Azmath Hussain
Software Engineer | Full Stack Developer | Java, Spring Boot, React | Microservices | API Design | NLP | Angular, Node.js, Python | AWS, Azure | CI/CD | Scalable Systems | FinTech & Healthcare
- Role
- Software Engineer at Concentrix
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Azmath Hussain
Software Developer with 4 years of experience building scalable, cloud-native applications and designing distributed systems in FinTech,Healthcare and AI-powered Platforms.Passionate about architecting high-performance backend services, crafting robust full-stack solutions, and solving real-world problems with modern technologies. Strong foundation in data structures, algorithms, and system design. Technical Skills:Languages: Java, Python, JavaScript, TypeScript, C++, C#Frameworks: Spring Boot, Spring, React.js, Angular, Node.js, Express.js.NET, Flask, DjangoDatabases: PostgreSQL, MySQL, MongoDB, Cassandra, DynamoDB, RDS, ElasticsearchCloud Platforms: AWS (Lambda, EC2, ECS, EKS, SQS, SNS, Elastic Beanstalk), Google Cloud (GKE, Pub/Sub, App Engine)DevOps & Infra: Docker, Kubernetes, Jenkins, Git, Linux, CI/CDMonitoring & Messaging: Grafana, Prometheus, Kafka, Firestore, GraphQL🧾 Certifications: AWS Certified Developer – Associate Open to backend, full-stack, and cloud engineering roles using Java, Spring Boot, React, and Python/.NET in fast-paced environments. Ready for remote, onsite, or hybrid opportunities across the United States.
Experience
Software Engineer
Jul 2024 — Present
Tech Stack: Java 11, Spring Boot, React.js, AWS (SNS, SQS, Lambda), Docker, Jenkins, Amazon Comprehend, REST APIs, CI/CD, Microservices, NLP->Developed a Spring Boot microservice to process Amazon Connect sentiment scores, reducing escalated response time by 23% via real-time routing triggers->Built a WebSocket-powered React.js dashboard for supervisors, decreasing escalation volume by 18% across 100+ daily users->Integrated Amazon Comprehend NLP to improve sentiment detection accuracy to 96.3% over 10K+ voice and chat interactions->Automated REST-based alerting workflows using AWS SNS/SQS, cutting manual intervention by 37% across support flows->Reduced deployment rollback by 40% through Dockerized CI/CD pipelines using Jenkins and CloudFormation.
Education
Velagapudi Ramakrishna Siddhartha Engineering College
Bachelor of Technology - BTech
2017 — 2021
University of North Carolina at Charlotte
Master's degree
2023 — 2024
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