Here are some of the research and applied AI projects Iā€™m currently working on. Each project represents my commitment to advancing intelligent systems through multimodal learning and embodied AI.

Vision-Language Model for Robotics

Status: In Progress

Fine-tuning VLMs

šŸ› ļø Tech Stack: PyTorch, Hugging Face Transformers, ROS

VariantAI Platform

Status: In Progress

A genome-scale model integration platform that combines artificial intelligence with biological data analysis for precision medicine applications.

Key Features:

  • Integration of multiple genomic data sources
  • AI-powered variant interpretation and pathogenicity prediction
  • Scalable cloud-based architecture for large-scale analysis
  • User-friendly interface for researchers and clinicians

Applications:

  • Cancer genomics research
  • Rare disease diagnosis
  • Drug discovery and development
  • Personalized treatment recommendations

Impact: Enabling researchers and healthcare providers to leverage AI for better understanding of genetic variations and their clinical implications.

šŸ› ļø Tech Stack: Python, T3-stack, Next.js, Shadcn-ui, Bioinformatics Tools, Cloud Computing

šŸŒŸ More Projects & Contributions

For more of my work, including open-source contributions, experiments, and side projects, check out my GitHub profile.

šŸ’” Interested in Collaboration?

Iā€™m always open to discussing new research ideas, potential collaborations, or exciting opportunities in AI and robotics. Feel free to reach out!