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Ganesh Bombatkar

CSE IIT Hyderabad

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About Me

I am an CSE undergraduate student at IIT Hyderabad. I am passionate about programming and I love to learn new things. I am a quick learner and a team player. I am always ready to take up new challenges and I am a hardworking person.

Experience

Amazon

Amazon Hyderabad

SDE Intern

  • Optimized the restrictions search algorithm by leveraging indexing techniques on the DynamoDB database, resulting in a remarkable 10x improvement in search speed.
  • Proposed and implemented a new architecture for the restriction enforcement system, which reduced the payload size by 50% and improved the efficiency of restriction evaluations by 1.2x.
  • Developed a REST API for bulk searching of the restrictions

Amazon

IIT Hyderabad

Teaching Assistant

  • Assisted the professor in conducting the exams and grading the answer scripts of the students.

Amazon

Lambda IIT Hyderabad

Core Member

  • Contribute in creating the programming culture in the campus by conducting various events.

Education

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Indian Institute of technology Hyderabad

Bachelor of Technology in Computer Science and Engineering

2020 - 2024

CGPA: 8.75/10

Relevant Courses:

Amazon

Jawahar Navodya Vidyalaya Bangalore

Higher Secondary Education

2018 - 2020

Percentage: 95.0%

Amazon

Jawahar Navodya Vidyalaya Bangalore

Secondary Education

2013 - 2018

Percentage: 94.2%

Projects

Nabla

Nabla is a Domain specific langauge pecifically designed for tensor operations with an advanced autograd functionality, with a compiler capable of translating the custom language into highly efficient C++ code.

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Image Captioning

Developed a encoder-decoder model for generating captions on images capturing daily life scenes, using COCO dataset. Deployed the model on GitHub Pages, with ONNX.js.

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Notify Me Snap

Developed a custom snap for Metamask to enable token receipt notifcations, with a spam detection system to flter unwanted and redunt notifcations effectively.

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Research Paper Inquiry

Developed a web platform to unravel the citation networks and provide profound insights into academic research landscapes. Implemented an ranking system leveraging the PageRank algorithm with an innovative feature detecting instances of authors strategically citing each other's works, boosting the influence of their papers.

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Game-TOTM

Tomb of the Mask color is a simple 2D cross-platform game developed using C++ and SFML library with a diverse array of enemies enhancing player engagement through meticulously crafted challenges.

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Skills