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Add CV page, fix dark mode styling, and improve content
- Add new CV page with PDF viewer and zoom controls
- Fix dark mode text colors for experience page headings
- Fix dark mode text colors for Recent Updates section
- Improve experience descriptions (remove bullets, make concise)
- Remove research quote from about section
- Update metalens paper venue from ICCV to WACV
- Make research project images non-clickable
- Add zoom in/out functionality to CV PDF viewer
Copy file name to clipboardExpand all lines: example/config.js
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'I am third-year a Computer Science Ph.D. student at the University of North Carolina at Chapel Hill, advised by Prof. [Praneeth Chakravarthula](https://www.cs.unc.edu/~cpk/) at the [VCAIL Lab](https://www.visualcomputing.ai/). Currently, I am working on a mixture of computational optics, generative models and out-of-domain generalization, specifically exploring deep-optics and computational image reconstruction to improve achievable image quality with meta-lenses.',
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'My research interests broadly encompass physics-inspired deep learning for learning nano-photonic metastructures, optimization for optics design, and real-time video diffusion models. I am actively working on designing hardware for metalenses including HDR, wide-field, broadband and real-time systems, while also exploring the integration of camera dynamics into generative models. In Summer 2025, I did a research internship at AMD working on interactive generative rendering.',
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'Prior to my Ph.D., I gained valuable industry experience as an AI Engineer at [KLA-Tencor through ACL](https://ir.kla.com/news-events/press-releases/detail/413/kla-corporation-opens-new-artificial-intelligence-advanced) (Advanced Computing Labs, IIT Madras), where I worked under [Dr. Pradeep Ramachandran](https://www.linkedin.com/in/pramach2/?originalSubdomain=in) and collaborated with [Prof. Nitin Chandrachoodan](https://chandrachoodan.gitlab.io) on efficient GPU memory algorithms, designing software infrastructures for ML inference workloads in semiconductor inspection and defect detection systems. During my undergraduate years, I was fortunate to collaborate with [Prof. Parag Chaudhuri](https://www.cse.iitb.ac.in/~paragc/) at ViGIL, IIT Bombay, working on realistic hand shape modeling.',
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'I have also been fortunate enough to have worked on diverse projects spanning computer graphics, reinforcement learning, and computational imaging - from developing intelligent game-playing agents using deep Q-learning at [Ubisoft](https://www.ubisoft.com/en-us) India to creating physics-based animations, 2D network graph visualization libraries in Julia, and implementing advanced image processing algorithms. As an open source enthusiast, I have contributed to [Google Summer of Code](https://summerofcode.withgoogle.com/) with [Boost.C++](https://www.boost.org), been an [LFX Mentee](https://lfx.linuxfoundation.org/tools/mentorship/) with [Open Horizon](https://lfedge.org/projects/open-horizon/), and contributed to [Javis.jl](https://juliaanimators.github.io/Javis.jl/stable/) for 2D drawing and visualization software. I have been recognized with [LiFT\'21 and LiFT\'22 scholarships](https://www.linuxfoundation.org/about/lift-scholarships) for advanced open source training, Bertelsmann Tech scholarship, and [Kaggle ML Research Spotlight](https://www.kaggle.com/discussions/general/370095).',
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'\n```markdown\nDoing research may be similar to MCMC sampling, you start at zero knowledge and after a \n\n burnout may get enlightened with an idea!\n```'
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'I have also been fortunate enough to have worked on diverse projects spanning computer graphics, reinforcement learning, and computational imaging - from developing intelligent game-playing agents using deep Q-learning at [Ubisoft](https://www.ubisoft.com/en-us) India to creating physics-based animations, 2D network graph visualization libraries in Julia, and implementing advanced image processing algorithms. As an open source enthusiast, I have contributed to [Google Summer of Code](https://summerofcode.withgoogle.com/) with [Boost.C++](https://www.boost.org), been an [LFX Mentee](https://lfx.linuxfoundation.org/tools/mentorship/) with [Open Horizon](https://lfedge.org/projects/open-horizon/), and contributed to [Javis.jl](https://juliaanimators.github.io/Javis.jl/stable/) for 2D drawing and visualization software. I have been recognized with [LiFT\'21 and LiFT\'22 scholarships](https://www.linuxfoundation.org/about/lift-scholarships) for advanced open source training, Bertelsmann Tech scholarship, and [Kaggle ML Research Spotlight](https://www.kaggle.com/discussions/general/370095).'
