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 (NLP Project)
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.”