Professional Overview
Results-driven Senior AI Engineer with over 9 years of experience building scalable, production-grade applications. Expertise in designing and deploying Agentic AI systems, LLM-powered applications, and MLOps pipelines. Proven track record of combining full-stack development excellence with emerging technologies, including Blockchain/Web3 solutions
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Led the design and development of a Food delivery service platform.
- Executed and preserved application state management using Redux-toolkit
- Optimized application performance through code splitting and lazy loading
Key Achievements / KPIs
- Enforced and sustained authentication and authorization methods (JWT, OAuth)
- Wrote and maintained unit, integration, and end-to-end tests with Cypress and Mo
Education
Field of Study: Software Engineering, Machine Learning
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.