Experience
Machine Learning
Data Science
Full Stack Development
Machine Learning Engineer & Data Scientist
I design and ship end-to-end ML systems — from data pipelines and model training to production APIs that hold up under real traffic.
Get to know more
Machine Learning
Data Science
Full Stack Development
M.Sc. Data Science
B.Sc. Computer Engineering (Software)
Data Scientist & ML Engineer (MSc) with 4 years of experience across software and machine learning, including 3 years in industry. I build end-to-end systems spanning data pipelines, model training and serving, and production APIs (Flask, FastAPI), using PyTorch and Graph Neural Networks (PyG), with Dockerised CI/CD and automated testing. Recently delivered a multi-dataset ML pipeline and KPI dashboards at Azaries, improving development speed and model generalisation.
What I work with
Browse my recent
End-to-end preprocessing and training pipeline with reproducible runs and automated testing.
Transformer-based text classification using RoBERTa, with fine-tuning and evaluation tooling.
Cloud-based analytics on market data with automated ingestion and visual reporting.
Predictive business analytics with statistical modelling and decision-support reporting.
Exploratory analysis and predictive modelling on clinical data, with feature engineering.
Relational schema design and normalisation with query optimisation for analytical workloads.
Get in touch
Open to ML engineering and data science roles, and to collaborating on interesting problems. The fastest way to reach me is email.