AI and data analytics expert building scalable ML pipelines that convert large, noisy datasets into actionable insights and production-grade AI tools.
I am Abhishek Mall, a Postdoctoral Researcher working at the intersection of data science and machine learning. My focus is on building scalable ML architectures and data pipelines that uncover structure in massive, complex datasets and turn them into clear, interpretable insights.
I earned my PhD from the Max Planck Institute for the Structure and Dynamics of Matter and the University of Hamburg, Germany, where I developed ML systems for terabyte-scale data analysis and visualization. My work combines deep learning, optimization, and modern data science to solve high-dimensional problems under real-world constraints.
Deep generative models (VAEs, diffusion), unsupervised learning, and probabilistic inference for high-dimensional data.
Large-scale analysis, statistical modeling, and exploratory workflows that surface actionable patterns.
Algorithms for inverse problems, latent-variable inference, and gradient & non-gradient based approaches.
End-to-end deployment, monitoring, and automation of ML systems in production environments.
I’m interested in roles where I can apply this experience to build high-impact data products and ML systems in leading technology organizations.