🚀 Welcome to Akshat Dubey's GitHub Space! 🌐
👨💻 Research Associate @ Robert Koch Institute, Berlin
🎓 PhD Student in Computer Science @ Freie Universität Berlin
🇨🇦 Former Research Assistant at Toronto Metropolitan University, Toronto (Formerly Ryerson University)
🥇 National Winner of EXL-EQ 2022 Competition by EXL Analytics
Learning while HOPING & HUSTLING!!! 
Talking about Myself...
🚀 What I Do:
Explainable AI (XAI): Unraveling the interpretability of AI models for transparent decision-making and enhancing explainability.
Computer-Human Interaction (CHI): Exploring the intersection of AI and human interaction for enhanced user experiences.
Visualization XAI Storytelling Framework: Leveraging visualization techniques to build a framework for telling compelling XAI stories.
AI Regulations: Addressing the ethical and regulatory aspects of AI to shape responsible advancements.
Research Focus: Currently delving into the intricacies of Explainable Artificial Intelligence (XAI) in Healthcare.
⚙️ Tech Toolbox:
Tensorflow: Mastering the intricacies of Tensorflow for robust machine learning solutions.
PyTorch: Leveraging PyTorch's flexibility and power for deep learning endeavors.
Pytorch-Lightning: Seamless model development and prototyping with Pytorch-Lightning. Unified code for GPU/TPU.
JAX: Navigating the world of differentiable programming with JAX.
Docker & Kubernetes: Proficient in containerization with Docker and orchestrating scalable deployments using Kubernetes.
Flyte (Python-based ML Workflow Orchestration): Streamlining machine learning workflows with the power and flexibility of Flyte.
🌟 Let's Collaborate!
Open to collaborations, discussions, and exploring new frontiers. Feel free to reach out—let's build something amazing together!
⚡ Stay Curious, Keep Coding! ⚡
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent