Professional Overview
I’m an AI enthusiast specializing in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Large Language Models (LLMs). I use Python, PyTorch, and modern AI frameworks to develop intelligent applications, automate processes, and build scalable AI solutions that solve real-world problems.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built automated workflows using n8n to streamline repetitive tasks.
- Trained and evaluated machine learning models for real-world applications.
Key Achievements / KPIs
- Successfully built end-to-end automation workflows using n8n.
- Integrated AI capabilities into automated processes to improve efficiency.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built automated workflows using n8n to streamline repetitive tasks.
- Trained and evaluated machine learning models for real-world applications.
Key Achievements / KPIs
- Successfully built end-to-end automation workflows using n8n.
- Integrated AI capabilities into automated processes to improve efficiency.
Education
Field of Study: Artificial Intelligence and Machine Learning
Field of Study: AI & Data 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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.