I'm working toward building advanced AI systems that operate at scale. I'm especially interested in the kind of work happening in leading AI labs, systems that can learn from data, adapt to complex environments, and make meaningful decisions.
Right now, I'm focused on building strong foundations through hands-on projects in machine learning, predictive systems, and IoT. Projects like my predictive maintenance system reflect this direction, where I've worked on time-series modeling, anomaly detection, and end-to-end system design.
I'm continuously learning and refining my understanding of ML systems, data-driven architectures, and AI engineering with the goal of building intelligent systems that actually work in real-world settings.
Exploring real-world applications of machine learning, predictive systems, and industrial AI through research and implementation.
This research presents a hybrid predictive maintenance system for industrial machines using IoT sensor data and machine learning.
This work reflects my interest in building real-world AI systems that combine data, models, and system design to solve practical problems.
I'm always interested in discussing new opportunities, innovative projects, and collaborations. Whether you're looking for a developer, want to discuss technology, or just want to connect, I'd love to hear from you.
Currently open to internship opportunities, freelance projects, and full-time positions in software development, particularly in areas involving AI/ML, IoT, and full-stack development.
For project discussions, collaboration opportunities, or general questions about my work and experience.
Connect with me on various platforms to stay updated with my projects, contributions, and tech discussions.
Software Developer
I'm working toward building advanced AI systems that operate at scale. I'm especially interested in the kind of work happening in leading AI labs, systems that can learn from data, adapt to complex environments, and make meaningful decisions.
Right now, I'm focused on building strong foundations through hands-on projects in machine learning, predictive systems, and IoT. Projects like my predictive maintenance system reflect this direction, where I've worked on time-series modeling, anomaly detection, and end-to-end system design.
I'm continuously learning and refining my understanding of ML systems, data-driven architectures, and AI engineering with the goal of building intelligent systems that actually work in real-world settings.
Exploring real-world applications of machine learning, predictive systems, and industrial AI through research and implementation.
This research presents a hybrid predictive maintenance system for industrial machines using IoT sensor data and machine learning.
This work reflects my interest in building real-world AI systems that combine data, models, and system design to solve practical problems.
I'm always interested in discussing new opportunities, innovative projects, and collaborations. Whether you're looking for a developer, want to discuss technology, or just want to connect, I'd love to hear from you.
Currently open to internship opportunities, freelance projects, and full-time positions in software development, particularly in areas involving AI/ML, IoT, and full-stack development.
For project discussions, collaboration opportunities, or general questions about my work and experience.
Connect with me on various platforms to stay updated with my projects, contributions, and tech discussions.