I'm a passionate developer, AI enthusiast, and researcher with a focus on machine learning, deep learning, and astronomy. My work revolves around building intelligent systems that solve complex problems across various domains, from astrophysics to cybersecurity.

• AI/ML Research: I explore the integration of machine learning with real-world applications, such as anomaly detection, object recognition, and intelligent systems for cybersecurity.
• Astrophysics Enthusiast: I have a keen interest in studying star clusters and galaxies, particularly in analyzing the data and visualizing the structures of the universe.
• AI Chatbots: I'm working on developing chatbots that can recognize objects in real-time and interact with users by providing insightful descriptions.
• Cybersecurity + AI: I aim to leverage machine learning in cybersecurity to create more intelligent and adaptive hacking systems.

• Languages: Python, C++
• Frameworks: PyTorch, TensorFlow
• Libraries: OpenCV, Matplotlib, AstroPy
• Tools: Git, Docker, Jupyter Notebooks
• Data Processing: Data pre-processing and analysis using Pandas, NumPy, and SciPy
• Modeling: CNNs, RNNs, and transformer-based architectures

• Anomalies Detection in Beverage Bottles: A project focused on detecting anomalies in bottle images, particularly identifying bottles without caps using CNN architectures.
• Object Recognition Chatbot: Building a chatbot that identifies real-world objects and provides conversational feedback.
• Star Cluster Analysis in Antenna Galaxies: Working on classifying star clusters by their age using data from Antenna Galaxies.

I thrive on tackling challenging problems and continuously improving my skills to create impactful solutions. Whether it's fine-tuning a model or solving a puzzle in astronomical data, I’m always eager to learn and apply new techniques.

I'm constantly evolving my knowledge base, diving deeper into:

• Advanced machine learning techniques
• AI in cybersecurity
• Astronomy and astrophysics

• Email: [email protected]