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.
7 years of coding experience
4 years of employment as a software developer
Masters, Data science, analytics and engineering, Masters, Data science, analytics and engineering at Arizona State University
Postgraduate Degree, Artificial Intelligence and Machine Learning, Postgraduate Degree, Artificial Intelligence and Machine Learning at Great Learning
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at SRM IST Chennai
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