🚀 AI & Machine Learning Engineer | Turning Data into Intelligent Solutions

Turning raw data into meaningful insights through AI, ML, and software engineering.
Passionate about building intelligent, data-driven, and impactful applications.

• Developing AI-powered applications with real-world impact in computer vision, NLP, and predictive analytics
• Building real-time ML systems for classification, object detection, and anomaly detection
• Implementing end-to-end ML pipelines: data collection → preprocessing → modeling → deployment
• Integrating AI models with web and mobile applications for practical usability
• Optimizing deep learning models for performance and inference speed

• Exploring advanced Deep Learning architectures (CNNs, Transformers, LSTMs)
• Enhancing skills in real-time computer vision and object detection frameworks
• Learning cloud deployment and MLOps practices for scalable AI systems
• Experimenting with vector databases, semantic search, and AI-powered applications
• Strengthening expertise in Python, TensorFlow, PyTorch, and production-ready AI pipelines

Programming & Scripting

Web Development

Machine Learning & AI

Databases & Deployment

Development Tools & Practices

💰 Smart Solution for Finance and Investment Optimization (Full-Stack Web App) (Capstone Project)
A comprehensive financial management platform designed to empower users with personalized budgeting, savings optimization, investment tracking, and financial insights using advanced ML models.

📌 Due to university policy, the project isn't publicly hosted on GitHub — view details on LinkedIn.

🔗 View the project details on LinkedIn

🔥 Real-Time Fire Detector (Computer Vision Project)
A real-time fire detection system built with TensorFlow, Keras, and OpenCV. Detects fire instantly from webcam or Android phone camera feeds, triggers audible alerts, and logs fire events automatically.

Key Features:

• Real-time detection with webcam or mobile IP camera
• Audible alerts and event logging (fire_alerts.log)
• Lightweight CNN model optimized for fast inference

Repository & Model:

• GitHub Repo: RealTime-Fire-Detector
• Download trained model: models.rar

🤖 ML Interview Q&A Bot
An AI-powered Q&A bot for interview preparation, leveraging FAISS, Transformers, and Streamlit for real-time question answering and context retrieval.

🔗 View Repository

Other Projects

• Snake Game (Python) – A classic Snake game developed with Python’s Pygame library, featuring dynamic gameplay and score tracking. 🔗 View Repository
• Coffee Land (C++) – A coffee shop application with menu handling, billing system, and customer interaction. 🔗 View Repository
• Mathematics Quiz System (Assembly) – Quiz game with score tracking. 🔗 View Repository

• Python for Data Science and automation
• Data Preprocessing & Visualization techniques
• NLP & Computer Vision fundamentals
• Best practices for AI-ready repositories

⚡ “AI is not only about algorithms — it’s about building systems that empower people and teams to make better decisions.”