Professional Overview
Mid-Level AI/ML Engineer with hands-on experience in developing and implementing AI/ML solutions, building predictive models, and working with data-driven applications. Skilled in Python, machine learning, deep learning, model training, evaluation, and optimization, with practical knowledge of frameworks such as TensorFlow, PyTorch, and Scikit-learn. Familiar with NLP, generative AI, LLM integration, and deploying intelligent solutions to address real-world business challenges. Passionate about exploring emerging AI technologies and delivering scalable, efficient, and impactful 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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.