Professional Overview
Results-driven ML Engineer with extensive experience in backend development, cloud computing, and a proven track record of thriving in fast-paced startup environments. Skilled in building scalable systems, optimizing backend processes, and leveraging modern frameworks, cloud platforms, and database management to drive efficient solutions.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
