I'm an AI developer and student passionate about building systems that see, understand, and respond to the world around them. My focus is the intersection of machine learning and real-world interfaces.
When I'm not training models or writing code, I'm exploring new techniques in computer vision and contributing to projects that make AI more accessible.
Neural network-powered speech recognition for audio pattern automation
ML regression model reducing manual price analysis effort by ~30%
Real-time sign language to text using MediaPipe and CNN classifier
Deep dive into machine learning & Python
I craft intelligent systems that bridge the gap between human intention and machine understanding — from gesture recognition to predictive models to voice AI, built to work in the real world.
A selection of projects I've built — from AI models to full-stack deployments.
Real-time AI hand gesture recognition that translates sign language into text — bridging communication for the deaf community using MediaPipe and a custom-trained CNN classifier.
Bridged communication for the deaf community with real-time gesture-to-text translation at high classification accuracy
Machine learning regression model that predicts housing prices using real-world datasets, feature engineering, and ensemble methods for high accuracy.
Improved price estimation accuracy and reduced manual analysis effort by ~30%
↗Neural network model for real-time voice and speech recognition, trained on diverse audio patterns for robust performance across accents and environments.
Automated audio pattern recognition and significantly reduced manual audio processing effort
↗Next AI project in active development. Building at the intersection of intelligent automation and real-world deployment.
→Have an interesting AI challenge? I'm open to collaborating on meaningful projects that create real-world impact.
→Verified certifications across AI, cloud, and development.
Certification covering machine learning, AI concepts, and practical implementations using Python.
↗Hands-on knowledge of AWS services including EC2, S3, IAM and cloud architecture basics.
↗In-depth training covering statistical modelling, data pipelines, and applied ML for engineering use cases.
↗Covered branding, digital marketing, and business strategies with real-world applications.
↗Whether it's a project, a collaboration, or just a conversation about AI — I'm always open to connecting.