Prathamesh Sai's Projects
Group project for the Software Engineering Project.
My code and reports to study advanced computational linguistics.
Comparing adversarial search and reinforcement learning with tic-tac-toe and connect4.
My programming in Java to improve my understanding of Algorithms and Data Structures.
My Code using R to study Applied Probability and methodologies surrounding it.
Using Prolog and Python to use the A* search algorithm and Q-learning.
One of the tasks for CSU33012 (Software Engineering) is that we must produce a short (2-4 page) biography of a key software engineer, discussing the work and impact of the individual.
Project 2 for Scalable Computing - CS7NS1.
My code using x64, x86 and RISC-I assembly to learn about computer architecture.
My code in C using Intel SSE (Streaming SIMD Instructions) and OpenMP to vectorize and parallelize code.
Learning about concurrency with pthreads, mutexes, and condition variables in C and learning about operating systems and their equivalent scheduling algorithms.
A cryptocurrency wallet developed with Flutter, using Firestore and Firebase Authentication.
My code in Verilog to study Digital Logic Design.
A replacement for IPv4 or IPv6 that forwards payloads based on a collection of strings that identify the source and destination of traffic.
Using Vega-Altair to visualize data from gapminder.org, a non-profit fighting global misconceptions.
My attempt at the Gilded Rose Refactoring exercise found at https://github.com/emilybache/GildedRose-Refactoring-Kata
Using the GitHub API to display data visually to clearly show some aspect of the software engineering process.
Implementing a drawing eDSL image server using Haskell (with Scotty/Blaze for the web app and JuicyPixels to create the images).
Implementing Minesweeper using Haskell (with Threepenny for the user interface).
A codec that can compress plain text files using Huffman coding, and decode compressed files back to plain text.
Information Models I've completed using UML, XML with XQuery as well as ER models implemented as a mySQL database.
Programming in MATLAB to improve my understanding of Information Technology.
My code in ARM Assembly to learn about Assembly Language for the first time.
My Haskell code to learn about Functional Programming.
Code I developed to learn the basics of Java.
Using Java, calculating the lowest common ancestor in a graph that may be structured as a binary tree or a directed acyclic graph (DAG) in a branch that is then merged.
Using Python, calculating the lowest common ancestor in a graph that may be structured as a binary tree.
A search engine for the cranfield collection using Apache Lucene.
A search engine for news articles using Apache Lucene.