Professional Overview
Detail-oriented Data & AI Solutions Engineer with hands-on experience for three years experience leading the end-to-end lifecycle of machine learning and data projects. Skilled in designing, developing, and deploying AI-enabled solutions, ensuring successful transition from prototypes to scalable production systems. Proficient in Python, building d
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- • Led the end-to-end lifecycle of an AI-enabled text extraction system.
- Integrated and optimized PaddleOCR to enhance text recognition performance.
- • Developed a computer vision solution for detecting unhealthy plant leaves
- Developed and optimized data pipelines and real-time machine learning workflows
Education
Field of Study: Data science and artificial intelligence
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.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
