Model Parity Aligner
Label-free framework enabling small VLMs like SmolVLM-500M to learn from large VLMs like Qwen2VL-7B efficiently.
Piyush Arora
I am pursuing an MSc in Computing (AI & ML) at Imperial College London, after earning my B.Tech in Computer Science from IIT Jodhpur. My research focuses on generative and multimodal AI, especially vision-language and diffusion models, with work published at leading venues through international collaborations. Previously, I was an AI Research Engineer at MetaFusion, where I built vision-language models for attribute recognition and scene captioning, and deployed unified traffic detection systems now used across Indian cities. I aim to advance AI research that bridges theory with real-world impact.
Research Interests
- Vision-Language Models (VLMs)
- Large Language Models (LLMs)
- Multimodal Learning
- Generative Modelling
- Bias Mitigation & Fairness
- Efficient AI Systems
Key Milestones
2025 - Present
Imperial College London
MSc in Computing (AI & ML)
2024 - 2025
AI Research Engineer – MetaFusion
Deployed and trained VLMs for traffic analytics across Indian cities
2023
Mitacs GRI – University of Ottawa
Research internship on interpretability in imbalanced learning
2020 - 2024
IIT Jodhpur
B.Tech in Computer Science and Engineering
Recent Highlights
- Oct 2025: Serving as a reviewer at CVPR 2026
- Sep 2025: Began MSc in Computing (AI & ML) at Imperial College London
- Aug 2025: Paper accepted at EMNLP 2025: When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient VQA → see publication
- May 2024: Joined MetaFusion as Computer Vision Research Engineer
- Nov 2023: Paper accepted at WACV 2024: Hybrid Sample Synthesis-Based Debiasing in Limited Data Settings → see publication
Featured Projects
VLMs for Surveillance
Train unified vision-language model for attribute classification and captioning.
Hybrid Sample Synthesis based Debiasing
Novel debiasing approach generating bias-conflicting samples without explicit annotations.
Education
Imperial College London
MSc Computing (AI & ML)Indian Institute of Technology Jodhpur
B.Tech Computer Science and Engineering- All India Rank 3316 (IIT-JEE 2020) among 1.3M applicants
- Mitacs Globalink Research Internship (2023)
- Capstone project published at WACV 2024