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Software engineer at ParkingTelecom & Machine learning enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ai-arena
July 2, 2021 – July 4, 2021
AI Arena utilizing neural nets trained by a genetic algorithm
View Projectbert-for-recommendation
June 19, 2021 – July 3, 2021
Utilization of BERT model for content and item based collaborative filtering
View Projectmolecular-translation
May 15, 2021 – June 22, 2021
molecular-translation — GitHub repository
View Projectimagecaptioning
July 7, 2020 – December 8, 2022
Image-to-sentence generation project using Tensorflow
View ProjectFMI-Object-oriented-programming
February 18, 2019 – June 5, 2019
Repository related to OOP course in FMI
View ProjectFMI-Intro-to-programming-18-19
October 1, 2018 – January 18, 2019
Introduction to programming, FMI course 2018-2019
View ProjectAlgorithmsFundamentals-Tasks
May 19, 2018 – May 20, 2018
Solutions of couple of tasks related to algorithms fundamentals. Solutions are competitive programming oriented so the source code does not follow coding style guidelines. The idea is fast execution and less memory usage.
View Projecthuffman-coding
January 30, 2018 – January 30, 2018
A small C++ console application demonstrating the Huffman coding and Adaptive Huffman coding algorithms.
View Projectheterogeneous-container
January 30, 2018 – January 30, 2018
A C++ application for learning purposes utilizing the main data structures stack, queue, linked list and binary search tree. All of them combined in a single heterogeneous container.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in academic and personal projects, particularly in data structures, algorithms, and machine learning. This indicates a self-driven individual with a passion for learning and applying technical concepts. The diversity of projects, from low-level C++ implementations to higher-level Python ML applications, suggests adaptability and a broad technical curiosity. However, without information on team-based projects or professional experience, it's difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approach, or communication style.