About Me

I'm an AI/ML Engineer specializing in temporal sequence modeling and predictive system architecture. I focus on designing robust ML pipelines for noisy, low-resource environments (LMICs) with expertise in Transformer-based forecasting and Bayesian uncertainty estimation. My work spans end-to-end deployment including quantized inference (ONNX), MLOps on AWS/GCP, and high-performance frontend integration. I have a proven track record in translating complex multi-modal data into actionable predictive insights for high-stakes operational environments.