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SR

Shaik Riyan

B.Tech CSE (AI & ML) student · Aspiring Software Engineer / AI-ML Developer

Kapurthala, Punjab, India

@shaik_riyan

0 followers

🎓 Bachelor of Technology in Computer Science and Engineering (AI & ML) at Lovely Professional University · Graduating 2028

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About

Computer Science and Engineering student specializing in AI & ML, with hands-on experience in Python, C++, Java, Flask, and machine learning projects. Completed an internship and multiple training programs, with a focus on problem solving, collaboration, and continuous learning.

Experience

  • Intern – Training in Artificial Intelligence
    Externs Club
    Sep 2024 – Oct 2024

    Inspected product quality and supported quality-control activities to identify defects and maintain production standards. Analyzed quality-related data and assisted with inspection procedures, documentation, and process monitoring. Strengthened practical quality-control and analytical skills, gaining industry exposure to manufacturing quality processes.

Education

  • Bachelor of Technology
    Lovely Professional University
    Computer Science · Aug 2024 – Jul 2028
  • General
    Narayana Junior College
    Jun 2022 – Jun 2024
  • Matriculation
    Sri Chaitanya High School
    Apr 2021 – Apr 2022

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C Java NumPy Flask Python Pandas Regression scikit-learn Jetpack Compose Machine Learning Operating Systems Android development Artificial intelligence Data Structures and Algorithms

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Linux GitHub Amazon Web Services AWS

Projects

  • Advanced Disk Scheduling Simulator
    C++, Operating Systems, Disk Scheduling Algorithms, Data Structures & Algorithms

    Designed an Advanced Disk Scheduling Simulator for efficient disk I/O request management. Developed a C++ simulator to implement disk scheduling algorithms and analyze disk-head movement. Evaluated algorithm performance based on seek time and head movement efficiency.

  • Smart Building Energy Consumption Forecasting using Regression Model
    Python, Pandas, NumPy, Scikit-learn, Machine Learning, Regression

    Developed a regression-based machine learning model to forecast building energy consumption using historical data. Analyzed data preprocessing and regression techniques to identify patterns and generate reliable energy predictions. Achieved an R² score of 0.94, demonstrating strong predictive performance for building energy consumption forecasting.

Courses & certifications

  • Fundamentals of Machine Learning and Artificial Intelligence · AWS Training and Certification · 2026
  • Master Android Development with Kotlin & Compose and Live Industry Projects · Humble Coders · 2026
  • Linux Operating System Fundamentals · LPU

🏆 Achievements & awards

  • Participated in LPU Hackathon AIESEC 2024 – “Create Futuristic Solutions.” · 2024

    Certificate

  • Developed and maintained 6 technical repositories on GitHub

    Showcasing hands-on programming and project development.

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