AI-Focused Full Stack Developer | Machine Learning Systems Builder | Open Source Contributor
Computer Science undergraduate at Chandigarh University (2024–2028). I build intelligent web applications and practical machine learning systems, with experience contributing to real open-source projects and collaborative development workflows.
Currently open to Software Development, Full Stack, and AI/ML Internship roles.
Languages: Python • C++ • JavaScript • C Frontend: React.js • HTML • CSS • Next.js Backend: Node.js • Express • MySQL • REST APIs AI/ML: Scikit-learn • TensorFlow • LangChain • OpenAI API • NLP Tools: Git • Linux • GitHub • VS Code
Open Source Connect Global 2026 (OSCG '26) & Elite Coders Winter of Code 2026 (ECWoC '26)
- Fixed deployment and configuration issues in live projects
- Implemented features and UI improvements
- Collaborated via pull requests and code reviews
AI Malware Detection System Detects malicious files using static feature analysis with ML classification (~92% accuracy, reduced manual inspection effort). Python, Scikit-learn, XGBoost, Flask
AI Resume Analyzer (In Progress) Analyzes resumes using embeddings + LLM feedback to suggest improvements and highlight skill gaps. Python, LangChain, OpenAI API
Spam Mail Detector Real-time spam classification using NLP pipeline (TF-IDF + Logistic Regression) with GUI interface. Python, Scikit-learn, Tkinter
PTE Hub Web Portal Responsive portal for test preparation resources with structured UI and navigation. HTML, CSS, JavaScript
Secure Authentication System User authentication system with database integration and email verification workflow. Python, MySQL, SMTP
System Design • Advanced Machine Learning • Backend Architecture • DevOps Fundamentals


