Aspiring Software Engineer · AI/ML & Automation Enthusiast
I'm an aspiring software engineer with a passion for building intelligent systems that solve real-world problems. My work sits at the intersection of Machine Learning, Computer Vision, and workflow automation — with a growing focus on agentic AI systems.
- 🤖 Interested in AI-driven applications and intelligent automation
- 🌱 Currently deepening my knowledge in advanced ML and system design
- 🔍 Exploring agentic AI architectures and real-world deployment pipelines
- ⚡ I enjoy crafting tools that reduce manual effort and improve efficiency
An end-to-end NLP pipeline that scrapes web articles, runs dictionary-based sentiment analysis, and computes 14 readability and linguistic metrics — outputting structured results to Excel.
Stack: Python, BeautifulSoup, NLTK, Pandas, OpenPyXL
Highlights: Processes multiple URLs from Excel input · 2,006 positive / 4,783 negative word dictionary · Fog Index, polarity, subjectivity, syllable metrics · Robust error handling and stop word filtering
A real-time face detection system built in three progressively optimised versions — from classical Haar cascades to a multithreaded YuNET DNN model with GPU support.
Stack: Python, OpenCV, YuNET (ONNX), Multithreading
Highlights: Three implementations (Haar → YuNET → Optimised YuNET) · Facial landmark detection (5 points) · CUDA GPU acceleration support · Live FPS and face count overlay
Domains: Machine Learning · Natural Language Processing · Computer Vision · Agentic AI
Building intelligent, automated systems using AI — with an emphasis on practical deployment and real-world impact!
Always learning. Always building. Always improving.