I'm a Software Engineering student focused on building data-driven backend systems and scalable applications.

Currently working on projects involving time-series data, APIs, and machine learning, with a strong interest in backend engineering and data pipelines.

Currently building: Energy forecasting & optimization system using .NET, ML, and time-series data

Languages

• C#
• TypeScript / JavaScript
• Python

Backend & Data

• ASP.NET Core (.NET 8)
• Entity Framework Core
• SQL Server
• REST APIs
• Time-series data processing

Frontend

• HTML, CSS
• TypeScript
• Chart.js

Machine Learning

• ML.NET
• Feature engineering (lag features, time-based features)
• Forecasting models

• Building a data-driven energy analytics & forecasting platform
• Working with 15-minute resolution time-series data
• Developing ML models for prediction and optimization
• Improving backend architecture and system design skills

• Working through Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (3rd Edition) with practical implementations
• Studying Pro ASP.NET Core 7 (Tenth Edition) and applying concepts to real-world backend systems
• Studying The Pragmatic Programmer (20th Anniversary Edition) and applying its principles to write clean, maintainable, and production-ready code
• Continuously deepening knowledge in backend architecture, data engineering, and ML systems

• Practicing problem-solving on LeetCode
• Completing the Meta Front-End Developer Certificate (Coursera)
• Completing the Machine Learning Professional Certificate (IBM)
• Continuously building and refining real-world side projects

• LinkedIn: CodingSayed