Hello, I am experienced in developing data science and artificial intelligence applications. I strive to continuously improve myself in this dynamic and ever-evolving field, staying updated on the latest innovations. By leveraging my analytical thinking and problem-solving skills, I create effective solutions and innovative projects.
If you would like to connect in this field, feel free to reach out to me on LinkedIn. I look forward to creating new opportunities together!
Feel free to explore my repositories and don't hesitate to reach out for collaborations or opportunities! 🌟
- In this project we developed a fully automated system which generates questions and answers from various multimedia inputs—including PDF, DOCX, PPTX, EPUB, ENEX (evernote), TXT, MP3, MP4, MPEG4, PNG, JPG, JPEG, URLs, YouTube, Spotify, Wikipedia, and direct text input. Users can interact with the interface to answer questions and receive detailed performance feedback with suggestions for improvement. https://github.com/mesutdmn/Digi-Did-I-Get-It
- Developed an AI-powered multi-agent essay writing system using CrewAI and LangChain. Integrated web scraping and summarization tools to gather real-time data from the web, allowing agents to autonomously generate essays based on user prompts. https://github.com/mesutdmn/Autonomous-Multi-Agent-Systems-with-CrewAI-Essay-Writer
- Created a Retrieval-Augmented Generation (RAG)-based AI chatbot, capable of querying PDF documents using the OpenAI API integrated with LangChain. With LangGraph and FAISS, vector-based data queries are performed on PDF files, allowing natural language interaction with the data. https://github.com/mesutdmn/Chat-With-Your-PDF
- Created an application that allows users to describe images using their voice, converting the audio input into text with the OpenAI Whisper-1 model, and then generating an image from that text using the DALL-E model. Users can also obtain descriptions of their generated images via GeminiAI. https://github.com/mesutdmn/Speech-to-Image-With-LLMs
- For the Teknofest NLP competition, I developed a model with 85% accuracy using only 8MB of data by employing a transformer-encoder architecture with PyTorch to extract sentiment and brand names from Turkish customer reviews. Despite not using a pre-trained model, we ranked 18th out of 90 teams, competing against others who used pre-trained models. https://github.com/mesutdmn/NLP-Turkish-Brand-Entity-Sentiment-Recognizer
- The Carbon Footprint Calculator project is a user-friendly web application designed to empower individuals to assess and understand their environmental impact. https://github.com/mesutdmn/Carbon-Footprint-Calculator-App
- Deep Learning Specialization
- IBM AI Engineering Professional Certificate
- Generative AI with Large Language Models
- Generative AI & Prompt Engineer
- Machine Learning Engineer
- Miuul Datascience Bootcamp(4months)
- IBM Data Science Professional
