Professional Overview
Innovative and forward-looking AI Engineer with a solid base in Computer Science, pursuing expertise by obtaining a Master's degree in Augmented & Virtual Reality. I have pervasive knowledge in Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Data Science, Generative AI, and Large Language Models (LLMs). Skilled in designing innovative AI solutions, such as Retrieval-Augmented Generation (RAG) systems, and adept at transforming complex challenges into scalable, impactful AI models. Committed to using AI to solve real-world problems and contributing to technological advancements.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
