Salih Gundogan

Work with the IT team to develop AI accelerated networking application. Consult the developer team on best tools and approaches for AI accelerated app development. Consult the IT team on how best to adapt relevant AI technologies to improve club management.

Pioneered the concept and establishment of the world's first-ever club focused on prompt engineering, recognizing the significance of this emerging domain in AI and NLP. Successfully established and presided over the world's premier Prompt Engineering Club, setting a benchmark for academic institutions globally. Organized hands-on workshops, guest lectures, and hackathons to actively engage member

Leveraged Python libraries and sophisticated techniques to mine comprehensive data sets from Mastodon and architected a robust system for data storage in JSON format. Employed tools like networkx for impactful data visualization and conducted meticulous analysis on various network metrics. Seamlessly integrated advanced LLMs, such as Llama2 and Alpaca, and pioneered prompt engineering for precise

Engineered a robust and scalable backend using Node.js and deployed SQLite and MongoDB for efficient data storage, ensuring seamless user interactions and high performance. Developed intuitive RESTful API endpoints to handle user requests, content uploads, and interactions, highlighting modular and maintainable code practices. Integrated user engagement features like posts, comments, likes, and pr

Created a chatbot with storytelling, humor, and Q&A abilities, utilizing NLTK for language enhancement and a Naïve Bayes Classifier for efficient text classification. Augmented chatbot to seamlessly merge language and image processing capabilities, elevating user experience. Enabled real-time image loading for users and integrated preset images for the chatbot, with OpenCV-driven edge filtering, c

Integrated pre-trained open-source models to develop a versatile multilingual voice assistant, demonstrating the ability to combine various AI technologies and Large Language Models. Engineered the assistant for local deployment with customizable setup and developed an intuitive visual interface for effortless user interaction. Implemented advanced voice recognition and fine-tuned parameters for m

Utilized OpenCV for dataset curation and image augmentation, emphasizing data quality. Designed and trained an image classifier using PyTorch, demonstrating proficiency in neural networks. Optimized model parameters for enhanced accuracy and efficiency and prepared the model for potential real-time applications, showcasing adaptability.

Built and developed autonomous model sized self-driving car using Machine Learning. Gained experience with AWS, developing training models and experience with NVIDIA machine learning specialized hardware.