Meet Vora

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meet vora

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final year computer science undergrad, indian institute of technology roorkee

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intro.txt

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ROOT VARIABLES
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locations={'Hometown': 'Mumbai', 'Current': 'Roorkee'}
description=['Tech & Finance enthusiast', 'gadget geek', 'ardent Spidey fan']
areas_of_interests=['Machine Learning', 'Information Security', 'Computer Vision', Systems']
inspirations=['Dad', 'Jeff Bezos', 'SRK']
college_groups=['Information Management Group', 'National Service Scheme', 'Data Science Group', 'Geek Gazette']

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WORK EXPERIENCE
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[Summer 2017] Research Intern, BigData Experience Lab, Adobe Research

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Publications
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Asutosh Palai*, Meet Vora*, Aashaka Shah*. Empowering Light Nodes in Blockchains using Block Summarization

International Workshop on Blockchains and Smart Contracts, IFIP International Conference on New Technologies, Mobility and Security 2018, Paris.

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PROJECTS
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Learning Discriminative Features for images*:

The project focuses on extracting dense discriminative features by using sparsity constraints in the fully connected layers. Also working on adaptive pooling for better feature extraction.

Block Summarization: Empowering Light Nodes in Blockchains:

Proposed & developed an algorithm to enable transaction validation on light nodes in blockchain environment. Besides Bitcoin implementation and protocol study, developed a blockchain micro-framework with the summarization protocol. Achieved 45% compression on Bitcoin blocks.

[CODE]

Design study of S-Boxes and cryptanalysis of Q-groups:

Analyzed cryptographic properties including nonlinearity, ANF & resiliency, of substitution boxes of DES & PRESENT. Extended the work to Quasigroups & cryptanalysis of 4-round quasigroup s-boxes.

[CODE] [REPORT]

Media Management Service:

Developed a back-end service for Django to manage & handle media files and requests. Besides media storage, file compression and authentication, the service tracks user actions on files and provides options for file recovery and transformation. Further, rule based authentication was implemented to verify file parameters & create suitable output file.

Predicting Network Traffic for Energy Optimization:

Analzed network traffic for Insitute intranet portal and approached the forecasting problem with ARIMA, GAS and RNN.

[REPORT]

MLP Toolkit:

Developed a python micro-framework to create multilayer perceptron classifiers with custom layers, activations, regularization & initialization policies. Currently, the project has over 170 GitHub stars.

[CODE]

Matasano Crypto:

Solved Matasano (modern) Cryptography challenges on block & stream ciphers and RSA.

Custom Bootloader & Kernel:

Developed a custom bootloader and kernel for x86 architecture from scratch. The kernel comprised of a basic display driver.

[CODE]

Distributed DNS:

Implemented a distributed Domain Namespace Server for iterative address resolution. A hierarchical structure was maintained with client parsing through the response obtained at each node. The model employed RPC for node communication.

[CODE]

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RÉSUMÉ
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[link]

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CONTACT
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[github] [linkedin] [facebook] [blog] [iitr.ac.in]