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Aadya Arora
Final-year undergraduate at the Indian Institute of Technology Gandhinagar,
majoring in Electrical Engineering with a Minor in Artificial Intelligence.
My research spans Machine Learning, Computer Vision, Generative AI, and Diffusion Models.
Incoming Data Scientist at Microsoft IDC (2026).
I have worked on projects at IISc Bangalore, IIT Hyderabad, University of Bath, and Microsoft IDC,
focusing on medical imaging, diffusion transformers, document AI, and autonomous driving.
Email /
Google Scholar /
GitHub /
LinkedIn /
Website
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Education
- B.Tech. Electrical Engineering, IIT Gandhinagar (2022–Present), CGPA: 8.5
- Senior Secondary, Delhi Public School R.K. Puram, New Delhi (2022), 94%
- Secondary, Holy Child School, New Delhi (2020), 97%
Publications
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Battery Chemistry Recommendation using Machine Learning
Aadya Arora, Prof. Pallavi Bhardwaj
IEEE IAS Journal (under review), 2025
Developed TEMPEST, an LSTM framework to predict internal battery temperature and recommend optimal chemistry.
GitHub
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MedFocusCLIP: Improving Few-Shot Classification in Medical Datasets
Aadya Arora, Vinay Namboodiri
ICASSP 2025
Integrated SAM2 with CLIP to improve few-shot classification across medical datasets.
Achieved significant gains and enabled interpretable classification.
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WavShadow: Wavelet-Based Shadow Segmentation and Removal
Aadya Arora, Shanmuganathan Raman
ICVGIP 2024
Designed wavelet-enhanced shadow segmentation and removal pipeline, achieving state-of-the-art performance.
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Work Experience
- Incoming Data Scientist, Microsoft IDC (June 2026)
- Data Science Intern, Microsoft IDC (May–Jul 2025)
Built a fine-tuned LLM pipeline for automating PowerPoint formatting commands from natural language queries.
Optimized structured data preparation, evaluation, and improved query handling.
Internships
- IISc Bangalore (Dec 2024–Present)
Layer-wise analysis of Diffusion Image Transformers (DITs) for image editing and representation learning.
- University of Bath (May–Jul 2024)
Open Vocabulary Few-Shot Segmentation with HIPIE adapters; achieved mIoU 85.1 on RefCOCO(+).
- IIIT Hyderabad & IIT Hyderabad (Dec 2023–Jan 2024)
Developed robust object detection pipelines for autonomous driving on Indian roads.
Selected Projects
- NextCharacterPredictor (Mar–Apr 2024) – MLP-based next character prediction model.
GitHub
- Human Activity Recognition (HAR) (Jan–Feb 2024) – Classified 6 activities using UCI-HAR dataset.
GitHub
- Data Narrative (Jan–Apr 2023) – Statistical analysis and data visualization across multiple datasets.
Skills
- Programming: Python, C, C++
- Tools: MATLAB, PyTorch, TensorFlow, OpenCV, Jupyter, Git
- Deep Learning: CNNs, ViT, SAM, CLIP, DeepLabv3+, Diffusion Transformers
Positions of Responsibility
- Management Coordinator: Professional Development Council (Aug ’25 – Ongoing)
- Teaching Assistant: Probability & Statistics (Jan ’25 – Apr ’25), Machine Learning (Aug ’24 – Nov ’24)
- Coordinator: Career Guidance, PDC IITGN (Aug ’24 – Apr ’25)
- Student Guide: Student Support Services (Aug ’23 – Apr ’24)
- PR & Design Executive: Blithchron Cultural Fest (Nov ’22 – Mar ’24)
Achievements
- Microsoft Pre-Placement Offer – Data Scientist
- Invited to Microsoft Research India Academic Summit 2025
- JEE Advanced 2022 – AIR 9406
- KVPY (SX) – Selected in Extended List
- Mathematics – Secured A-/A grade in all courses at IITGN
- Delhi State-Level Handball Player
- School Topper (Class X), Silver Medalist (Class XII)
- Certified Teaching Assistant at IITGN
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