Sena Tarpan

• Python language. • Conducted Natural Language Processing (NLP) exploratory data analysis using BERTopic, TensorFlow, and Pytorch. • Utilized Haystack with Elasticsearch for keyword and semantic search algorithms. • Developed frontend using Dash Core and Dash Bootstrap Components, and backend using FastAPI and REST interfaces. • Collected and engineered data from SQL and SharePoint. • Created a custom Python package for global logging via DevOps Artifacts. • Built pipelines and deployed using Azure DevOps.

• Working on Human Motion Prediction Project using Python. • Working with a variety of tools and libraries including TensorFlow, Pandas, Pybullet, Matplotlib, NumPy, Pyrieef. • Using MoGaze dataset.

• Worked with C++ programming language C++11, C++14 for software developments. • Worked with OpenGL used through the freeglut library to display objects on the screen. • CMake used for compilation, and compiled with MinGW on Windows. • Libraries: nlohmann/json, Catch2, Mustache HTML Template, ZeroMQ.

• Studied with DVWA and OWASP Mutillidae II machines for web cyber security. • Worked done with "sql injection", “insecure captcha” and “csrf vulnerabilities”. • Worked with Fiddler and Burp Suite to listen and control http traffics, SQL, Html, JavaScript.

• Researched Isolation of lignin from lignocellulosic biomass for the production of lignin nanoparticles (LNPs) and further synthesis of carbon quantum dots (CQDs) project. • Researched and participated in experiment for “Assessment of a protic ionic liquid with respect to fractionation and changes in the structural features of hardwood and softwood.”.