Building AI-driven systems with Python, Machine Learning & Security-focused thinking

• 🎓 Final-year Computer Science student at IKG PTU
• 🧠 Interested in AI Systems, Machine Learning, NLP & Cybersecurity
• 📊 Former Data Science Intern @ Hoping Minds
• 🔐 Completed Mastercard Cybersecurity Simulation
• ⚡ Passionate about building practical AI-powered systems
• 🌱 Currently learning FastAPI, Docker, APIs & scalable backend systems
• 🛠 Exploring automation, intelligent workflows & secure development
• 📍 Punjab, India

AI-powered system designed to detect risky or vulnerable coding patterns and improve software reliability.

• 🔍 Static analysis for identifying risky code behavior
• 🧠 AI-assisted risk detection workflows
• ⚡ Focused on secure development & code quality
• 🔐 Combines AI + cybersecurity concepts

Python AI Logic Security Concepts Automation

🔗 Repository:
https://github.com/Jaspinder-12/AICodeRisk-v1

NLP-based semantic similarity system designed to improve plagiarism detection beyond keyword matching.

• 🧠 NLP & semantic similarity techniques
• 🔒 Privacy-focused architecture
• ⚡ Improved contextual detection accuracy
• 📄 Text comparison & similarity analysis

Python NLP Scikit-learn

🔗 Repository:
https://github.com/Jaspinder-12/Plagiarism-Detector

Multi-functional Python project focused on automation, structured workflows, and system-level experimentation.

• ⚙️ Modular architecture principles
• 🛠 Workflow automation & backend experimentation
• 📂 Structured project organization
• 🚀 Practical Python engineering concepts

Python Automation Backend Logic

🔗 Repository:
https://github.com/Jaspinder-12/MGR-S-Complete

Machine Learning model for predicting wine quality using chemical properties.

• 📊 Random Forest & SVM models
• 📈 Strong prediction accuracy
• 🔍 Feature analysis & model evaluation
• 📉 Data preprocessing & EDA workflows

Python Pandas Scikit-learn Random Forest SVM

🔗 Repository:
https://github.com/Jaspinder-12/Wine-Quality-ML

Regression-based ML project for predicting real-estate pricing trends.

• 📉 Linear Regression & Decision Trees
• 📊 Data visualization with Matplotlib & Seaborn
• 🧠 Explored pricing factors like location & amenities
• 📈 Built predictive ML workflows

Python Regression Models Matplotlib Seaborn

🔗 Repository:
https://github.com/Jaspinder-12/House-Price-Predictor

Jan 2024 – Jun 2024

• Cleaned and processed real-world datasets
• Built analysis workflows for actionable insights
• Improved ML data quality and preprocessing
• Mentored peers in Python & debugging
• Worked on practical data science pipelines

• Designed phishing detection scenarios
• Learned security awareness & vulnerability analysis
• Explored social engineering attack patterns
• Achieved 100% simulation assessment score

• 🤖 AI-assisted automation systems
• 🔐 Security-focused intelligent tools
• ⚡ Backend APIs with FastAPI
• 📊 Machine Learning workflows & deployment
• 🧠 AI reliability & model behavior experiments

🎓 B.Tech in Computer Science
Shaheed Bhagat Singh Technical Campus
📅 Expected Completion: 2026

• 🥇 NCC Cadet (Sergeant Rank)
• 👨‍🏫 Mentored 10+ peers in Python & debugging
• ⚽ Football enthusiast
• 🎨 Interested in digital editing & visual design
• 🧠 Strong interest in practical AI systems

# Add this GitHub Action later for animated contribution snake
# Generates automatically using GitHub workflow

while(alive):
    learn()
    build()
    improve()

Building practical AI systems one project at a time 🚀