Sunayna Padhye
M.Tech (Research Assistant)
Artificial Intelligence and Machine Learning
IIT Hyderabad, India
Graduating in June 2026
Passionate about developing cutting-edge machine learning solutions in computer vision and medical image analysis. Specializing in deep learning architectures for real-world applications.
Research
Exploring the intersection of AI, computer vision, and medical imaging
Temporal Understanding in Long Videos
ongoingWorking on advanced techniques for temporal understanding in long-form video content using adaptive memory methods.
Rel-SA: Alzheimer's Disease Detection using Relevance-augmented Self Attention by Inducing Domain Priors in Vision Transformers
CVPR 2025W XAI4CV
Key Contributions:
- Hybrid CNN-ViT architecture for brain sMRI T1-weighted data analysis
- Domain-aware attention mechanism using brain atlases
- Trustworthy model interpretations with attention heatmaps
- Leave-one-out and Reverse strategy analysis
Detecting Alzheimer's disease with Efficient ViTs
ISMRM 2025 India Chapter
Education
My academic journey in computer science and artificial intelligence
M.Tech RA in Artificial Intelligence and Machine Learning
Indian Institute of Technology Hyderabad
- •Research Assistant
- •Teaching Assistant for Deep Learning
- •Focus on Computer Vision and Medical Image Analysis
Reliance Foundation PG Scholar
IIT Hyderabad
- •Full scholarship for postgraduate studies
- •Partial funding for participation in Research Conferences
B.Tech in Computer Science and Engineering
Medi-Caps University, Indore
- •Focus on Data Engineering
- •Minor Projects in CV and NLP
Senior Secondary School
Shri Guru Tegh Bahadur Academy, Ratlam
- •Science Stream with Informatics Practices
Secondary School
Kendriya Vidyalaya Ratlam
- •Participation in Olympiads, Speech Competitions, Anchoring
Experience
Internships and Experiences in technology
Mentee
Micron's Global Women Mentorship Program 2025
Explored the manufacturing process of hardware components from wafers at the onsite facility in Hyderabad
- •Discussed how the company is working for the future of AI
- •Career development and technical guidance
- •Networking with industry professionals
Problem Setter & Technical Content Reviewer Intern
Scaler
Contributing to educational content on database management
- •Created and managed SQL scripts for educators of Scaler Academy for DBMS course
- •Reviewed 25+ published technical articles and 12+ novel articles
- •Ensured quality and accuracy of educational content
Native Engineering Intern
Bobble AI
Worked on core engineering projects for mobile applications
- •Created a JSON library from scratch for internal use
- •Worked on a predictive dictionary for faster word access for real-time typing
- •Learned OpenGL, OpenCV, Mediapipe, Bazel for facemesh generation
Projects
Technical projects showcasing my skills in AI and machine learning
CBC & DBC Report Generation using Blood Cell Samples
Automated blood cell analysis system for medical diagnostics
Key Features:
- •Used image processing techniques for finding RBC count in blood cell samples
- •Used Hough Transform & blob techniques to segment out WBCs from samples
- •Compared segmentation with YOLOv5s and YOLOv5l models
+2 more features...
Newsworthy: Automated News Categorizer
ML-based news categorization system (Minor Project)
Key Features:
- •Application of text classification using machine learning algorithms
- •Learned natural language processing techniques like tokenization and stemming
- •Implemented various classification algorithms for comparison
Achievements
Recognition and accomplishments in academics and programming
AIR 983 in GATE CS/IT 2023
Score: 626
National Exam5 Star on HackerRank
C++ Programming
Coding PlatformCommunity Engagement
Active participation in conferences, competitions, and tech events
ICVGIP 2024
ConferenceIndian Conference on Computer Vision, Graphics and Image Processing
NCVPRIPG 2024
ConferenceNational Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics
Capture the Flag 2024
CompetitionAnchored in final round
Organized by: IIT Bombay and HSBC
ICVGIP 2023
ConferenceIndian Conference on Computer Vision, Graphics and Image Processing
Aarambh-2020
Event OrganizationPlanned and executed virtual-tech-fest as team lead at MIIC
Positions of Responsibility
Leadership roles and teaching experiences throughout my academic journey
Head Teaching Assistant
Deep Learning Course - IIT Hyderabad
Jan 2025 - May 2025
Leading the TA team for the Deep Learning course
Instructor
DRDO (CVRDE) Scientists Training
July 2024
Conducted a 3-day hands-on session on RNN, LSTM, CNNs, Object detection for DRDO scientists
Teaching Assistant
Deep Learning Course - MDS Program, IIT Hyderabad
Jan 2024 - May 2024
Assisted in teaching Deep Learning to MDS program students
President - Student Team
MIIC - Medi-Caps Innovation and Incubation Center
Aug 2021 - Sept 2022
Worked with student start-ups closely & ensuring equal and active participation of all team members. Organized 4-day event under World Entrepreneurship Week (with 50+ team members)
Vice President - Student Team
MIIC
Apr 2021 - Jul 2021
Assisted in managing student teams and organizing events
Recruitment Head
MIIC
Dec 2020 - Mar 2021
Led recruitment drives for student team expansion
Content Writing Head
MIIC
Jul 2020 - Mar 2021
Managed content creation and documentation for the center
Hobbies & Interests
Activities that keep me balanced and inspired
Anchoring
Hosting and presenting at various events and competitions
Swimming
I'm a weekend mermaid
Travelling
Exploring new places and experiencing different cultures
Let's Connect
I'm always interested in discussing AI research, collaborations, and opportunities in machine learning and computer vision.
Get in Touch
Feel free to reach out for research discussions, academic collaborations, or just to say hello!