ML Engineer with 2 years of experience in an R&D environment, specialising in medical imaging. Passionate about solving complex problems using AI. Aspiring Data Scientist and ML Engineer eager to drive innovation through data-driven insights.
01 Apr 2025 - Currently Working 4 Months
Pearson . Part Time
Description: As an Examiner for Digital Design and Production at Pearson, I assess student submissions to ensure they meet the required standards. My role involves marking students exams accurately, maintaining consistency in grading, and participating in standardisation activities. By providing fair and constructive feedback, I help support student learning and ensure the integrity of the assessment process. This position allows me to apply my expertise in digital design while contributing to the development of future industry professionals.
01 Jan 2024 - Currently Working 2 Years
University of Hertfordshire . Contract
Description: As an IT Lecturer I am responsible in shaping the academic journey for students specializing in the dynamic domains of software engineering and design. I teach OOP, UI/UX, Applied Programming, Project Management, WB: Supervision
01 Oct 2023 - 03 Oct 2023 2 Days
Easy A
Description: In the hackathon, my team participated with our ideas for sBTC (using Stack to make smart contracts for our solutions) and Shark tank (Ideation Path). Our concept aimed to assist investors in discovering small businesses in emerging countries through smart contracts, utilizing AI to compare qualitative and quantitative data.
20 Aug 2023 - Currently Working 2 Years
NHC . Contract
Description: • Providing support to ensure smooth operations for over 150 adult learners for all 16+ courses. • Use data analysis to assess learner progress and outcomes, identify areas of improvement, and implement actionable strategies to enhance engagement. • Collaborate with senior management to optimize operational workflows and develop innovative solutions. • Implemented storytelling techniques to present insights on learner engagement and success metrics. • I am responsible in shaping the academic journey for students across BTEC/OCR Level 3, Esports, Access to HE and T Level.
01 Jul 2023 - 31 Dec 2024 2 Years
University of Hertfordshire
Description: Neural Networks and Machine Learning: Proficient in developing and applying neural networks and machine learning models to solve complex problems in medical research. Deep Learning and Transformers: Specialize in deep learning, particularly using Vision Transformers (ViTs), for medical image analysis. Image Processing: Extensive experience in image processing, applying advanced statistical analysis to extract meaningful insights from medical images. Research and Publications: 1. Bin Mazhar, A. and Yaqoob, M. (2024) Analysis of Microscopic Blood Smear Images for Anaemia Classification Using Deep Learning (forthcoming). 2. Bin Mazhar, A. (2024) A Deep Learning Approach for Red Blood Cells Classification for Computer-Aided Anaemia Diagnosis (forthcoming abstract). 3. Efficient Optimization of Deep Learning Networks for Anaemia Classification (working journal paper).
01 Jun 2023 - 31 Aug 2024 1 Year
Reach Cambridge . Contract
Description: I teach tester courses for University of Cambridge. It's a 2 month course where I teach Web Design, Fundamentals of Programming, Robotics (Ardrino), Mathematics and other STEM courses
01 Jun 2023 - 03 Jun 2023 2 Days
Easy A
Description: Participated in the EasyA Hackathon, where my team clinched first prize for our project, BankVerse. BankVerse is a groundbreaking parachain platform designed for DAOs and governments aiming to adopt digital currencies. Built on Substrate blockchain SDK technology, it overcomes performance limitations for seamless and efficient financial operations. Leveraging our own parachain, we offer a tailored solution to enhance digital currencies' functionality and user experience, while benefiting from the security of Polkadot L0 and the broader interoperability within the PolkaDot ecosystem.
01 Nov 2022 - 01 Jun 2023 7 Months
Herts Sports Partnership . Part Time
Description: My main activities were Data Scrapping and maintaining moving more Web Application
01 Sep 2022 - 30 Sep 2022 29 Days
The Sparks Foundation . Contract
Description: I conducted an extensive exploratory data analysis (EDA) to understand the structure, patterns, and key insights within the given dataset. This involved data cleaning, handling missing values, identifying outliers, visualizing distributions, and analyzing relationships between variables using statistical and graphical methods. After gaining insights from EDA, I applied multiple machine learning models to make predictions for the given tasks. Specifically, I utilized: - Linear Regression: To model and predict continuous outcomes by establishing relationships between dependent and independent variables. - K-Nearest Neighbors (KNN): To classify or predict values based on the similarity of nearby data points, leveraging distance-based calculations. - Decision Trees: To create a structured and interpretable model that makes predictions based on sequential decision rules, capturing non-linear relationships effectively. Each model was evaluated for accuracy, performance, and suitability for the given problem, ensuring that the best approach was chosen for reliable predictions.
01 Apr 2022 - 01 Jul 2022 3 Months
AUTOPART HUB LTD
01 May 2021 - 30 Jun 2022 1 Year
CASPR Dynamics . Contract
Description: • Developed and maintained web applications using AWS, Django REST, and React Native • Built APIs for cross-platform integration and optimized system performance • Implemented monitoring tools and dashboards using data visualization frameworks • Worked in Agile teams and participated in design and architecture decisions
MSc - Computer Sciences
September, 2022 - October, 2024
Grade: Distinction
University of Hertfordshire
BCSE - Software Engineering
September, 2018 - June, 2022
Grade: 3.3
Foundation University Islamabad (FUI)
FSC - Others
January, 2016 - June, 2018
Army Public School - (APSACS)
National University of Sciences and Technology (NUST)
01 Jun 2022 -
Course Credentials14 Aug 2024
Issued By: University of Hertfordshire
03 Jun 2023
Issued By: Easy A
16 Jun 2022
Issued By: EME College
Speaking: Advanced | Listening: Advanced | Reading: Advanced | Writing: Intermediate