Anything AI

🌟 About Me
I am an AI/ML Developer at Anything.ai with experience in computational biology and machine learning systems. My passion lies in developing AI solutions that accelerate biological discovery and help solve complex healthcare challenges through innovative algorithms.

🧠 Technical Skills
Programming Languages: Python, R, Julia, C++, SQL

AI/ML Frameworks: PyTorch, TensorFlow, JAX, Scikit-learn, Hugging Face Transformers

Biology Knowledge: Genomics, Protein Structure Prediction, Single-cell Analysis, Molecular Pathways, CRISPR Technology

Other Relevant Skills: Cloud Computing (AWS, GCP), Bioinformatics Pipelines, Data Visualization, High-Performance Computing

🔬 Relevant Experience
Multi-modal Protein Structure Prediction | 2023-Present
Developed a novel deep learning architecture that combines sequence and evolutionary data for accurate protein folding prediction

Implemented attention-based neural networks resulting in 27% improved accuracy over previous models

Collaborated with biochemistry researchers to validate predictions and optimize model parameters

Personalized Cancer Treatment Recommendation Engine | 2021-2023
Created an ML pipeline that analyzes genomic data to identify potential treatment options for cancer patients

Engineered a graph neural network approach for modeling drug-gene interactions with 89% precision

Led a cross-functional team of 5 engineers and 3 biologists to deploy the system in a clinical research setting

🚀 Why Bio x AI?
I believe we're at a pivotal moment where AI can fundamentally transform how we understand biological systems. The complexity of biology-from protein folding to gene regulation networks-creates perfect opportunities for advanced machine learning techniques. I'm particularly excited about developing interpretable AI models that can help scientists generate new hypotheses and accelerate the drug discovery process. The potential to impact human health while solving fascinating computational challenges drives my interest in this intersection.

💡 Hackathon Project Ideas
I'm particularly interested in exploring:

AI-Driven Drug Repurposing: Building a system that identifies existing approved drugs that could be repurposed for emerging diseases by analyzing molecular structures and biological pathways

Single-Cell Analysis Toolkit: Developing an accessible ML framework that helps researchers identify cell types and states from single-cell RNA sequencing data without requiring extensive computational expertise