• Designed and implemented a GPT‑3.5‑powered chatbot for a crypto community, leveraging prompt engineering to provide accurate andcontext‑sensitive answers to user queries.• Integrated Retrieval‑Augmented Generation (RAG) techniques, creating a search system to pull relevant documents from a knowledge baserelated to users’ questions and seamlessly incorporate them into the chatbot’s responses.• Worked closely with stakeholders in the crypto community to iterate and refine the chatbot’s capabilities, ensuring it provides high‑qualitycustomer engagement while automating various support functions.

• Conducted research in AI and computer vision• Developed a computer vision‑based AI system to automate the detection of defects and carcass parts in Cobb’s processing plant• Collaborated with teams of researchers and industry professionals across multiple projects to gather data and improve system accuracy• Presented findings at academic conferences and published research in peer‑reviewed journals.

• Assisted in preparing slides, homework assignments, and exams for the Algorithms course

• Developed cryptocurrency and forex trading algorithms

• Developed a computer vision‑based AI braking system for autonomous vehicles.• Created a class attendance management system using Face Recognition.• Created a system to estimate pig weight using Realsense D435.

Teaching assistant for a Master course: Computer Vision• Prepared slides and instructed practice sessions for the Master course in Computer Vision.

• Taught three undergraduate courses in Sensors and Instrumentation, Robotics, and Biosignal Processing.• Prepared lectures and laboratory sessions.