Now
What I'm currently focused on — learning, building, reading, and where I'm headed.
Last updated: July 2026
Currently Learning
Active areas of study and skill development.
Machine Learning
Supervised & unsupervised methods, model evaluation
Deep Learning
Neural networks, CNNs, RNNs, Transformers
Large Language Models
Fine-tuning, RAG, prompt engineering
MLOps
Model deployment, monitoring, pipeline automation
Computational Biology
Sequence analysis, structural bioinformatics
Python for Science
NumPy, Pandas, Scikit-learn, PyTorch
Currently Building
Active projects and contributions.
VocalLift
AI-powered English learning platform focused on personalized language acquisition
AI-powered research tools
Applying LLMs to scientific literature analysis
Bioinformatics pipelines
Data processing for multi-omics experiments
Currently Reading
Books, papers, and articles I'm studying.
Hands-On Machine Learning (Géron)
AlphaFold Protein Structure Prediction
Deep Learning for the Life Sciences
Nature Reviews: ML in Genomics
Goals
Short-term, mid-term, and long-term objectives.
Short-Term
- Build 3 ML/AI projects for portfolio
- Publish first technical blog post on ML
Mid-Term
- Secure AI Engineer or ML-focused role
- Contribute to open-source ML/bioinformatics tools
- Begin MSc applications for Computational Biology
Long-Term
- PhD in Computational Biology or AI for Healthcare
- Publish peer-reviewed research on ALS/neurodegeneration
- Bridge software engineering and scientific research full-time