Yadvender Singh

Background

About Yadvender Singh

Bridging the gap between AI, Software Engineering, and Business Impact." With over five years of experience in Machine Learning, Software Development, and Enterprise Applications, I specialize in designing AI-powered solutions, scalable APIs, and microservices to drive business innovation. My expertise lies at the intersection of AI, cloud computing (AWS, GCP, OCI), and full-stack development (Java, Python, React, Spring Boot, Flask, Node.js, Django). I have developed real-time financial tools, optimized billing and payment workflows, and engineered AI-driven fraud detection models, delivering measurable business impact. From enhancing multimodal deepfake detection to automating LLM-based enterprise applications, my work integrates cutting-edge ML models with scalable software architectures. Key Highlights- Collaboration, mentoring, and cross-functional teamwork, ensuring that the solutions are impact-driven and business-aligned - Built multimodal deepfake detection models using Transformers & Masked Autoencoders, achieving 96%+ accuracy- Developed a real-time batch monitoring system, reducing downtime by ~15 hours/month and maintain SLA compliance at 99.9%- Configuration and Integration of Guidewire InsuranceSuite products such as PolicyCenter and BillingCenter and developed features for invoicing, payment processing and policy issuance - Optimized SQL queries, resolving 100K+ data inconsistencies, improving enterprise data integrity. Let’s Connect! I am actively exploring AI/ML-driven software engineering roles. If you’re looking for an innovative problem solver passionate about AI, scalable systems, and enterprise automation, let’s talk!