As a results-driven software engineer with over five years of experience, I excel in solving complex problems and contributing to business growth through the development of high-quality software solutions. At SimCorp, a leader in integrated investment management solutions, I specialized in the Investment Management software . Here, I significantly improved efficiency and implemented new features, particularly as a backend developer utilizing C#. Next, I enrolled in my master's degree at the prestigious Denmark Technical University, where I pursued a Master's in Computer Science and Engineering. During this program, I conducted a research project titled 'Towards Artificial Neural Network-Based Intrusion Detection with Enhanced Hyperparameter Tuning,' which was published in the reputable IEEE Xplore digital library. Post-master's, I embraced the challenge of Saxo Bank's graduate program, transitioning to a full-time Front-End Developer role in their Trading API team. In this dynamic environment, I played a key role in delivering important features that not only increased customer satisfaction but also substantially improved platform usability. I am eager to bring my proven track record and passion for innovation to a dynamic team where I can make meaningful contributions.
Overview
6
6
years of professional experience
Work History
Front-End Software Developer
Saxo Bank
02.2023 - Current
Key contributor to the development of the "Non Tradable" feature, streamlining the customer journey and enhancing user experience.
Revamped the Trade Ticket, Chart Trader, and Option Strategy Ticket functionalities to seamlessly accommodate non-tradable instruments , reducing the steps required by users when trading , improving efficiency of the trading process
Contributed to a positive team environment through effective communication, problem-solving, and collaboration skills.
Optimized application performance by conducting regular code reviews and refactoring when necessary.
Saved time and resources by identifying and fixing bugs before product deployment.
Worked in the Saxo Bank IT Platform Department's graduate program as a Junior Associate, specializing in front end software development.
It comprised one 9-month cross-functional and a cross-geographical stint where the graduate would join 3 different teams across the company and an 8-month in-depth knowledge of the potential future role in Saxo Bank.
OpenAPI Team - Collaborated with business developers to bridge technical and business aspects, resulting in the implementation of key features within an internal monitoring tool that significantly improved team efficiency.
Data Science Team- Contributed to the development of an in-house custom message protocol, improving customer communication through personalized updates based on preferences. Designed and implemented an admin dashboard for efficient data visualization, enhancing team understanding of customer behavior.
Customer Experience Team (India) - Developed new features for an internal monitoring tool, enhancing API endpoint tracking and improving platform usability for better data comprehension
Proposed and implemented a streamlined hyperparameter tuning process for enhancing Artificial Neural Network (ANN)-based Intrusion Detection Systems (IDS). Evaluated three ANN variants across four datasets, showcasing superior performance compared to similar studies and traditional learning algorithms in achieving high detection rates.
Paper published at GLOBECOM 2022 - 2022 IEEE Global Communications Conference : https://ieeexplore.ieee.org/document/10000809
Github link : https://github.com/AndreiNC05/Intrusion_detection_based_on_artificial-_neural_network_approach
Proposed and implemented a streamlined hyperparameter tuning process for enhancing Artificial Neural Network (ANN)-based Intrusion Detection Systems (IDS). Evaluated three ANN variants across four datasets, showcasing superior performance compared to similar studies and traditional learning algorithms in achieving high detection rates. The work addresses the increasing complexity of communication paradigms and the need for robust cyber intrusion identification in interconnected digital environments.
Paper published at GLOBECOM 2022 - 2022 IEEE Global Communications Conference : https://ieeexplore.ieee.org/document/10000809
Github link : https://github.com/AndreiNC05/Intrusion_detection_based_on_artificial-_neural_network_approach
Bachelor's thesis centered on the development of an Internet of Things (IoT) project. The prototype featured sensors linked to a micro-controller for measuring environmental parameters, including noise and air quality. Implemented a dynamic web application to present real-time data through charts and graphs, enhancing data analysis and visualization for a comprehensive understanding of environmental conditions.