(WEBSITE UNDER CONSTRUCTION)
Welcome to my corner of the web. I’m Pratinav Seth, a data science student and aspiring AI researcher, passionate about using technology to tackle real-world challenges.
As I approach the end of my undergraduate studies at Manipal Institute of Technology, I’ve had the privilege of working on projects in computer vision, deep learning, and natural language processing. From addressing climate change to improving healthcare, I’m continually inspired by AI’s potential to make a positive impact.
My internships at Mila Quebec AI Institute, Bosch Research, and KLIV Lab IIT Kharagpur have been invaluable, teaching me how much there is to learn in this rapidly evolving field. I’m grateful for the mentors and collaborators who’ve guided me, and for the opportunities to contribute to research in areas such as: using satellite imagery to detect abandoned oil wells, enhancing autonomous driving systems, incorporating domain knowledge in neural networks for medical image analysis, and analyzing the Explainability of modern deep neural networks.
Recently, I have been developing NLP solutions for agricultural query resolution and exploring multi-modal model architectures for super-resolution and segmentation in a parameter-efficient manner, with applications across various domains.
A significant part of my journey has been shaped by my involvement in student organizations at Manipal. As a researcher with Mars Rover Manipal, I have worked on diverse problem statements, co-led a AI research group, and mentored undergraduate students. Co-founding The Data Alchemists allowed me to share my passion for AI and data science with fellow students. As Co-President of the Research Society, I’ve worked to foster a culture of undergraduate research across various technical domains.
While I’m proud of my accomplishments, including publications at AI conferences 
I created this site to share my projects and experiences, hoping they might be useful to fellow students or anyone curious about AI’s applications. I’m always eager to learn from others and explore new ideas in this fascinating field.
Thank you for stopping by. I hope you find something interesting here, and I welcome any thoughts or questions you might have.
(PS : Open to Full-Time Role in Machine Learning, Data Science, and AI Research and Research Colaboratorions)
🔥 News
- 2024.06: 🎉 AgriLLM accepted to KDD UC-24!
- 2024.02: 🎉 Sailing Through Spectra accepted to ICLR Tiny Papers!
- 2024.01: 🎉🎉 Started my Internship (as a part of my Bachelor Thesis) at Mila Quebec AI Institute (Remotely).
- 2023.12: 🎉🎉 Does the Fairness of Your Pre-Training Hold Up? accepted to WACV Pretrain Workshop as Oral!
- 2023.11: 🎉 RSM-NLP at BLP-2023 Task 2 accepted to Bangla Language Processing Workshop @ EMNLP 2023
📝 Publications
CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution
Aditya Kasliwal, Pratinav Seth, Sriya Rallabandi, Sanchit Singhal
LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract)
Aditya Kasliwal, Aryan Kamani, Ishaan Gakhar, Pratinav Seth, Sriya Rallabandi
AgriLLM: Harnessing transformers for farmer queries.