description: 'Accelerated interactive generative rendering pipelines and optimized real-time graphics performance for GPU applications.',
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},
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{
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date: 'Jun 2021 - Jul 2023',
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title: 'AI Engineer',
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location: 'KLA-Tencor, Chennai, India',
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description: '• ML inference optimization for semiconductor inspection tools<br>• Efficient GPU memory algorithms with Dr. Pradeep Ramachandran<br>• Collaborated with Prof. Nitin Chandrachoodan on performance optimization',
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description: 'Optimized ML inference for semiconductor inspection systems. Developed efficient GPU memory algorithms and performance optimization solutions.',
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},
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{
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date: 'Jun 2020 - Aug 2020',
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title: 'Full Stack & DevOps Intern',
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location: 'GoodHealth, India',
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description: '• API development for Django-REST & Flaskapplications<br>• AWS Elastic Beanstalk deployment using Docker<br>• GitLab CI/CD pipeline automation',
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description: 'Built REST APIs with Django/Flask, deployed applications on AWS Elastic Beanstalk using Docker, and automated CI/CD pipelines.',
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},
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{
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date: 'May 2020 - Jun 2020',
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title: 'Summer Intern',
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location: 'Samsung India, India',
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description: '• 100k+ server-client connections using Go websockets<br>• Performance benchmarking with containerized environments<br>• Low-resource server platform optimization',
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description: 'Implemented scalable websocket architecture supporting 100k+ concurrent connections with optimized low-resource server performance.',
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},
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{
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date: 'May 2019 - Jul 2019',
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title: 'Summer Intern',
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location: 'Ubisoft India Studios, India',
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description: '• Deep Q-Learning for optimal gameplay state-action mapping<br>• SSD framework with MobileNetv1 for object detection<br>• Game image feature extraction and analysis',
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description: 'Developed deep Q-learning agents for optimal gameplay and implemented object detection systems using SSD MobileNetv1 framework.',
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},
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],
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},{
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date: 'Aug 2024 - May 2025',
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title: 'Graduate Teaching Assistant',
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location: 'UNC Chapel Hill, NC',
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description: '• TA for "Introduction to Data Science" (200 students)<br>• Weekly recitations and office hours<br>• Student mentoring and curriculum support',
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description: 'Teaching assistant for "Introduction to Data Science" course with 200+ students. Conducted weekly recitations and provided academic mentoring.',
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},
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{
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date: 'Jul 2023 - May 2024',
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title: 'Research Assistant',
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location: 'UNC Chapel Hill, NC',
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description: '• Computational optics and deep learning research<br>• VCAIL Lab under Prof. Praneeth Chakravarthula<br>• Meta-lens design and optimization',
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description: 'Conducted research in computational optics and deep learning at VCAIL Lab. Focused on meta-lens design and optimization algorithms.',
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},
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{
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date: 'Sep 2018 - Jul 2019',
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title: 'Team Member',
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location: 'IIT Bombay Mars Rover Team, Mumbai',
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description: '• Autonomous navigation using ROS platform<br>• SLAM algorithms: G-mapping, hector-mapping, Cartographer-2D<br>• Kinectv2 sensor integration and testing',
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description: 'Developed autonomous navigation systems using ROS platform. Implemented SLAM algorithms and integrated Kinectv2 sensors for mapping.',
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},
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],
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},{
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date: 'May 2020 - Aug 2020',
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title: 'Google Summer of Code Student Developer',
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location: 'Boost.C++, Remote',
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description: '• Generic multidimensional histogram container for Boost.GIL<br>• Template meta-programming and variadic templates<br>• 3 contrast enhancement algorithms (MATLAB/OpenCV level)',
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description: 'Created generic multidimensional histogram container for Boost.GIL using advanced C++ template meta-programming and implemented image enhancement algorithms.',
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},
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{
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date: 'Mar 2021 - Jun 2021',
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title: 'Open Horizon Mentee',
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location: 'Linux Foundation, Remote',
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description: '• LFX Mentorship program participant<br>• Open Horizon edge computing platform development<br>• Distributed systems and IoT contributions',
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description: 'Contributed to Open Horizon edge computing platform through LFX Mentorship program, focusing on distributed systems and IoT solutions.',
description="My curriculum vitae with comprehensive details of my academic and professional experience, research publications, education, and achievements."
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