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Apoorva K A

Apoorva K A

B.E. student in Artificial Intelligence and Machine Learning

Mysuru, Karnataka, India

@apoorva_k_a

0 followers

Looking for internships

🎓 Bachelor of Engineering in Artificial Intelligence and Machine Learning at Mysore University School of Engineering · Graduating 2027

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About

B.E. student specializing in Artificial Intelligence and Machine Learning at Mysore University School of Engineering. Has built academic projects in machine learning and Java, with skills in programming, data analysis, and database concepts.

Experience

  • Android developer
    Accord software system private limited company
    Sep 2026 – Present

    I have done gnss status tracker

Education

  • BE
    Mysore University school of engineering
    Awarded by University of Mysore
    Artificial Intelligence and Machine Learning · Sep 2023 – Jun 2027
  • Qualification
    Government PU College Kudige
    Science
  • High School
    Fathima Convent High School Kushalnagara

Skills

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C SQL CSS HTML Java NumPy Python Pandas Kotlin Naive Bayes Random Forest C++ Programming Java Programming Oops Development Android development Python, java, artificiac Web Application Development Data Structures and Algorithms Logistic Regression ( in progress )

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.
Bolt Canva MySQL Claude Perplexity AI Microsoft Word OpenAI ChatGPT Microsoft Excel Oracle Database Jupyter Notebook Visual Studio Code Microsoft PowerPoint

Languages

Fluent Fluent Comfortable using it for work.
Kannada Speak · Read · Write English Speak · Read · Write

Projects

  • Blood Bank Management System
    Java

    Developed a Java-based blood bank management application with donor record management and CRUD operations using object-oriented programming concepts.

  • Blood Bank Management System
    Java

    Developed a Java-based blood bank management application with donor record management and CRUD operations using object-oriented programming concepts.

  • Drug Side Effect Prediction using Machine Learning
    Pandas, NumPy, Random Forest, Logistic Regression, Naive Bayes, Jupyter Notebook, Visual Studio Code

    Developed a machine learning application to predict medicine side effects. Performed preprocessing, feature engineering, and EDA.

  • Drug Side Effect Prediction using Machine Learning
    Pandas, NumPy, Random Forest, Logistic Regression, Naive Bayes, Jupyter Notebook, Visual Studio Code

    Developed a machine learning application to predict medicine side effects. Performed preprocessing, feature engineering, and EDA.

  • Android GNSS Logger
    Programming Language: Kotlin Platform: Android Studio UI Framework: Jetpack Compose APIs: Android Location API, GNSS Status Callback Location Provider: GPS_PROVIDER Permissions: ACCESS_FINE_LOCATION Data Handling: CSV logging Architecture: DisposableEffect, GnssStatus Callback
  • Profiler-Guided Adaptive Training Engine for Efficient Deep Learning in PyTorch
    Programming Language: Python Deep Learning Framework: PyTorch Model Architecture: ResNet-18 Dataset: CIFAR-10 GPU: NVIDIA RTX 3050 Technologies: CUDA, Automatic Mixed Precision (AMP), PyTorch Profiler Optimization: Adaptive batch-size selection, GPU memory monitoring, runtime profiling Environment:
  • Drug Side Effect Detection Using Machine Learning –
    Programming Language: Python Frontend: HTML, CSS Backend: Flask ML Algorithms: Random Forest, Logistic Regression, Naive Bayes Libraries: Pandas, NumPy, Scikit-learn Model Storage: Pickle (.pkl) Dataset: Drug and side-effect records (MedDRA)

Courses & certifications

🏆 Achievements & awards

  • Maintained CGPA of 9.86/10 · 2026
  • Developed academic projects in Java and Machine Learning · 2025
  • Participated in technical workshops and Hackathons · 2026

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