About
Highly skilled AI Engineer and Data Scientist with a Bachelor of Engineering in Computer Engineering, specializing in Machine Learning, Deep Learning, and Large Language Models. Proven ability to design, develop, and deploy innovative AI solutions, optimize data pipelines, and drive impactful outcomes across diverse projects. Expertise spans enhancing operational efficiency, developing advanced computer vision systems, and implementing natural language processing applications. Seeking to leverage deep technical knowledge and problem-solving capabilities to contribute to cutting-edge technological advancements.
Work
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Summary
Developing and deploying advanced AI-based tools and chatbots to enhance operational efficiency and user experience for Isbank and Softtech.
Highlights
Developing and deploying AI-driven solutions, including advanced chatbots, for Isbank and Softtech, significantly enhancing operational efficiency and customer engagement.
Implementing cutting-edge AI technologies to create scalable tools that address complex business challenges and drive digital transformation.
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Summary
Took part of the design, development, and deployment process of innovative AI/ML products and robust data pipelines, driving efficiency and new solution capabilities.
Highlights
Designed and developed innovative AI/ML products leveraging Large Language Models (LLMs) and Deep Learning models, driving new solution capabilities and business value.
Managed end-to-end project deployment utilizing CI/CD pipelines, ensuring seamless integration and accelerated delivery of AI solutions.
Developed and automated robust ETL pipelines for seamless data integration and preprocessing, enhancing data quality and model performance.
Built a Retrieval Augmented Generation (RAG)-based Ground Operations Chatbot, providing efficient, AI-driven solutions for over 1,000 personnel, and developed an AI Mail Automation system using GPT and Flux.ai for personalized communications.
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Summary
Contributed to core Computer Vision and Speech Recognition projects, applying fundamental AI/ML algorithms to develop innovative solutions.
Highlights
Developed and optimized machine learning models for Computer Vision and Speech Recognition applications, enhancing system capabilities.
Applied theoretical knowledge to practical AI challenges, gaining hands-on experience with industry-standard tools and frameworks like Torch and OpenCV.
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Summary
Applied Deep Learning algorithms to solve real-world problems in OHS regulation compliance, image processing, and predictive analytics.
Highlights
Implemented Deep Learning algorithms for the detection of OHS regulation non-compliance, significantly improving safety protocol adherence.
Developed an Image Search Engine integrated into Dogus Products using Deep Learning, enhancing product search functionality and user experience.
Created an Optical Character Recognition (OCR) application capable of extracting car chassis numbers from camera feeds, streamlining data capture processes.
Developed a predictive model for store visitor forecasting, providing data-driven insights for optimized operational planning.
Volunteer
inzva
|Deep Learning Study Group Participant
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Summary
Actively participated in a Deep Learning study group, collaborating with 25 peers to master advanced concepts and methodologies.
Highlights
Actively studied Andrew Ng's Deeplearning.ai course alongside 25 group mates, fostering collaborative learning in deep learning methodologies and practical applications.
Languages
Turkish
English
Skills
Machine Learning & AI
Machine Learning, Deep Learning, Large Language Models (LLM), Natural Language Processing (NLP), Computer Vision, Transformers, OpenAI, LangChain, RAG.
Data Science & Analytics
Data Modeling, Data Analysis, ETL, Data Preprocessing, Pandas, NumPy, Scikit-learn, Matplotlib, Streamlit.
Programming Languages
Python, SQL, C/C++, Object Oriented Programming (OOP).
Cloud & DevOps
Azure Cloud, Git, Docker, CI/CD.
Frameworks & Libraries
Torch, FastAPI, OpenCV, Pyaudio, Vosk, Whisper, OSGeo, NLTK, Selenium.