π― Role: Machine Learning Engineer
π Education: M.S. Computer Science
π Thesis: Generative Models for Subsurface Imaging
- π€ Generative AI
- ποΈ Computer Vision
- π΅ Audio ML
- π£οΈ Lipsync Technology
- π¬ Video Editing
- π Diffusion Models
- π¬ Research
- π Open Source
- π» Software Engineering
π Thanks for stopping by! Let's build something amazing together!
Generative Models
- π Diffusion Models
- π GANs (Generative Adversarial Networks)
- π VAEs (Variational Autoencoders)
- π Flow-based Models
Core ML Techniques
- π― Self-Supervised Learning
- π Classification
- π Regression
- π Clustering
projects: - Generative Models in Computer Vision - Lipsync Technology - Video Editing with AI - Diffusion Model Research
learning: - Latest ML/AI Research Papers - Software Engineering Best Practices - LeetCode Problem Solving - Advanced PyTorch Techniques
I'm always excited to collaborate on:
- π¬ Research Projects - Pushing the boundaries of AI/ML
- π Open Source - Contributing to impactful projects
- π‘ Generative AI - Building next-gen creative tools
- π Knowledge Sharing - Writing, teaching, and learning together