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Software Engineer
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waikato-ahuora-smart-energy-systems
Data Scientist
June 29, 2026 – Present
TCP-Server-Order-Book
February 12, 2026 – Present
An orderbook that runs on a TCP server in C++
View Projectpredicting-nba-mip
January 4, 2026 – Present
Prediction model to predict the most improved player of the year award in the NBA
View Projectpytorch-physics-informed-network
June 11, 2025 – June 25, 2025
pytorch-physics-informed-network — GitHub repository
View ProjectSimulatedAnnealing-BoxStacker
May 19, 2025 – June 6, 2025
A Java-based solution for the NPC-style box stacking problem using Simulated Annealing. The program seeks to find the tallest possible stack of 3D boxes under strict geometric constraints, where each box can be rotated and used only once, and every box must strictly fit within the base of the one beneath it.
View ProjectRegexFSMSearch
April 17, 2025 – May 18, 2025
Regular Expression FSM Compiler and Searcher
View ProjectKMPsearchAlgorithmWithTable
March 24, 2025 – September 3, 2025
Implementation of the Knuth-Morris-Pratt string search algorithm in Java
View ProjectBalanced-Sort-Merge
March 3, 2025 – September 3, 2025
This project is a balanced external sort merge implementation written in Java, designed to sort text files by comparing entire lines using standard string comparison, similar to the Unix sort command.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal technical projects, demonstrating initiative and a passion for learning. The diversity of projects, from algorithms to machine learning and network programming, suggests a broad technical curiosity. However, the lack of team-based or open-source contributions makes it difficult to fully assess cultural fit in a collaborative professional environment. The target role is 'Data Scientist', and while there is one current experience listed, it lacks details. The personal projects align well with the technical aspects of a Data Scientist role, particularly in Python and ML.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication styles in a team setting.