Professional Overview
A competent and highly motivated ML Software Engineer with expertise in cutting-edge AI technologies, algorithms, and products. Passionate about driving innovation and solving complex problems through advanced solutions like LLM, RAG, machine learning, computer vision, and image processing algorithms.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Data labeling
- Model Training
- Algorithm writing
- Debugging and Optimization
- Document Writing
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Data Labeling
- Model Training
- Model testing and implementation in real application
- Algorithm Writing
- Debugging and Optimization
Key Achievements / KPIs
- Build Algorithm based on ML and Computer vision method for Anomoly detection
Education
Field of Study: Electronics, Communication Systems, Computer Vision
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 Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
