Mr. Satish Krishnamurthy

Satish Krishnamurthy is an innovative and results-driven professional with over five years of experience in the retail industry, specializing in the application of artificial intelligence (AI) and machine learning (ML) technologies to optimize operations, enhance customer experiences, and drive revenue growth. He has demonstrated expertise in leveraging data-driven insights to inform strategic decisions, improve efficiency across retail functions, and develop AI-based solutions that deliver measurable outcomes in fast-paced environments. Satish has played a key role in collaborating with cross-functional teams to analyze fulfillment data, leading to a 20% improvement in order processing times, and working with data science teams to optimize inventory management, reducing stock-outs by 30%. Additionally, he led the development of a recommendation engine that increased average order value by 12% and continuously refined AI models, contributing to a 40% reduction in manual processing time. With over four years of experience in web application and middleware development using ReactJS, NodeJS, Docker, and Neo4j, Satish has designed applications leveraging serverless architectures in AWS and Google Cloud. As a Stores Portfolio Lead Architect at Macy’s Technologies, he successfully designed and implemented microservices architectures, modernized application codebases, and launched AI-powered retail applications that significantly reduced operational costs by 60%. His expertise extends to designing real-time monitoring dashboards, conducting market analyses, and providing actionable insights to senior management to align AI initiatives with business goals. In his previous roles at Capital One, BOFA, US Bank, Verizon, and Bank of America, Satish contributed to modernizing core financial applications using cloud technologies, developing responsive web applications with Angular and ReactJS, implementing Kafka and API gateway solutions, and integrating AI-based predictive models into business processes. He has extensive experience in configuring and managing APIs using APIGEE, handling cloud services such as AWS ECS, EC2, S3, EMR, and CloudWatch, and implementing scalable solutions for enterprise-wide AI applications. As a Full Stack Developer, he worked on SWIFT message routing, OFAC compliance checks, and cloud migrations, demonstrating his proficiency in financial technologies and cloud-native solutions. His strong technical skills include expertise in Java 8, J2EE, Spring frameworks, R, Shell Scripting, and data analytics tools such as Tableau and Python. He holds an AWS Certified Solutions Architect certification, showcasing his deep understanding of cloud computing and enterprise application architecture. Satish has consistently demonstrated his ability to lead development teams, mentor junior professionals, and deliver high-impact AI solutions across retail and financial domains, making him a valuable asset in the rapidly evolving technology landscape.

• AWS
• Tableau
• KAFKA
• HBASE
• Docker
• Kubernetes
• Python
• ReactJS
• Microservices
• JIRA
• OpenShift
• MongoDB
• R
• Neo4j
• Splunk
• Google Cloud
• data mining
• Predictive modeling
• Microsoft Azure Machine Learning
• POS systems
• CT40 Devices
• e-commerce platforms
• AWS Gateway
• APIGEE
• Data dog
• Core JAVA 8
• J2EE
• Shell Scripting
• nodejs
• Restful API
• Spring frameworks
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