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Sami Julani

Sami Julani

First Class Artificial Intelligence and Data Science graduate with experience developing machine learning solutions, predictive models and AI automation systems

Talent
ManchesterMember since July 16, 2026
PythonSQLPredictive modellingClassificationRegressionNatural language processingFeature engineeringMachine learning lifecycleLarge Language ModelsAI agentsMultimodal AISupport Vector MachinesDecision treesK-nearest neighboursNaive BayesTF-IDF feature extractionText preprocessing
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PythonSQLPredictive modellingClassificationRegression

About

First Class Artificial Intelligence and Data Science graduate from Manchester Metropolitan University with experience developing machine learning solutions, predictive models and AI automation systems. Skilled in Python, R and SQL, with practical experience across the machine learning lifecycle including data preparation, feature engineering, model development, evaluation and optimisation. Experienced in building AI-driven workflows using large language models, multimodal AI and agent-based architectures through a research project focused on automated feedback generation.

Strong interest in machine learning engineering, MLOps and developing scalable data-driven solutions that improve business processes.

Experience

Research Assistant, AI Agent-Based Automatic Feedback Generation Project - Manchester Metropolitan University - Manchester, UK

Worked on the development of an AI-powered feedback generation system using large language models and agent-based workflows. Designed automated pipelines for processing academic documents, extracting information and generating structured feedback. Explored modern AI engineering approaches including multimodal models, local LLM deployment and multi-agent architectures.

Used Python-based workflows and GitHub collaboration to support development, testing and research documentation. This project developed my understanding of building reliable AI systems, improving automation processes and applying machine learning technologies beyond traditional modelling tasks.

Quality and Engagement Administrator - Manchester Metropolitan University - Manchester, UK

Analysed operational information and maintained accurate datasets to support university processes. Used Excel and data analysis techniques to identify trends, improve reporting accuracy and support decision-making. Worked with internal stakeholders to communicate findings clearly and improve administrative workflows.

Student Lab Demonstrator - Manchester Metropolitan University - Manchester, UK

Supported students with programming and computing concepts, helping them understand technical problems and develop solutions. Strengthened my ability to communicate complex technical ideas clearly while working collaboratively.

Education

BSc (Hons) - Artificial Intelligence and Data Science - Manchester Metropolitan University

Skills

predictive models and AI automation systems

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