Professional Overview
AI/ML Engineer and Software Engineer with experience building end-to-end AI applications, computer vision systems, Retrieval-Augmented Generation (RAG) pipelines, and full-stack software solutions. Strong background in Python, machine learning, deep learning, and Flutter application development. Experienced in taking projects from data collection.
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.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
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.
