Professional Overview
AI/ML Engineer with a strong background in developing cutting-edge machine learning systems.Developing deep learning models for natural language processing that enable the platform to understand and respond to user queries with high accuracyImplementing reinforcement learning algorithms to optimize the platform's performance and decision-making capabilities over timeproficient in Python, C and has expertise in machine learning libraries like TensorFlow, PyTorch, and scikit-learn. Keeps myself updated with the latest advancements in AI and ML by regularly attending industry events and online courses
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.
