I'm an MSc Artificial Intelligence graduate with real-world experience in Data Science, GenAI, LoRA/PEFT LLMs, RAG Pipelines, Vector DBs (FAISS), iOS Development, and Machine Learning. Passionate about building human-first AI solutions. Currently seeking an AI/ML Engineer | Data Scientist role in the UK with skill worker visa sponsorship.
A production‑style system that detects suspicious transactions (tabular ML), generates bank‑tone explanations using a LoRA‑fine‑tuned LLM, and answers policy questions via RAG. Everything is tracked with MLflow, served via FastAPI, dockerized, and wired with CI + monitoring.
Designed to show senior‑level ownership across DS, LLMs (PEFT), and MLOps for a bank context.
LangChain LLM + RAG + VectorDB DB + HuggingFace Models assistant to help tourists explore smarter and faster.
A simple chatbot that learns from user interactions and stores knowledge in a JSON file. Every time you teach it something new, it remembers for future conversations. Uses Fuzzy Matching with difflab.get_close_match.
"Dog? Cat? Rabbit?" — powered by Swift + Xcode + CreateML + CoreML.
Built an image recognition app using Apple’s pre-trained InceptionV3 model to identify whether a photo is of a HotDog. A fun exercise in integrating ML into mobile inspired by Silicon Valley (The TV Series).
Basic NLP pipeline to classify sentiment from social media text.