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KAZ Software / Associate Software Engineer(.Net & React)
Completed graduation from Comilla University major in Computer Science and Engineering. Currently working for a well-known Bangladeshi IT company as a Full Stack Engineer( .Net Core, ReactJS, SQL Server, and AWS). Learning Japanese (N4 level). Love problem-solving and taking responsibility. Have a good knowledge of programming languages, OOP, data structure, and algorithms.
Looking to work as a Software Engineer in a dynamic company and looking forward to implementing new technology.
Work area: • Developed a Leave management web API using .Net Core and designed a Database for MySQL for in-house uses. • Developed US Stock Market data analysis, visualization, and prediction web API and designed a Database for all Funds and Stocks. • Training a group of junior software trainees.
Details: Stock Market site using ASP.NET Core 3.1, MYSQL, APIs, React-Redux, AWS, and QuoteMedia API for data collection. It pulls raw updated data every day and writes it in the database. Process data and show it in interactive UI. Tools: C#(ASP.NET Core), MySQL, React, Redux, Visual Studio, VS Code, PostMan.
Details: Leave Management App manages to leave and upcoming events for company internal uses. Tools: C#(ASP.NET Core), MySQL, React, Redux, Visual Studio, VS Code.
Projects: 1. ECommerce 2. Manipulated Image Detector 3. NearBy Place
Details: Detect And Image was manipulated or not. First, train the model using TensorFlow 2 and convert the model into tfLite for Android App to detect manipulated images. Tools: Python(TensorFlow), Java(Android), Google Colab, Android Studio.
Details: ECommerce site using ASP.NET Core 3.1, MSSQL Server, Bootstrap 4. Tools: C#(ASP.NET Core), MSSQL Server, Visual Studio.
Details: Location app that can show desired types of institutions with rating, mobile numbers, directions, etc. Tools: Java(Android), Google Map API, FireBase, Android Studio.
Comilla University / Computer Science and Engineering
Details: Detect And Image was manipulated or not. First, train the model using TensorFlow 2 and convert the model into tfLite for Android App to detect manipulated images. Tools: Python(TensorFlow), Java(Android), Google Colab, Android Studio.
