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Rohan Jagannathan is listed as CS + Math @ UT Austin at Dell Medical School at the University of Texas at Austin, based in Austin, Texas, United States. AeroLeads shows a matched LinkedIn profile for Rohan Jagannathan.
Rohan Jagannathan previously worked as Undergraduate Research Assistant at Dell Medical School At The University Of Texas At Austin and Software Engineer Intern at State Farm ®. Rohan Jagannathan holds Bachelor Of Science - Bs, Computer Science from The University Of Texas At Austin.
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Hello everyone! I am a third-year student at UT Austin double majoring in computer science and mathematics with a love for problem-solving and technology. I have a wide skillset that encompasses artificial intelligence, data science, systems programming, cloud computing, and much more. Currently, my main interests are computer vision, deep learning, and quantum computing. I would love to connect with and meet other people who share a similar mindset.
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Austin, Texas, United States
• Conduct medical imaging research with computer vision and deep learning under Dr. Adrienne Dula• Develop AI tools to rapidly assess blood flow in ischemic stroke patients from MRI scans without human intervention• Process and transform time series of volumetric image data through signal upsampling and image super-resolution• Design and train multiple deep learning models to perform inference on 4-dimensional input data
Richardson, Texas, United States
• Developed an entire ETL pipeline to automatically process up to 20,000+ insurance policy records per day• Efficiently processed large XML and Parquet files with 100+ fields and multiple schemas in parallel with Scala and Spark• Transferred processed insurance policy records to AWS S3 Buckets using a Glue Crawler• Deployed AWS resources using Terraform-based modules that were optimized for cost and scalability• Implemented event-based triggering to automatically run the ETL job using AWS EventBridge• Gained significant experience working with a team using Agile methodology
Austin, Texas, United States
• Conducted deep learning research directly under UT engineering professor Dr. Michael Pyrcz• Explored novel approaches to self-supervised image segmentation with transformer neural networks• Created and trained a convolutional autoencoder for anomaly detection• Developed a synthetic Martian surface image generator to create a labeled dataset for crater image segmentation• Designed and trained a U-Net convolutional neural network to identify craters on Mars
Austin, Texas, United States
• Used deep learning to solve problems in the energy sector with funding from ConocoPhillips• Designed and implemented neural networks for image segmentation and semantic image inpainting• Research was well received and resulted in a summer research fellowship opportunity
Activities and Societies: Member of Association for Computing Machinery (ACM) and Machine Learning and Data Science Club (MLDS). Regular.
Activities and Societies: President of Computer Science Club, French Club, and National French Honor Society (Each with 30-50 members)..
Spring 2024 Exchange Program in Stockholm, Sweden
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Rohan Jagannathan works for Dell Medical School at the University of Texas at Austin.
Rohan Jagannathan is listed as CS + Math @ UT Austin at Dell Medical School at the University of Texas at Austin.
Rohan Jagannathan is based in Austin, Texas, United States while working with Dell Medical School at the University of Texas at Austin.
Rohan Jagannathan has worked for Dell Medical School At The University Of Texas At Austin, State Farm ®, College Of Natural Sciences, The University Of Texas At Austin, and The University Of Texas At Austin - College Of Natural Sciences.
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Rohan Jagannathan holds Bachelor Of Science - Bs, Computer Science from The University Of Texas At Austin.
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