Abhay Kansal

Incubated and Led efforts in ML Engg, ML Ops, Computer vision along with data engineering to develop, maintain and deploy at scale. Led and expanded a cross-functional AI/ML practice spanning Data Engineering, Deep Learning, ML Engineering & MLOps. Developed and deployed solutions like intelligent document processing platforms, speech-to-text models, custom generative AI solutions, and optimized workflows for image and video processing using cutting-edge technologies.

Led development and productionization of computer vision models. Implemented architectures and techniques for image classification and object detection tasks. Improved resource utilization and inference latency of models by introducing frameworks like ONNX and TensorRT. Designed real-time pipelines for secured on-premise deployments involving GPU-enabled decoding and encoding for low-latency inference.

Built various machine learning and deep learning models for energy analysis and anomaly detection. Developed ETL processes and advanced analytics platforms for use in real-time queries and reporting. Designed in-house BI tools and implemented model-based optimizations for energy disaggregation, utilizing deep learning approaches.

Analyzed and modeled donor behavior patterns for NGOs. Studied consumption patterns for consumer goods based on demographic variations. Conducted statistical analyses and provided insights on provided datasets.

Conducted numerical studies to improve modeling techniques involving multiphysics and multiscale simulations.

Developed coupling interfaces for multiphysics and multiscale numerical models for nuclear safety studies. Ported codes for cross-platform simulation compatibility and automation.

Worked on R&D projects involving design and optimization methodologies. Performed experimental studies using advanced design techniques and statistical modeling.