OpenMRS API and web application code
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Updated
Nov 12, 2025 - Java
OpenMRS API and web application code
Core OpenMRS modules for Bahmni (including ERP & ELIS Atom Feed Clients)
Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.
Built a distributed system which completes several objectives with given data to generate loan reports using Amazon Web Services, Apache Spark, Java and Python.
Deployment/Orchestration of Apache Spark applications on Amazon EMR.
Fork of OpenELIS for managing Lab workflows (Tests, Results, Samples, etc).
OpenPCM Server
Console based REST API Endpoint Testing tool for OpenEMR API. This will have Testing tools made with Retrofit and Spring Boot separately.
One Ring is a framework to unify, unite and bind Apache Spark-based computing modules, and run them in parametrized chains
An Annotation Tool Designed for Health Unstructured Data (标注工具)
Application that automatically extracts collocations from the Google 2-grams dataset using Amazon Elastic Map Reduce
Assignment 2 of the course 'Distributed Systems Programming' by Meni Adler. In the assignment we build an application that calculates the probabilities for any word to come after a couple of words, for ANY couple of words in the n-gram corpus (google).
A map-reduce implementation in Apache Hadoop (AWS EMR) for calculating the probabilities of trigrams in the Hebrew language. This project utilizes the deleted estimation two-way cross validation method to calculate trigram probabilities. The Google Hebrew Trigram database serves as this project's corpus.
In this project, we try to reproduce the paper 'Comparing Measures of Semantic Similarity' by Nikola Ljubešić et al. which aims at comparing different methods for automatic extraction of semantic similarity mesaures from a corpus.
Project of the final year of my engineering courses
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