
Aayush Gupta
Research Intern

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About me
MS in Computer Science @ UC San Diego | Seeking full-time Software/ML engineer opportunities | Software Developer @ Adobe | B.Tech in Computer Science @ IIT Kharagpur | Software Development | Machine Learning
Education

Indian Institute of Technology, Kharagpur
2015 - 2019Bachelor of Technology Computer Science 9.44/10Coursework- Programming and Data Structures- Algorithms- Software Engineering- Operating Systems- Computer Networks- Database Management Systems- Machine Learning- Deep Learning- Natural Language Processing- Compilers- Computer Organization and Architecture- Data Analytics- Cryptography- Image Processing- Artificial Intelligence- Parallel and Distributed Algorithms- Information Retrieval

UC San Diego
2022 - 2024Master of Science - MS Computer Science 4/4Fall '22CSE 250A - Probabilistic Reasoning and LearningCSE 258 - Recommender SystemsCSE 260 - Parallel ComputationWinter '23CSE 203B - Convex OptimizationCSE 224 - Graduate Networked SystemsResearcher at Prof. Rose Yu's labSpring '23CSE 252D - Advanced Computer VisionCSE 256 - Statistical Natural Language ProcessingCSE 291 - Unsupervised Learning
Experience

Adobe
May 2018 - Jul 2018Research InternProject title: ”Multi-modal learning for brand personality classification”Designed a machine learning model that can extract information from images and text, and determine the brand personality depicted by the input multi-modal content. The model achieved an F1 score of 0.81 on seen brands and 0.62 on unseen brands and is useful for curating multi-modal content to maintain the brand image of a company.

Adobe
Jun 2019 - Sept 2022- Enhanced the ’Edit PDF’ functionality to handle PDF files comprising paragraphs, lists, and images, culminating in the successful launch of reflowable ’Edit PDF’.- Resolved 30+ major release blocker issues in undo‑redo of reflowable edit operations, ensuring a high‑quality user experience in undo‑redo workflows.- Ensured compliance of the Scan feature in Acrobat with screen readers, thereby enhancing accessibility for users with impaired vision.- Migrated components to 64‑bit architecture, resulting in the successful release of the 64‑bit version of Acrobat.- Worked in an agile environment to deliver solutions on time and with efficiency. Show less
Computer Scientist (Software Developer 3)
Feb 2022 - Sept 2022Software Developer 2
Jul 2020 - Feb 2022Software Developer
Jun 2019 - Jul 2020

UC San Diego
Jan 2023 - Mar 2024Developing deep learning models to automatically generate intra-cellular signals from extra-cellular signals associated with heart muscle cells. The current model achieves an MSE of 0.003 on a custom dataset and such models can aid in efficiently detecting the risk of proarrhythmia in heart patients.
Graduate Teaching Assistant
Jan 2024 - Mar 2024Graduate Student Researcher
Jan 2023 - Feb 2024
Licenses & Certifications
- View certificate

Structuring Machine Learning Projects
CourseraAug 2022 - View certificate

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
CourseraAug 2022 - View certificate

Machine Learning
CourseraJun 2017 - View certificate

Convolutional Neural Networks
CourseraAug 2022 - View certificate

Transformers: Text Classification for NLP Using BERT
LinkedInDec 2022 - View certificate

Sequence Models
CourseraSept 2022 - View certificate

PyTorch Essential Training: Deep Learning
LinkedInJan 2023 - View certificate

NLP with Python for Machine Learning Essential Training
LinkedInJan 2023 - View certificate

Neural Networks and Deep Learning
CourseraJul 2022 - View certificate

Deep Learning by DeepLearning.AI on Coursera
CourseraSept 2022
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