Professional Overview
I am ML engineer specializing in optimized machine learning piplines. I am engineering MiniTensor, a completely dependency free C++ matrix compute and machine learning engine built entirely from scratch to master multi-dimensional striding, memory layout constraints, and cache locality.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Designed evaluation tracks to capture unexpected model regression
- Isolating errors within labeling pipeline and patters for failures
- Evaluate model inference and document behaviors for embedded systems
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built a high-performance record parsing and sorting tool
- Redesigned legacy ETL pipelines to a custom DSL engine
Key Achievements / KPIs
- End-to-end processing time from 4 hours down to 22 minutes
Education
Field of Study: Machine learning & AI
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.