Krish Didwania (†), Pratinav Seth (†), Aditya Kasliwal, Amit Agarwal
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Performance Evaluation of Deep Segmentation Models for Contrails Detection, Akshat Bhandari, Sriya Rallabandi, Sanchit Singhal, Aditya Kasliwal, Pratinav Seth, Tackling Climate Change with Machine Learning Workshop at NeurIPS 2022. Citations
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Sailing Through Spectra: Unveiling the Potential of Multi-Spectral Information in Marine Debris Segmentation, Dyutit Mohanty, Aditya Kasliwal, Bharath Udupa, Pratinav Seth, The Second Tiny Papers Track at ICLR 2024. Citations
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ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation, Aditya Kasliwal, Sankarshanaa Sagaram, Laven Srivastava, Pratinav Seth, Adil Khan, 9th Edition of the Brain Lesion (BrainLes) workshop, MICCAI 2023. Citations
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UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection, Pratinav Seth, Adil Khan, Ananya Gupta, Saurabh Kumar Mishra, Akshat Bhandhari, Medical Imaging meets NeurIPS Workshop, NeurIPS 2022. Citations
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UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts, Pratinav Seth (†), Mihir Agarwal (†), 1st Tiny Paper Track at ICLR 2023. Citations
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Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data, Kumud Lakara (†), Akshat Bhandari (†), Pratinav Seth (†), Ujjwal Verma, Bayesian Deep Learning Workshop, NeurIPS 2021. Citations
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SSS at SemEval-2023 Task 10: Explainable Detection of Online Sexism using Majority Voted Fine-Tuned Transformers, Sriya Rallabandi, Sanchit Singhal, Pratinav Seth, Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), ACL 2023 Citations
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RSM-NLP at BLP-2023 Task 2: Bangla Sentiment Analysis using Weighted and Majority Voted Fine-Tuned Transformers,Pratinav Seth, Rashi Goel, Komal Mathur, Swetha Vemulapalli, Proceedings of the 1st Workshop on Bangla Language Processing (BLP 2023), EMNLP 2023 Citations
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HGP-NLP at Shared Task: Leveraging LoRA for Lay Summarization of Biomedical Research Articles using Seq2Seq Transformers,Hemang Malik,Gaurav Pradeep,Pratinav Seth, Accepted at BioNLP 2024 Workshop, ACL 2024. Citations
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Analyzing Effects of Fake Training Data on the Performance of Deep Learning Systems,Pratinav Seth (†), Akshat Bhandari (†), Kumud Lakara (†), Pre-Print Citations
💻 Past Experiences
- 2024.01 - 2024.06, Research Intern, Mila Quebec AI Institute, Remote.
- 2021.03 - 2024.01, Researcher, Mars Rover Manipal, Remote.
- 2023.12 - 2024.01, Research Colaborator, with Dr. Amit Agarwal (Wells Fargo), Remote.
- 2022.05 - 2023.12, Research Intern, KLIV IIT Kharagpur, Remote.
- 2023.06 - 2023.10, Computer Vision Research Intern (Student Trainee), Bosch Corporate Research, Robert Bosch Research and Technology Center India, Bangalore, India.
- 2023.04 - 2023.12, Research Assistant under Dr. Abhilash K. Pai, Dept. of DSCA, MIT MAHE, Remote.
- 2022.09 - 2023.09, Co-President & Mentor AI Research, Research Society MIT Manipal, Remote.
- 2022.11 - 2023.08, Co-founder & Head of Artificial Intelligence, The Data Alchemists, Remote.
- 2022.10 - 2023.03, Research Colaborator, IIT Roorkee, Remote.
- 2022.06 - 2022.09, Research Assistant under Dr.Vidya Rao & Dr. Poornima P.K., Dept. of DSCA, MIT MAHE, Remote.
- 2022.03 - 2022.05, Machine Learning Intern, Eedge.ai, Remote.
- 2022.01 - 2022.02, Data Science (NLP) Intern, CUREYA, Remote.
🎖 Honors and Awards
- 2023.02 One of the 11 Undergraduates Selected as an AAAI Undergraduate Consortium Scholar. Included a Travel Grant of $2000 to present at AAAI-23 at Washington DC, USA.
- 2023.01 Received MAHE Undergraduate Research Grant Worth 10K INR for Project : Explainable & Trustworthy Skin Lesion Classification under Dr. Abhilash K. Pai, Dept. of DSCA, Manipal Institute of Technology, MAHE.
📖 Educations
- 2020.10 - 2024.07, Bachelors of Technology in Data Science & Engineering (B.Tech), Manipal Academy of Higher Education, Manipal, Karnataka, India.
💬 Invited Talks
- 2024.03, Introduction to Research, at ACM-W Manipal Chapter.
- 2024.02, Data Dialogue invited by The Data Alchemists, The Official Data Science Club of MIT Manipal. | [link]