🔬 Bioinformatics & Computational Biology Specialist | 🏫 Research Associate at Johns Hopkins University | 🎓 University of Toronto Alumnus
Passionate about leveraging AI, machine learning, and software engineering to revolutionize cancer research and data analysis. Committed to integrating sustainable practices into research and development processes.
- Software Developer (Backend) at Outlier
- Freelance Full Stack Developer
- Full Stack Bioinformatics Software Engineer & Researcher at Johns Hopkins University
- Languages: Python, Java, C/C++, R, JavaScript, TypeScript, SQL, Swift, Bash/Shell, Go
- Web Tech: React, Node.js, Express, Flask, WordPress
- AI/ML: TensorFlow, PyTorch, scikit-learn, custom ML pipeline development
- Cloud & DevOps: AWS, Azure, Docker, Kubernetes, Jenkins
- Bioinformatics: Multi-omics data integration, protein structure analysis, high-throughput sequencing
- Led cancer research project, discovering 8 novel biomarkers
- Developed open-source MicrobiomeExplorer R package
- Processed 500+ TB of genomic data using HPC tools
- Presented research at Harvard's National Collegiate Research Conference
- Delivered oral presentation at ABRCMS 2023
- Image processing pipeline server (C, Python, multithreading)
- Stock market prediction system (Python, Pandas, Scikit-learn)
- AI-powered random fact generator (JavaScript, Node.js, DALL-E)
I'm probably diving into a Harry Potter book, debating the best episodes of The Office, or experimenting with a new biryani recipe. Always up for a chat about the latest in tech or the best Hogwarts house (Gryffindor btw)!
Feel free to reach out for collaborations or just a friendly chat:
Thanks for stopping by. Don't forget to check out my repositories and let's innovate together!
#ArtificialIntelligence #Bioinformatics #MachineLearning #CancerResearch #OpenSource