Hi, I'm Kushal M

Computer Science Engineering Student

Passionate about Software Development

About Me

I am a dedicated Computer Science Engineering student at Siddaganga Institute of Technology with a strong CGPA of 8.67. My academic journey has been marked by consistent excellence, having achieved 95.16% in 2nd PUC and 94.88% in 10th standard.

I specialize in machine learning and software development, with hands-on experience in federated learning, malware detection systems, and agricultural technology solutions. My passion lies in solving complex problems using innovative technologies.

Education

Bachelor of Engineering in Computer Science

Siddaganga Institute of Technology, Tumkuru

CGPA: 8.67 | Nov 2022 - Jun 2026

2nd PUC

Vijaya PU College, Tumkuru

95.16% | Jun 2020 - May 2022

10th Standard

Govt. Junior College (High School Section), Koratagere

94.88% | Mar 2017 - May 2020

Skills

Programming Languages

Java Python C

Developer Tools

Git VS Code GitHub

Systems & Databases

Windows Linux MySQL

Course Work

Data Structures & Algorithms Operating Systems Database Management Software Testing Computer Networks Machine Learning Unix & Shell Scripting

Projects

Federated Learning based Malware Detection System

Nov 2024 - Jan 2025

Designed and implemented a Federated Learning-based malware detection system using Neural Networks to detect cybersecurity threats across distributed clients without centralizing data.

• Leveraged the Flower framework for federated training across multiple nodes

• Maintained data decentralization while ensuring effective threat detection

Python TensorFlow Keras Federated Learning Scikit-learn

Real Time Stock-Summarizer

Feb 2025 - Mar 2025

Built a real-time stock market summarizer using LLMs to generate concise summaries of financial news, helping users quickly interpret market trends.

• Integrated live stock data and news scraping with Streamlit web app

• Deployed solution on Streamlit Community Cloud for public access

Python Streamlit OpenAI API yFinance LLMs

Agri-Vision: Crop, Fertilizer and Rainfall Prediction

Sept 2024 - Oct 2024

Built a machine learning-based AgriTech system to predict suitable crops, fertilizers, and expected rainfall using environmental parameters like soil type, pH, temperature, and humidity.

• Developed ML models for crop classification and fertilizer recommendation

• Improved agricultural planning and productivity through accurate predictions

Python TensorFlow Keras Scikit-learn

Achievements

IEEE Conference Paper

Presented research paper "Federated Learning-Based Malware Detection System" at the 3rd IEEE International Conference on Knowledge Engineering and Communication Systems (ICKECS 2025)

Ethical AI Challenge

Participated in the Case Study Analysis of the Ethical AI Challenge: Innovating Real-Time Decision Making organized by KIIT

GeeksForGeeks Rank

Successfully solved 400+ problems on GeeksForGeeks using Java and Python, achieving 355-institute rank. Demonstrated strong problem-solving skills in DSA

Get In Touch

Email

kushal.1si22cs086@gmail.com

Phone

+91 9743962086