Professional Overview
AI Engineering specialist with hands-on experience in machine learning algorithm development, RAG systems, and full-stack data applications. Currently completing advanced AI Engineering training with PublicaAI GenAI Fellowship, with proven ability to build end-to-end ML solutions using Python, TensorFlow, and PyTorch. Skilled in client engagement, data pre-processing, and translating business requirements into technical solutions. Experienced in developing predictive models, deploying interactive data applications with Streamlit, creating data visualizations with Tableau and Power BI, and managing SQL databases. Strong background in collaborative problem-solving and delivering data-driven insights for stakeholder decision-making.
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.
