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Hi, I'm Varad Bhogayata.

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Hi, I'm Louis Savalle.

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Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.
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Hard worker who enjoys solving a complex and challenging real-world problems.
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Projects

Accomplishments
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  • Tools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3, Heroku
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  • Register/login to the web app(with OAuth-based Google Sign-In).
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  • Search and filter songs based on language and singer.
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  • Create multiple playlists and add/remove songs to/from playlist.
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  • Scroll through recently played/viewed songs.
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  • Tools: x, y, z
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  • Description.
Projects
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- quiz app -
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- Quiz Web-App -

- A quiz playing web app based on Django -

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  • Tools: Django, HTML, CSS, Bootstrap, SQLite, Heroku
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  • Register/login to the web app(with OAuth-based Google Sign-In).
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  • Play Quiz and see the leaderboard
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- Screenshot of web app -
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- Blog Web-App -

- A simple and extensible blog web-app based on Flask. -

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  • Tools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
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  • Users can view posts and contact the admin via Contact Page.
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  • Admin can Add, Delete, Update posts.
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- Screenshot of web app -
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- Visual Question Answering -

- An attention-based classification model that aims at generating an answer for a given input image. -

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  • Incorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term - Memory for extracting question - embeddings.
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  • Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the - VQA evaluation metric.
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- Video Summarizer -

- A Seq2Seq model that generates a short summary of the given input video. -

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  • Incorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for - generating a summary.
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  • Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71, - 0.52 scores respectively on ROGUE, - BLEU, METEOR evaluation metrics.
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- Image Generator -

- An image generator based on the concept of adversarial networks (GANs) -

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  • Developed system was tested on a human-face database and loss was calculated by comparing the PCAs - of generated and original image.
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  • Calculated difference in PCA was less than 10%, depicting the successful generation of an image by - the generator.
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- Head Counting System -

- A system that calculates the attendance of the class from a panoramic image of a live classroom. -

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  • Used Singular Value Decomposition for image compression; applied various image processing - techniques and morphological operations to - detect the number of heads.
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Education

- Arizona State University + University of Toronto

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Tempe, USA

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Toronto, Canada

- Degree: Master of Science in Computer Science -
- CGPA: 4.0/4.0 + Degree: Bachelor of Computer Engineering

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    Education

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- School of Engineering and Applied Science, Ahmedabad - University -

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Ahmedabad, India

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- Degree: Bachelor of Technology in Information and Communication Technology -
- CGPA: 3.13/4.33 -

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    - Relevant Courseworks: -

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    • Data Structures and Algorithms
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    • Database Management Systems
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    • Operating Systems
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    • Machine Learning
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    • Computer Vision
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Contact

- +14805722456 + aria-label="Call Louis">+14805722456

- vbhogayata@gmail.com + louis.savalle@mail.utoronto.ca

- github.com/varadbhogayata

- linkedin.com/in/varadbhogayata