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Vishal Bidawatka's Projects

big-int-library-on-c-. icon big-int-library-on-c-.

created a large integer library, similar to what we have in Java as BigInteger. This library provides functionalities to store arbitrarily large integer and perform basic math operations.

distributed-ai-on-the-edge-platform icon distributed-ai-on-the-edge-platform

Built a Distributed AI on the Edge Platform that is capable of managing & deploying tensorflow models using tensorflow serving. The platform was built using micro-service based architecture with features like auto-scaling, scheduling, centralized logging, monitoring, notification, high-availability and fault tolerance.

distributed_key_value_store icon distributed_key_value_store

Implemented Distributed Key Value store using Consistent Hashing, Node Replication, LRU Cache and Master-Slave architecture.

machine_learning icon machine_learning

Implementation of various Known ML algos from scratch like DecisionTree,KNN,PCA ,Linear and Logistic regression, L1/L2 regularisation, General Neural net,Kmeans,CNN

mini-bit-torrent-system icon mini-bit-torrent-system

Developed P2P multimedia file sharing network using TCP that allows uploading and downloading file using custom .mtorrent file from multiple available seeder. It also supports multithreaded client/server and tracker.

parallel-svd icon parallel-svd

parallel SVD algorithm (Jacobis Rotations) using OpenMP

semi-auto-image-annotation-tool icon semi-auto-image-annotation-tool

Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations for 80 object classes using a pre-trained model

smai_coursework icon smai_coursework

Applied many of the known machine learning algorithms from scratch. Implemented Decision Trees, Naive Bayes, L1/L2 Regularization, KNN, K-means, Linear and Logistic Regression, Artificial Neural Network, CNN and Auto encoders from scratch.

wikipedia-search-engine icon wikipedia-search-engine

Built a complete search engine by creating an Inverted Index on the Wikipedia corpus ( of 2018 with size 72 GB). That gives you top search result related to given query words.

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