Summary
Simran Agrawal is a Senior Software Engineer with 7 years of experience building production-grade data and ML systems, currently supporting Apple through Unify Technologies after a multi-year tenure at Bank of America. She combines strong software engineering and DevOps skills—Python, SQL, PyTorch, CI/CD, Kubernetes and cloud-native tooling—with hands-on expertise in graph analytics, recommendation systems, and NLP-driven predictive models. At Bank of America she delivered high-impact projects including a Kubernetes-based graph analytics pipeline, ML model deployments, and reconciliation/stress-testing frameworks that improved testing efficiency by 94% and code coverage by 50%. A Master’s student in Data Science at Arizona State University and holder of a postgraduate degree in AI/ML, she blends academic rigor with practical delivery and published research on IoT-based accident detection. Known for turning complex data workflows into scalable products, she’s equally comfortable optimizing pipelines or prototyping novel graph algorithms to solve real-world business problems.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology Information Technology, Bachelor of Technology Information Technology at Siksha 'O' Anusandhan University