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gridX gmbh
Data Scientist
June 24, 2026 – Present
Raft
January 12, 2022 – January 19, 2022
This is my implementation of Raft consensus algorithm that I did for own learning. Please follow the link to learn more about raft consensus algorithm https://raft.github.io. And Soon, I will be developing same algorithm in Java as well
View ProjectLoad-Simulator-for-Chat-Application-NIO
August 20, 2020 – August 20, 2020
This simulator was designed to test how my chat server will perform under a large number of clients. You can create any number of clients that will keep sending messages to the server simulate heavy traffic.
View ProjectChat-Client-With-NIO
July 16, 2020 – July 12, 2025
Chat client that will interact with a nonblocking chat server. This chat client follows a specific protocol to establish communication and sharing of messages with my chat server
View ProjectChat-Server-With-NIO
July 15, 2020 – July 12, 2025
This chat server is capable of handling a larger number of clients without creating threads for each client. I have followed a nonblocking way for creating a chat server in java. Like any other nonblocking server special protocol is created for client-server communication. Some improvements are required to handle the partial read/write problem.
View ProjectTranslator-Compiler-Construction
January 6, 2018 – January 6, 2018
C++ code for the Translator (in Compiler Construction). Translator will generate three address code. I have included question statement in the folder so that you can understand all the functionalities of the translator.
View ProjectParser
January 6, 2018 – January 6, 2018
C++ code for second phase of Compiler Construction (Parser). I have combined code of lexical analyzer with parser for your convince. It takes token-lexeme pairs as input and generates a parse tree. Parser is used to identify valid statement. In case of incorrect statement it will print error in parse tree
View ProjectLexical-Analyzer
January 6, 2018 – January 6, 2018
C++ code for First phase of compiler construction(Lexical Analyzer). It takes an input language and creates token-lexme pairs. Input language is in prog1.cm and token-lexeme file contains token lexeme pairs
View ProjectDigit-Recognition-Using-Perception-Learning-sigmoid-activation-function-and-GA
December 27, 2017 – December 27, 2017
All pair approach to recognize handwritten digits based on the MNIST dataset.
View ProjectChess-game-using-alpha-beta-prunning-Artifical-Intelligence
December 27, 2017 – December 27, 2017
Chess game implemented using game theory and alpha beta pruning. All the logics of the chess moves, alpha beta pruning are implemented correctly. But it throws exception when it is run. It was my AI assignment I was not able to resolve this due to shortage of time and submitted as it is.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration across various computer science domains (compilers, distributed systems, networking, AI). This self-driven learning approach could be a good cultural fit for an innovative environment. However, the projects are predominantly academic/personal, and the experience level is 0, which might require more mentorship in a professional setting. The target role is 'Data Scientist', and while there is one relevant project, the overall project portfolio is quite diverse, indicating a broad interest rather than a focused specialization at this stage.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.