Professional Overview
AI Infrastructure Engineer and founder with 3+ years of experience building production AI systems across LLM infrastructure, distributed training, inference, and computer vision. Currently building RailCompute, an AI infrastructure platform for autonomous GPU orchestration, while contributing to production AI infrastructure at BrainDrive. Experienc
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.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
