Profile of Irfan Yaqub
Irfan Yaqub Android Developer/ AI Developer Professional Summary
Irfan Yaqub is an AI developer with a background in Android app development and a strong focus on applied machine learning. He possesses experience in constructing deep learning models for computer vision, NLP, medical imaging, and biomedical signal analysis. As a research assistant at the University of Nottingham, he has contributed to the development of LLM-based educational tools and has a published paper at ICETC 2024.
Skills
- Programming Languages: Java, Python, Kotlin, SQL, XML.
- AI & Machine Learning:
- CNNs, Regression Models, Classification Algorithms, NLP, Prompt Engineering.
- Large Language Models (Pythia, T5, DistilBERT).
- Computer Vision, Biomedical Signal Processing.
- CNNs, Regression Models, Classification Algorithms, NLP, Prompt Engineering.
- AI Frameworks & Libraries: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, NumPy, pandas, OpenCV.
- Software Development:
- Architectures: MVC, MVVM, MVP.
- Tools: REST APIs, Google APIs, Room Database, Firebase.
- Authentication: Custom Authentication (Google, Facebook, Email).
- Architectures: MVC, MVVM, MVP.
- Cloud & Tools: Google Cloud Platform (GCP), Google Colab, Jupyter Notebook, Kaggle, PyCharm, VS Code, and Android Studio Git.
- Data & Product Skills: Data Analysis & Visualisation, Marketing Analytics, Feature Specification, Requirement Analysis, User Research, Feedback Analysis.
Experience
Research Assistant | The University of Nottingham | May 2024 – Dec 2024
- Advised educators and researchers on designing effective prompts for large language models to improve AI-generated responses.
- Leveraged expertise in NLP and AI to enhance the usability of automated feedback systems.
Research Assistant | The University of Nottingham | March 2023 – May 2024
- Implemented LLMs like Pythia 70M, T5, and DistilBERT to create an automatic feedback system.
- Published a conference paper at ICETC 2024 and submitted a systematic review to a Q1 journal.
Android App Developer (Part-time) | Studyo.io | Jan 2021 – Jan 2024
- Led the development of the “Studyo Math” educational app, achieving over 100,000 downloads in 7 months with a 4.7-star rating.
- Developed a companion app, “Studyo Teacher,” using the same technologies.
- Directed the feature roadmap, conducted user research, and optimized app retention.
Android App Developer | Elastic Brains | Dec 2019 – Dec 2020
- Contributed to the “Formee App,” a multi-feature personal assistant with e-commerce, job search, and reservation capabilities.
- Utilized MVP architecture, REST APIs, and third-party authentication.
- Integrated payment systems, caching, and a QR scanner using Java, XML, SQL, and Retrofit.
Android App Developer | Soft Solutions | Nov 2018 – Nov 2019
- Developed and enhanced two high-traffic educational apps, “Exam Results” and “Past Papers,” used by over 1 million users.
- Redesigned the UI/UX and database schemas for four legacy applications, increasing user engagement.
Projects
- Psychosis Detection from MRIs using CNNs: Developed a predictive system to assist in the early diagnosis of psychosis by analyzing MRI scans with CNNs.
- Apnea Detection: Created a machine learning model to detect sleep apnea from physiological data by processing biomedical signals and applying classification algorithms.
- Bulldozer Price Prediction: Built a regression model to estimate the resale price of bulldozers using historical sales data and feature engineering.
- Dog Breed Classification: Implemented a CNN-based deep learning model to classify dog breeds from images.
Education
PhD in Computer Science | University of Nottingham Malaysia | Currently in Year 3
- Research focuses on an automatic, rubric-based feedback system for educational assessment using fine-tuned large language models.
MPhil, Computer Science | Lahore Leads University
- Thesis: A Novel Venue Recommendation System for Research Paper Publishing
Extra-Curricular Activities
- President of the Chowdary Rahmat Ali Foundation: Managed events, engaged with organizations, and oversaw the team for a welfare organization. The foundation provided food and medical aid to families affected by the pandemic.
Portfolio
Work History (0)
Education
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