Passionate about Generative AI, Time Series Analysis, and Agentic Workflows.
- π¬ Currently focused on Agentic AI Frameworks to automate complex reasoning and decision-making processes.
- π§ Deep dive into Generative Adversarial Networks (GANs), specifically for medical image restoration (Pix2Pix, WGAN-GP, Mamba-based architectures).
- π Experienced in Time Series Forecasting and Probabilistic Machine Learning (Quantile XGBoost, TCNs, LSTMs, Prophet) to model uncertainty and dynamic risk.
- π‘ Always eager to explore novel architectures and build robust data pipelines.
Machine Learning & AI Frameworks:
Feel free to explore my repositories below to see my work in action.
