We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Ervin N. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: .NET Core, VB.NET, ADO.NET, ASP.NET, ASP.NET MVC, etc.. I hold a degree in Bachelor's degree, Master's degree. Some of the notable projects I’ve worked on include: Profanity Detector nuget package, Traffic Congestion Prediction System, ECommere for a plant company. I am based in Tirana, Albania. I've successfully completed 3 projects while developing at Softaims.
I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.
My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.
I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.
Main technologies
1 year
1 Year
1 Year
1 Year
Potentially possible
ALFA Business Solutions
Profanity Detector is a nuget package designed to help you easily identify and detect profanity or bad words within a given sentence or string. It was built using a simple binary classifier that has been trained for accurate detection of inappropriate language. The model was created using ML.Net and the dataset for training was obtained from Surge AI.
The project involves creating a traffic congestion prediction system using diverse methods. It integrates the YOLOv8 model for car detection in images, contributing to the creation of a time series dataset from Tirana's traffic images. Predictions are generated using the AutoRegressive Integrated Moving Average (ARIMA) model and the Gated Recurrent Unit (GRU) model. Additionally, Linear Regression (LR) and Support Vector Regression (SVR) predictions with various kernels (Linear, Polynomial, Sigmoid, RBF, Precomputed, Custom Kernels) are employed, alongside SVR predictions utilizing different kernel functions. In the end a predictive system was developed using LR, ARIMA, GRU, and SVR models, fueled by a custom dataset crafted through image processing techniques.
ZadrimaPiante an e-commerce website I built for a plant company. I've not only achieved a mobile-friendly design, secure payment gateway, and personalized features but also empowered the client with a robust CRM. Now, they can effortlessly add, remove, and edit products, ensuring dynamic control over their online store.
Bachelor's degree in Computer science
2018-01-01-2021-01-01
Master's degree in Computer engineering
2021-01-01-2023-01-01