Shubham Cholke

Project: NICE CxONE (Customer Experience Platform)

• Designed and implemented serverless backend services using Node.js and AWS Lambda, improving request throughput by 30% while reducing latency by ~25% for high-traffic APIs.
• Created Lambda infrastructure with CloudFormation templates, automating provisioning and reducing deployment errors by 95%.
• Developed scalable REST APIs with Node.js, Express.js, and API Gateway, improving integration performance and handling ~1M+ API calls/month securely.
• Designed and optimized DynamoDB schemas to support low-latency queries, reducing response time by 40% for mission-critical workloads.
• Configured API Gateway with custom authorizers, throttling, and usage plans, ensuring secure and cost-efficient API consumption across clients.
• Integrated event-driven workflows with SNS, SQS, and EventBridge, enabling asynchronous processing and improving system reliability by 50%.
• Built shared Lambda layers for utility functions, reducing code duplication and improving maintainability across microservices.
• Implemented structured logging, alarms, and dashboards in CloudWatch, reducing production issue triage time by ~40%.
• Collaborated with frontend and QA teams, delivering Swagger/OpenAPI documented APIs that reduced integration issues by 35%.

Impact: Significantly improved the performance, scalability, and observability of critical backend services, directly contributing to a faster customer experience and lower operational costs.

Project: Casino Data Analytics & Guest Engagement Platform

• Built dynamic Angular components for dashboards, maps, and real-time visualizations, enhancing customer insights and improving decision-making speed by ~45%.
• Developed RESTful APIs with Node.js & Express.js, ensuring seamless integration between frontend apps and backend services, improving overall API reliability by 40%.
• Designed and optimized Neo4j graph data models to capture guest interactions and relationships, reducing query execution times by ~60% compared to relational DB solutions.
• Wrote high-performance Cypher queries for analytics, cutting computation time from minutes to seconds for large-scale datasets.
• Integrated Neo4j with Node.js applications, enabling hybrid pipelines for real-time graph-based recommendations.
• Refactored backend with modular Express middleware, reducing redundant code by 30% and improving developer onboarding.
• Enhanced MySQL query performance by indexing and query optimization, leading to faster report generation (~35% improvement).
• Actively participated in sprint planning, requirement gathering, and feature design, delivering modules on time while mentoring junior developers.
• Collaborated closely with DevOps teams to streamline CI/CD pipelines, reducing deployment cycle time by 20%.

Impact: Delivered highly interactive, scalable, and data-driven features that strengthened product adoption and customer satisfaction, while improving backend performance and maintainability.