharma