Moe Malik

Co-founded an AI consultancy serving 6+ SME clients, delivering end-to-end ML systems and achieving 100% client retention. Designed and deployed forecasting and optimization models, improving prediction accuracy from 74% to 92% and reducing inventory waste by 32%.

Built production ML pipelines for forecasting, NLP, and ranking systems, improving model performance from 74% to 92%. Designed and deployed LLM applications using RAG and developed prompt engineering frameworks reducing hallucination rates by 40%.

Designed, developed, and optimized backend services and APIs using Node.js and React, improving page load times by 23% and supporting 50,000+ active users. Refactored backend logic and optimized database interactions, reducing response latency by ~30%.

Developed and evaluated machine learning models for product matching, classification, and moderation using Python, Pandas, NumPy, and scikit-learn. Built NLP pipelines and designed SQL and Python data pipelines for feature engineering.

Founded and self-funded a business at age 17, achieving profitability within the first 3 months. Acquired and managed 30+ clients, leading digital strategy and campaign execution with increased client engagement of more than 40%.

Delivered 5+ client-facing data and machine learning projects end-to-end, covering data ingestion, cleaning, feature engineering, model training, and evaluation. Processed and analyzed 100k+ records, improving data quality by ~25%.

Activities and societies: Related Coursework: Data Structures & Algorithms, Objects & Design, Computer Organization & Programming, Machine Learning, Artificial Intelligence, Object-Oriented Programming, Statistical Modelling

Pursued a Bachelor's degree in Computer Science with a Specialism in Artificial Intelligence under a dual award program with De Montfort University.