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I'm a passionate Full-Stack Engineer and AI/ML Enthusiast with a unique focus on computational biology and synthetic biology. As a Biological Science major, I work at the intersection of code and life science to design smarter systems for research, health, and diagnostics. Currently engineering solutions in health, education, and productivity while diving deep into AI, cloud systems, and scalable tech. I'm hardcore on open-source — I build, not just contribute. KDE power user, Linux-native, building tech that runs lean and clean. 
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AI-powered biological sequence analysis tool for genomic research. Features machine learning algorithms for sequence classification, protein structure prediction, and genetic variant analysis. Tech Stack: Python, TensorFlow, BioPython, React, Node.js |
Full-stack health management platform with AI-driven diagnostic assistance, patient monitoring, and telemedicine capabilities for improved healthcare delivery. Tech Stack: React Native, Next.js, Supabase, OpenAI API |
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Python |
JavaScript |
TypeScript |
React |
React Native |
Node.js |
C |
Ruby |
Dart |
Next.js |
Flutter |
Supabase |
TailwindCSS |
AWS |
Docker |
PostgreSQL |
Firebase |
Git |
GitHub |
Linux |
TensorFlow |
BLAST |
Biopython |
R |
OpenAI |
• Genomic sequence analysis |
• Machine learning models |
• AWS cloud architecture |
