Professional Overview
AI Engineer with a strong foundation in Artificial Intelligence, Machine Learning, Generative AI, and Software Engineering. Passionate about building intelligent, scalable, and impactful solutions using Python, LLMs, NLP, and automation. A continuous learner who thrives on solving complex problems, adapting to emerging technologies.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Designed AI-driven content automation workflows using ChatGPT and Claude.
- Integrated Generative AI-assisted processes for content ideation, tone
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Designed AI-driven content automation workflows using ChatGPT and Claude.
- Integrated Generative AI-assisted processes for content ideation, tone
Education
Field of Study: AI ML
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.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
