Skip to content
View Adam4991's full-sized avatar
🧩
Brainstroming
🧩
Brainstroming

Highlights

  • Pro

Block or report Adam4991

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Adam4991/README.md

🧠 Adam S β€” Engineering the Future

Typing SVG

πŸ‘‹ About Me

I'm Adam, a software developer and engineer who thrives on solving edge-case problems and building systems that work under real-world constraints. I specialize in:

  • 🌐 Web development using HTML, JSP, React, PHP, and JavaScript
  • ☁️ Cloud architecture with Azure, including RBAC roles, resource groups, and service orchestration
  • πŸ’» Programming in Java and SQL, with a focus on logic puzzles and constraint-based debugging
  • 🧠 Adapting systems for usability, accessibility, and non-standard workflows

I enjoy refining code, improving user experience, and making technical systems more robust and intuitive.


πŸ› οΈ Skills & Technologies

Category Tools & Expertise
πŸ’» Programming Java, SQL, logic puzzles, waveform array debugging
🌐 Web Development HTML, JSP, React, PHP, JavaScript, DevTools, form validation, accessibility
☁️ Cloud Services Azure Resource Groups, RBAC, Cognitive Services, service orchestration
🧠 Engineering Focus Constraint-based problem solving, UI/UX adaptation, quiz/exam scenario optimization

πŸ“Š GitHub Statistics

πŸ“… Joined GitHub on November 29, 2023 β€” actively building and refining software projects.


πŸš€ Featured Project

A machine learning-based system that predicts anemia severity using CBC (Complete Blood Count) data.

Highlights:

  • πŸ“Š Data preprocessing, cleaning, and exploratory analysis
  • 🧠 Trained multiple ML models: Logistic Regression, Decision Tree, Random Forest, SVM, KNN
  • πŸ† Random Forest selected for highest accuracy and AUC score
  • πŸ“ˆ Evaluation metrics: Accuracy, Precision, Recall, F1-Score, AUC
  • πŸ§ͺ Built as part of a Data Science mini project for clinical insight and early detection

🎯 Current Focus

  • Preparing for Learnathon 2025 with emphasis on cloud services, web architecture, and diagnostic reasoning
  • Expanding proficiency in Azure orchestration, including service dependencies and RBAC role design
  • Refining code for edge-case logic puzzles and constraint-heavy programming challenges
  • Improving accessibility and usability in web systems for non-standard user scenarios

✨ Philosophy

β€œPrecision under constraint is the true test of clarity.”
I believe in building software that adapts to real-world limitationsβ€”not just ideal conditions.


πŸ“¬ Connect

I'm always open to collaboration, learning, and solving meaningful tech challenges.

LinkedIn Badge Outlook Badge

Popular repositories Loading

  1. food-delivery-website food-delivery-website Public

    CSS

  2. blog-application blog-application Public

    TypeScript

  3. task-management-website task-management-website Public

    JavaScript

  4. internet-programming internet-programming Public

    Java

  5. full-stack-web-devlopment full-stack-web-devlopment Public

    HTML

  6. anemia-severity-predictor-based-on-cbc anemia-severity-predictor-based-on-cbc Public

    A machine learning-based system for Anemia Severity Prediction based ob CBC (Complete Blood Count) to categorize patients into four distinct severity levels which my Mini project for Data Science.

    Python