Contact Information
Email: mrinaltyagi24@gmail.com
LinkedIn: Mrinal Tyagi
Medium: mrinaltyagi24
GitHub: MrinalTyagi
Education
- Master of Science in Research (CSE)
IIT Delhi, New Delhi, India (2024 - Present) - Bachelor of Technology (ECE)
Bharati Vidyapeeth’s College of Engineering, New Delhi, India (2019 - 2023) - GPA: 8.41
Skills Summary
Languages: C, C++, Python, Swift, MySQL
Tools: Git, XCode, Jupyter Notebook, VSCode, Sublime, AWS
Libraries/Frameworks: PyTorch, Tensorflow, Plotly, Scikit Learn, OpenCV, Pandas, PyQt5, MongoDB, Flask
Key Concepts: Problem Solving, Data Structures & Algorithms, Statistics, Probability, Linear Algebra, Operating System
Experience
Project Scientist
IIT Delhi, New Delhi, India (Feb 2024 - Present)
Working on video instance segmentation for surgical videos.
Advised by: Prof. Chetan Arora
Co-advised by: Prof. Prem Kumar Kalra
Jr. Project Assistant
IIT Delhi, New Delhi, India (Nov 2023 - Feb 2023)
Developed a new flow consistent augmentation technique for temporal action segmentation, accepted at MICCAI 2024.
Advised by: Rohan Raju Dhanakshirur, Prof. Chetan Arora
Co-advised by: Prof. Prem Kumar Kalra
Research Intern
IIT Delhi, New Delhi, India (April 2023 - Oct 2023)
Developed suturing evaluation software for medical institutes.
SDE Intern
Zomato, Gurugram, India (Jan 2022 - July 2022)
Worked on the Dining Module for iOS, enhancing UX and SEO features, resulting in a 4.8% increase in revenue.
Data Science Intern
Innomatics Research Labs, Remote (April 2021 - July 2021)
Worked on statistical modeling, hypothesis testing, and a music recommendation system.
Publications and Conferences
- Custom Weighted Balanced Loss Function for COVID-19 Detection from an Imbalanced Dataset
26th International Conference on Pattern Recognition, Montreal, Canada
Manuscript | GitHub - SVD-CLAHE Boosting and Balanced Loss Function for COVID-19 Detection from an Imbalanced Chest X-Ray Dataset
Computers in Biology and Medicine (Elsevier Q1)
Manuscript | GitHub - A Transformer-based Approach for Abuse Detection in Code Mixed Indic Languages
ACM Transactions on Asian and Low Resource Language Information Processing
Manuscript
Projects
- COVID-19 Vaccine Prioritizer using Clustering - GitHub
Developed a data-driven tool using KMeans clustering to prioritize COVID-19 vaccine distribution across Indian districts. - Neural Network from Scratch in Swift - GitHub
An interactive playground for beginners explaining neural networks using Swift. - Other Projects
Employed HAAR Cascade, Single Shot Detector (SSD), and Segmentation models on multiple datasets.
Open Source Contributions
- TensorFlow: Added a new hyperparameter beta in the swish activation function.
- Scikit-Learn: Code cleanup for various sections including GridSearchCV, HalvingSearchCV, and other test fixes.
- Hugging Face: Code optimization in forward pass of inference.
- Keras CV: Documentation cleanup and addition of YOLOv7 in the applications section.
Extra Activities
- Kaggle Expert:
Datasets Expert (Rank 71/71,194), Notebook Expert (Rank 264/238,257), Discussion Expert (Rank 500/308,227) - Medium Writer: Published articles on topics such as HOG (Histogram of Oriented Gradients), Viola Jones Algorithm, Image Segmentation, and more.