Case Studies
From Problem to Working Solution.
Longer write-ups covering the objective, the approach taken and what the finished build actually does.
- Digital Food Ordering Experience
Healthy Kitchen
A customer-facing ordering experience for a food business: browse the menu, discover suitable meals, build a cart and complete checkout on a phone, with each order captured as a record rather than a message.
- React
- TypeScript
- Tailwind CSS
- Database
What was built
- Mobile-first ordering flow
- Structured menu and order model
- Cart and checkout experience
- Orders captured as database records
- Retrieval-Augmented Document Assistant
GenAI RAG Document Assistant
A generative AI application where users upload documents and ask questions about them. Answers are produced from passages retrieved out of the uploaded material, keeping responses tied to source content.
- Python
- LangChain
- LangGraph
- Vector Database
- LLM
- Streamlit
What was built
- Document ingestion and chunking
- Embeddings and vector retrieval
- Context-grounded generation
- Inspectable retrieval step
- NLP Sentiment Analysis Pipeline
Airline Sentiment AI
A natural language processing project that turns airline-related customer text into structured sentiment data so themes can be explored as a dataset rather than read message by message.
- Python
- NLP
- Machine Learning
- Pandas
- scikit-learn
What was built
- Text preprocessing
- Supervised sentiment classification
- Held-out evaluation
- Exploratory analysis of labelled data
- Regression Modelling for Vehicle Pricing
Used Cars Price Prediction
A machine learning project that analyses second-hand vehicle attributes and predicts listing prices, built around a clean dataset and a reproducible evaluation method.
- Python
- Pandas
- Scikit-learn
- Machine Learning
- Matplotlib
What was built
- Data preprocessing
- Feature analysis
- Regression model development
- Documented evaluation methodology
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