Professional Overview
Machine Learning Engineer and NLP specialist with professional experience in developing AI-driven applications, transformer-based NLP systems, and data processing pipelines. Experienced in Python, PyTorch, Hugging Face Transformers, and scikit-learn, with hands-on expertise in fine-tuning BERT, DistilBERT, and T5 for document question answering and text classification. Strong background in model evaluation, information retrieval, reinforcement learning, and software engineering. Currently pursuing a Master's degree in Big Data and Artificial Intelligence, with a strong interest in building reliable, scalable ML and LLM-powered solutions.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
