Book IWD Speaker: Anisha Salunkhe
Cloud Applications Architect & Full-Stack Engineer building scalable, high-performance distributed systems
Anisha Salunkhe is a distinguished Cloud Applications Architect at Amazon Web Services (AWS), where she designs and builds enterprise-scale systems that process millions of workflows daily while maintaining exceptional performance and reliability.
Based in New York City, Anisha brings a unique combination of deep technical expertise, business acumen, and real-world experience delivering solutions that drive measurable impact for Fortune 500 companies and global enterprises.
With over seven years of progressive experience spanning cloud architecture, distributed systems, and enterprise software engineering, Anisha has established herself as a thought leader in building scalable, cost-effective cloud solutions.
Her work at AWS has directly contributed to platforms processing over $500 million in monthly transactions, managing work-order systems handling 1 million+ workflows daily, and achieving operational cost reductions exceeding 46% for major enterprise migrations.
Anisha's technical prowess spans the full spectrum of modern cloud technologies, including serverless architectures, microservices design, event-driven systems, and DevOps practices.
She specializes in AWS services such as Lambda, EventBridge, Step Functions, API Gateway, and DynamoDB, combined with expertise in programming languages including Python, Java, TypeScript, and Kotlin.
Her architectural decisions have resulted in systems achieving 99.99% data consistency, sub-second latency at scale, and 65% runtime reductions while increasing profitability by $2.1 million annually.
Before joining AWS, Anisha honed her engineering skills at Mastercard in Pune, India, where she developed and maintained enterprise messaging infrastructure supporting over 2,000 production clients.
Her optimization work improved system performance by nearly 14% and boosted throughput by 3,780 transactions per second, demonstrating her ability to extract maximum value from existing systems while maintaining code quality excellence.
Anisha holds a Master of Science in Information Systems from New York University's Graduate School of Arts and Science and a Bachelor of Engineering in Computer Engineering from the University of Pune.
Her academic foundation in machine learning is evidenced by her project work in early breast cancer detection using Spark MLlib, achieving 85.4% detection accuracy through sophisticated data engineering and decision tree analysis.
Her professional credentials are equally impressive, holding multiple AWS certifications including Solutions Architect Professional, DevOps Engineer Professional, Solutions Architect Associate, Developer Associate, Cloud Practitioner, and AI Practitioner. This comprehensive certification portfolio reflects her commitment to maintaining cutting-edge expertise across the rapidly evolving cloud landscape.
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