Simon Benedict

I have significant experience with Python across various projects. I'm proficient in building web applications using FastAPI and Flask, and I've worked on machine learning projects using common frameworks like scikit-learn, PyTorch, TensforFlow and Transformers. Recently, I've been focusing on LLM applications, particularly RAG systems and agentic workflows, exploring prompt-chaining frameworks like LangChain, DSPy and AutoGen in my personal projects.

I'm proficient in data manipulation and analysis using Pandas and NumPy. I have experience creating visualizations with Matplotlib and conducting basic statistical analyses. I've worked with various data formats and frequently use Jupyter notebooks for data exploration and analysis in my projects.

I've developed a strong foundation in Machine Learning and Deep Learning, primarily using Python. I've implemented various ML algorithms and built deep learning models like CNNs and VAEs. My recent focus has been on Large Language Models (and NLP more generally), working with APIs from OpenAI, Anthropic and similar, and hosting models locally using llama.cpp.

I studied Java for three semesters at university, gaining a solid foundation in object-oriented programming. While I use Java less frequently now, the concepts I learned have been valuable in understanding software architecture across different languages and inform my approach to programming problems.

I've worked with JavaScript in both academic and personal projects, gaining familiarity with its core concepts and DOM manipulation. For frontend development, I use JavaScript and TypeScript with mostly with React and Next.js. I'm continuously expanding my skills in this area.

I have a strong grasp of HTML and CSS, which I use regularly in personal and academic projects. I've also gained experience with TailwindCSS for creating responsive designs.

My studies provided a solid foundation in database concepts and design, working with SQL (MySQL & SQLite), PHP, and Java for relational databases. For NLP projects, I've explored vector databases like ChromaDB and Pinecone.

I have practical experience with Google Cloud Platform from using it in my personal projects. Additionally, my bachelor's studies provided me with a theoretical understanding of cloud concepts.