Professional Overview
Motivated Computer Engineering undergraduate with hands-on experience building production-grade AI/ML applications, LLM pipelines, and autonomous AI agents. Proficient in Python, TensorFlow, Scikit-learn, and cloud platforms (AWS, GCP, IBM). Oracle Certified (x2) in Cloud AI and AI Agent Studio.
Experience
AI Expertise
Skills
Employment Type
Education
Field of Study: Computer Science
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.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
