Projects & Publications
From AI research breakthroughs to MedTech innovations, here's how I'm building the future of technology.
15+ Projects
Across AI, Tech, and social impact
3 Publications
In topics I'm passionate about
5 Startups
Founded or contributed to
Featured Work
A selection of projects that showcase my passion for AI, MedTech, and social impact
Featured Projects
AI-Powered Medical Diagnostics Platform
In DevelopmentRevolutionary diagnostic tool that uses computer vision and deep learning to analyze medical images, reducing diagnostic time by 40% while improving accuracy.
Key Achievements:
- •10K+ images processed daily
- •92% diagnostic accuracy
Bias Detection in AI Models
PublishedResearch project analyzing gender and racial bias in popular machine learning datasets and models, with tools for fairness evaluation.
Key Achievements:
- •15 datasets analyzed
- •3 fairness metrics developed
Other Projects
Smart ECG Analysis System
CompletedMachine learning system for real-time ECG analysis and cardiac abnormality detection, developed during MIT Beaver Works program.
Key Achievements:
- •92% accuracy rate
- •Real-time processing
Violence Prevention Education Platform
DeployedInteractive digital curriculum platform that reduced reported incidents by 30% across pilot schools in the CUHSD district.
Key Achievements:
- •2000+ students reached
- •30% incident reduction
Generative AI Customer Support
ProductionEnterprise chatbot system built for Dell Technologies, serving 50K+ users with 60% reduction in ticket resolution time.
Key Achievements:
- •50K+ users served
- •60% faster resolution
Autonomous Vision System
PublishedComputer vision model for autonomous systems with 25% improved object detection accuracy using novel attention mechanisms.
Key Achievements:
- •25% accuracy improvement
- •Conference publication
Research Publications
Contributing to the academic community through peer-reviewed research in AI, ML, and healthcare technology
Mitigating Gender Bias in Machine Learning Datasets: A Comprehensive Analysis and Framework
FeaturedThis paper presents a comprehensive analysis of gender bias across 15 popular machine learning datasets and introduces a novel framework for bias detection and mitigation. Our approach reduces gender bias by up to 40% while maintaining model performance.
Real-time Cardiac Abnormality Detection Using Deep Learning on ECG Signals
FeaturedWe present a novel deep learning approach for real-time detection of cardiac abnormalities in ECG signals, achieving 92% accuracy with sub-second processing time. The system has potential for deployment in resource-constrained healthcare settings.
Attention Mechanisms for Improved Object Detection in Autonomous Systems
This work introduces novel attention mechanisms that improve object detection accuracy by 25% in autonomous driving scenarios. Our approach focuses on dynamic attention allocation based on environmental context.