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Hello there! You've found me! ๐Ÿ‘‹

  • ๐Ÿซ I am a Research Scientist at UPC Barcelona, where I work on machine learning driven cloud and edge computing.

  • ๐Ÿ‘จโ€๐ŸŽ“ I was a Master's student at ETH Zurich, focused on similar areas of computer networks, machine learning and distributed computing.

  • ๐Ÿ’ป I am super interested in building on learning models for improving computer network and system performances.

  • ๐Ÿ“ˆ In the past, I have worked in several areas, some of which include SDN/Programmable Networks, Network Security and NLP for Social Science.

  • ๐Ÿ“ซ You can find me on LinkedIn Linkedin Badge

  • ๐Ÿ’ฌ Hit me up to discuss any research you find cool honestly! Here's one of the (not so) latest pieces I found very cool : Link

  • Some tech I find super nice and use regularly:

Pythonย  PyTย  Tfย  Firebaseย  GCPย  AWSย  ย  ย  ย  Javaย  Dockerย 

siddhantray's Projects

acme-client icon acme-client

Implementing a functional ACME client and supporting servers. Code for the Network Security Course Project, ETH Zurich, HS 2021.

acme-client-rust icon acme-client-rust

Re-implementation of my Python ACME client and supporting servers in Rust.

artificial-neural-network-implementation icon artificial-neural-network-implementation

This is an ANN model template which uses a tanh activation function on an existing make_moons dataset. The number of hidden layers can be increased to improve prediction precision and accuracy.

artificial-neural-network-weighttraining icon artificial-neural-network-weighttraining

This a basic ANN template which works on a sigmoid activation function. Initially the weights are created with a randomized function on a truncated normal distribution. The model further uses training and updation of weights using back propagation algorithm

cnn-models icon cnn-models

Implementation of LeNet, AlexNet and ResNet on a Fashion_MNIST Dataset.

defend-the-flag icon defend-the-flag

Fixing a vulnerable web-server after intrusion. Patches for the Network Security Course Project, ETH Zurich, HS 2021.

electronic-voting-app icon electronic-voting-app

An online voting app to facilitate a simple, secure and convenient voting platform for online elections.

homa icon homa

Low-Latency Data Center Network Transport

langchain icon langchain

โšก Building applications with LLMs through composability โšก

lstm-on-an-airline-dataset icon lstm-on-an-airline-dataset

An LSTM implementation carried out on a passenger number dataset for an airline company. The model has been implemented in Keras.

machine-learning-based-cell-association icon machine-learning-based-cell-association

Hidden Markov Model (HMM) learning on the networkโ€™s telemetry data, which is used to learn network parameters and select the best eNodeB for cell association, with the objective of ultimate ultra low latency.

machine-learning-python-templates icon machine-learning-python-templates

This repository provides the basic python frameworks to deploy introductory level Machine Learning algorithms on Python. The main library used in the models is Sci-kit Learn.

medicator icon medicator

A National Scale architecture for preemptive diagnosis and medical planning.

memento-ns3-for-ntt icon memento-ns3-for-ntt

Packaged NS-3 application for packet data generation using message size distributions.

memsum icon memsum

Code for Code for ACL 2022 paper: "MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes".

network-traffic-transformer icon network-traffic-transformer

Network Traffic Transformer to learn network dynamics from packet traces. Learn fundamental dynamics with pre-training and fine-tune to multiple applications.

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