User Profile Image

Ahmed Bin Mazhar

Machine Learning Engineer

Basic Info
  • Career Track: Data Science >> Machine Learning
  • Public Username: ahmed-mazhar-
  • Region: Jabal os Saraj, Parwan, Afghanistan
  • LinkedIn: View
About

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.

Skills
Loading skills...
avatar
avatar
avatar
avatar
avatar
avatar
avatar
avatar
avatar
avatar
Loading...
  • Go-Getter
  • Self-Searcher

Experiences

  • Person Examiner (T Level Digital & BETC Nationals)

    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.

  • Lecturer

    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

  • Stacks | Easy A Bitcoin | AI Hackathon

    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.

  • IT Lecturer

    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.

  • AI Researcher

    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).

  • Computer Science Teacher

    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

  • Easy A Polkadot Hackathon

    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.

  • Community Sport Ambassador

    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

  • Data Scientist

    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.

  • Intern

    01 Apr 2022 - 01 Jul 2022 3 Months

    AUTOPART HUB LTD

  • Software Engineer Intern

    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

Education

  • 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)

Certifications

Awards

  • Go Herts Gold Award

    14 Aug 2024

    Issued By: University of Hertfordshire

  • 1st Position (EasyA Hackaton)

    03 Jun 2023

    Issued By: Easy A

  • 1st Merit Position at COMPPEC

    16 Jun 2022

    Issued By: EME College

Languages

  • English

    Speaking: Advanced | Listening: Advanced | Reading: Advanced | Writing: Intermediate

Interests

  • Deep Learning
  • Machine Learning
  • Data Science
  • LLM
  • Artificial Intelligence
Suggested Connections
Loading...
No records found!
Communities View All
Loading...
No records found!

Other Communities View All
Loading...