Hello!

I'm Mohd Abdul Kareem Uddin



A Software Engineer

My works

Name: Mohd Abdul Kareem Uddin

Job Role: Software Enginner

Experience: 1 year

Address: Texas, United States

Skills

SQL 95%
PYTHON 90%
JAVA 80%
Artifical Intelligence 85%
Machine Learning 80%

About Me

Motivated and detail-oriented Computer Science graduate with hands-on experience in software development, data science, and cloud computing. Proficient in Python, data structures and algorithms, machine learning, and AWS cloud services. Skilled in building scalable backend systems, implementing ML models, and performing data analysis. Successfully led academic projects, mentored students as a Teaching Assistant in data structures and programming, and completed a research thesis on hybrid malware detection using Genetic Algorithm and XGBoost. & machine learning. Demonstrated success in leading impactful projects and providing effective mentorship.

  • Profile: SOFTWARE ENGINNER, FULL STACK DEVELOPER & DATASCIENCE
  • Education: Masters of Science in Computer Science
  • Skills: Artificial Intelligence, Machine Learning , Data structure and Algorithm , Object-Oriented Programming Designs,
  • Frontend Tools: Html, CSS, Javascripts, Bootstrap
  • Programming Languages: C++, C, Python, Java, Cloud, MongoDB, PostgreSQL, SQL, RDMS, Node.js, React.js & Go. & SEO
  • Language: English, Hindi,Telugu, Urdu
  • Interest: Traveling, Travel Photography

0 +   Projects completed

LinkedIn

Resume

Graduate in Computer Science from Texas A&M University–Kingsville with strong experience across software engineering, cloud computing, AI/ML, and data analytics. Proficient in Python, C++, data structures, algorithms, and cloud platforms such as AWS and Oracle. Hands-on expertise gained through internships in backend development and AI/ML projects, including deploying cloud-native services and building predictive models. Served as a Graduate Teaching Assistant mentoring students in programming and data structures. Completed a research thesis on hybrid malware detection using Genetic Algorithm and XGBoost, achieving 99.31% accuracy. Recognized with a Dean’s Merit Scholarship and published research in an international journal

Experience


January 2025-May 2025

Texas A&M University-Kingsville

Graduate Teaching Assistant
  • Mentor students in Python, Java, data structures, and algorithms, RDBMS, Object-oriented programming.
  • Led lab sessions and designed course materials and assessment.
  • Assisted in evaluating assignments and delivering constructive feedback to enhance student learning outcomes.
2018-2021

Software Engineer Intern

TechPulse Innovations

TechPulse is a data-driven digital marketing analytics and solutions company, helps top 100 Startup global brands.

  • Built scalable backend APIs using Node.js, TypeScript, PostgreSQL
  • Developed and maintained RESTful APIs for marketing analytics, enabling real-time data insights for clients.
  • Deployed AWS Lambda services to enable serverless execution of backend processes, reducing infrastructure management overhead and improving scalability.
  • Optimized CI/CD pipelines using tools like GitHub Actions and AWS CodePipeline, automating build, test, and deployment workflows to accelerate release cycles and ensure reliable delivery of new features.
October 2021-April 2022

AICTE Edu&Skills

Cloud Engineer Intern (AI/ML)

AICTE Edu Skills is a leading provider of cloud computing and AI/ML training programs, empowering students with hands-on experience in cutting-edge technologies.

  • Completed AWS projects (EC2, S3, Lambda, RDS) to build cloud-native applications and services.
  • Built ML models and performed cybersecurity tasks using Palo Alto tools.
  • Developed a real-time air pollution detection system using IoT sensors and telemetry.


Education


2023-2025

Masters of Science in Computer Science

Texas A&M University-Kingsville

Grade: 3.81(A Grade)

2018-2022

Bachelor of Engineering in Computer Science

Osmania University

Grade: A Grade

Download CV

Projects

Thesis : A Hybrid Malware Detection using Genetic Algorithm and XGBoost

Developed a hybrid machine learning model combining Genetic Algorithm for feature selection and XGBoost for classification to detect malware with high accuracy. Achieved 99.31% detection accuracy and published results in an international journal.

IoT-Based Emission Monitoring

Stack: Python, Arduino, IoT, Cloud Computing

Engineered a real-time IoT solution for vehicle emission tracking with remote diagnostics and wireless telemetry. Increased pollutant detection accuracy by 40% via embedded sensors and live dashboard analytics.

Restaurant Management System

Developed a Restaurant Management System using PHP for backend logic and SQL for database management. Implemented a user-friendly frontend with HTML and CSS, React.js enabling efficient order processing, inventory tracking, and customer management. Integrated data analytics features to generate sales reports and improve operational efficiency.


Heart Disease Prediction

Developed an interpretable ML model using XGBoost and SHAP analysis for heart disease prediction. Achieved 90% accuracy through advanced feature engineering, outlier detection, and data visualization.

0 Achievements
0 Projects
0 Mentored Students
0 Cups of coffee

More projects on Github

I love to solve problems & uncover hidden data stories


GitHub

Contact

Below are the details to reach out to me!

Address

Texas , United States

Contact Number

+1 (361)-595-6763

Email Address

Mabdulkareemuddin@gmail.com

Download Resume

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