Professional Overview
Machine Learning Engineer with over 7 years of experience building and deploying deep learning models using TensorFlow, PyTorch, and other frameworks. Skilled in Feature Engineering, Natural Language Processing (NLP), computer vision (CV), and data science, with capabilities in data preprocessing, feature engineering, and model tuning. Proficient in Python, R, with experience in cloud platforms (AWS, Google Cloud, Azure) and backend frameworks
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
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.
