Sukhjit Singh

Built NLP-driven intelligent automation pipeline for email classification, leveraging large-scale text processing and AI-based workflow automation. Improved operational efficiency by 80% by developing scalable Python-based data pipelines and cloud automation platform workflows, integrating REST APIs and Power Automate for enterprise workflow automation. Delivered AI-driven decision-support insights by building automated NLP and machine learning pipelines, enabling intelligent workflow automation and real-time business analytics. Collaborated with cross-functional stakeholders including business analysts and technical teams to translate business requirements into scalable AI-driven solutions.

Developed Generative AI (GAN-based) data augmentation pipelines using PyTorch to enhance SAR Automatic Target Recognition, improving model generalization, synthetic data generation, and deep learning model performance by 3%. Streamlined false positives by 12% by integrating deep learning models using TensorFlow and PyTorch, optimizing model performance for structured and unstructured image data. Enhanced model robustness by 7% and scalability by 11% by implementing geometric transformation pipelines and out-of-distribution detection techniques, improving reliability in mission-critical environments.

Optimised simulation iterations by 25% by developing statistical modeling pipelines, tuning performance of six mathematical models of military operations. Identified key operational parameters by applying probability theory and optimization techniques, improving system-level performance predictions.