Professional Overview
I'm a software engineer specialized in ML and distributed systems. I help teams build and scale AI infrastructure, from training pipelines and LLM fine-tuning to production backend systems. I've worked across security AI, cloud data pipelines, and enterprise AI products, and I'm most effective when working close to the technical core of a product.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built data pipelines for agentic workflow orchestration systems
- Developed automated slide generation pipeline for global clients
- Handled data preparation and fine-tuning pipelines for LLM projects
Key Achievements / KPIs
- Delivered AI pipelines across 3 projects for global enterprise clients
- Fine-tuned LLMs reducing manual data preparation time significantly
- Built agentic orchestration systems deployed in production environments
- Automated slide generation pipeline adopted across multiple client teams
Education
Field of Study: Artificial Intelligence
Field of Study: Computer 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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
