Narayanasvamee

AI/ML Professionals, Data Engineering, Data Science, Java Full Stack development, Power Apps, Micro Service Architecture, NFR - Non Functional Requirements, Observability, Performance, Architect/ Engineering manager

Role
Architect at Nokia
Location
Hyderabad, TG, IN
LinkedIn followers
500 followers
Art, Culture and Creative ProfessionalsView LinkedIn profile

About Narayanasvamee

Machine Learning Professional and System Architect with 14+ years driving enterprise innovation with AI/ML, Generative AI, Java microservices, and cloud-native solutions. Expertise in full-stack platforms, intelligent automation, and building AI-first enterprise products with global scale. Strong stakeholder management with global exposure (HK, UK and USA). Centre of Excellence over Rapid Application Development with American Airlines • Strong expertise in developing backend applications using the Spring Boot framework • Proven experience in designing, implementing, and scaling microservices architectures using Spring boot. Expertise in breaking down monolithic applications into microservices for improved flexibility and maintainability • AWS (ECS, Lambda, S3), Azure, Terraform, Jenkins, Spinnaker, Jules, Kubernetes, CI/CD • Java, Spring Boot, React JS, Microservices, REST APIs, JPA, Hibernate, JSON, Git • Cosmos DB, Oracle, MongoDB, OpenSearch, SQL, ELK Stack, Azure Log Analytics, Postgres SQL • JProfiler, Postman, JMeter, Dynatrace, Splunk, Docker, Jira • Comprehensive understanding and hands-on experience with Amazon Web Services (AWS) and Azure Proficient in deploying and managing applications on AWS, utilizing services like EC2, Lambda • Skilled in both front-end and back-end development, ensuring end-to-end development capabilities react js, next js and UI design • Experience with modern UI frameworks and libraries, such as React or Angular, for building responsive and intuitive user interfaces • In-depth knowledge of security best practices in application development and deployment on AWS and Azure • • Ensures compliance with industry standards and regulations related to data security Proven ability to optimize application performance, focusing on response times, resource utilization, and scalability • Implements caching strategies and other performance-enhancing techniques. Specialized in non-functional requirements such as application performance, security, Database optimization, code optimization, caching implementation overall tuning of application o Implemented performance optimizations by caching frequently accessed configurations and redesigning API payload structures. o Enabled support for high concurrency, helping the system scale to support global sales teams. o Hardened the system security with role-based access, audit trails, and sensitive data masking. o Improved system observability by integrating logs with ELK stack and defining key service-level metrics.

Experience

  1. Architect

    Nokia

    May 2024 — Present · Hyderabad, IN

    Spearheaded enhancements and major releases across critical modules of the CPQ product.Tuned microservices for performance and observability, ensuring stability and traceability under heavy load.Designed and implemented a dedicated logging framework for 17 Spring Boot microservices, integrating logs into a centralized logging microservice.Developed a custom ReactJS frontend for real-time log visualization.Bypassed Azure Log Analytics Workspace, significantly reducing logging cost and increasing observability flexibility.Optimized Cosmos DB queries, resolving application latency and reducing response time.Performed heap dump analysis using JProfiler, helping identify and fix memory leaks and optimize resource consumption.Conducted end-to-end code optimization, eliminating performance bottlenecks and improving throughput.Proposed and led the transition from NoSQL to PostgreSQL, resolving data consistency issues and improving transactional reliability.Actively participated in RFP (Request for Proposal) discussions, representing the technical strategy and architecture to stakeholders and clients.Integrated an ML model for automatic quote generation tailored for the sales process.Conducted data pipeline analysis and selected XGBoost as the most suitable algorithm based on data patterns.Successfully trained and configured the model to deliver ~80% accuracy, greatly enhancing quoting speed and precision.

Education

  • Sri Venkateswara University

    Master’s Degree, Masters in computer application

    2007 — 2010

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Narayanasvamee — Architect at Nokia in Hyderabad, TG, IN | Unifers