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Software engineer with 5+ years of experience building scalable, cloud-native web applications and distributed systems using Java (Spring Boot), Node.js, React, TypeScript, and microservices. Expertise in secure REST APIs, event-driven architectures with Kafka, and enterprise-grade solutions focused on performance, scalability, reliability, and security. Hands-on with AWS, Docker, Kubernetes, and CI/CD automation (GitHub Actions, Jenkins), along with strong data and AI/ML experience. Built AI-powered features using OpenAI APIs, LangChain, RAG, Hugging Face Transformers, and scikit-learn—delivering measurable improvements in fraud detection and customer experience in production environments.…Software engineer with 5+ years of experience building scalable, cloud-native web applications and distributed systems using Java (Spring Boot), Node.js, React, TypeScript, and microservices. Expertise in secure REST APIs, event-driven architectures with Kafka, and enterprise-grade solutions focused on performance, scalability, reliability, and security. Hands-on with AWS, Docker, Kubernetes, and CI/CD automation (GitHub Actions, Jenkins), along with strong data and AI/ML experience. Built AI-powered features using OpenAI APIs, LangChain, RAG, Hugging Face Transformers, and scikit-learn—delivering measurable improvements in fraud detection and customer experience in production environments.

SHREYA SRI BEARELLY

Web Developer, Back-End Developer, Full Stack Developer, +2

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Software engineer with 5+ years of experience building scalable, cloud-native web applications and distributed systems using Java (Spring Boot), Node.js, React, TypeScript, and microservices. Expertise in secure REST APIs, event-driven architectures with Kafka, and enterprise-grade solutions focused on performance, scalability, reliability, and security. Hands-on with AWS, Docker, Kubernetes, and CI/CD automation (GitHub Actions, Jenkins), along with strong data and AI/ML experience. Built AI-powered features using OpenAI APIs, LangChain, RAG, Hugging Face Transformers, and scikit-learn—delivering measurable improvements in fraud detection and customer experience in production environments.…Software engineer with 5+ years of experience building scalable, cloud-native web applications and distributed systems using Java (Spring Boot), Node.js, React, TypeScript, and microservices. Expertise in secure REST APIs, event-driven architectures with Kafka, and enterprise-grade solutions focused on performance, scalability, reliability, and security. Hands-on with AWS, Docker, Kubernetes, and CI/CD automation (GitHub Actions, Jenkins), along with strong data and AI/ML experience. Built AI-powered features using OpenAI APIs, LangChain, RAG, Hugging Face Transformers, and scikit-learn—delivering measurable improvements in fraud detection and customer experience in production environments.

Available to hire

Software engineer with 5+ years of experience building scalable, cloud-native web applications and distributed systems using Java (Spring Boot), Node.js, React, TypeScript, and microservices. Expertise in secure REST APIs, event-driven architectures with Kafka, and enterprise-grade solutions focused on performance, scalability, reliability, and security.

Hands-on with AWS, Docker, Kubernetes, and CI/CD automation (GitHub Actions, Jenkins), along with strong data and AI/ML experience. Built AI-powered features using OpenAI APIs, LangChain, RAG, Hugging Face Transformers, and scikit-learn—delivering measurable improvements in fraud detection and customer experience in production environments.

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Work Experience

Software Engineer at PNC Bank

February 1, 2025 - Present

Engineered an AI-powered Digital Banking Intelligence Platform by building scalable microservices with Java, Spring Boot, Kafka, and OpenAI APIs to support real-time transaction processing, intelligent customer insights, and fraud-risk analysis. Integrated generative AI using OpenAI, LangChain, Retrieval-Augmented Generation (RAG), and vector databases to provide contextual banking assistance and automate knowledge retrieval for customer support. Architected cloud-native APIs on AWS using Docker and Kubernetes with secure REST standards, improving deployment efficiency. Developed user-facing features using React.js, TypeScript, Redux, and AI recommendation engines to increase engagement. Implemented machine learning pipelines using Python, scikit-learn, and Hugging Face Transformers for anomaly detection and predictive analytics, and automated MLOps/observability using Prometheus, Grafana, ELK stack, GitHub Actions, Jenkins, and automated testing frameworks to ensure reliable deploymen

Software Engineer at Dell Technologies

January 1, 2019 - March 1, 2023

Contributed to the Edge Infrastructure Monitoring Platform by developing backend services and web-based components for device management, health monitoring, and operational visibility. Built RESTful APIs using Java, Spring Boot, and PostgreSQL to enable secure data exchange for 10,000+ managed assets. Enhanced frontend dashboards using React.js, JavaScript, HTML5, and CSS3 to improve usability. Collaborated on microservice-based applications using Git, Maven, and Agile practices. Automated operational data processing with Python and Bash, reducing manual effort, and improved observability by integrating ELK stack and Grafana for logging, monitoring, and alerting. Participated in CI/CD using GitHub Actions, Docker, and Jenkins to increase release frequency, and supported quality through unit/integration testing with JUnit and Mockito to achieve strong test coverage.