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I'm a software engineer with 3 years of experience building scalable distributed systems for banking, trading, and tech. I specialize in Java, Python, and JavaScript, with a strong focus on microservices, event-driven architectures, and cloud-native development on AWS and Azure. I enjoy delivering reliable APIs, data pipelines, and user-facing dashboards that empower teams. In my roles at JPMorgan Chase and Dell Technologies, I delivered systems handling thousands of trades per day, implemented AI-powered compliance models, and advanced CI/CD practices to accelerate releases. I'm a collaborative team player who values clean code, automated testing, and continuous learning.…I'm a software engineer with 3 years of experience building scalable distributed systems for banking, trading, and tech. I specialize in Java, Python, and JavaScript, with a strong focus on microservices, event-driven architectures, and cloud-native development on AWS and Azure. I enjoy delivering reliable APIs, data pipelines, and user-facing dashboards that empower teams. In my roles at JPMorgan Chase and Dell Technologies, I delivered systems handling thousands of trades per day, implemented AI-powered compliance models, and advanced CI/CD practices to accelerate releases. I'm a collaborative team player who values clean code, automated testing, and continuous learning.

Dileep Varma Rudraraju

Web Developer, Full Stack Developer, Front-End Developer, +3

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I'm a software engineer with 3 years of experience building scalable distributed systems for banking, trading, and tech. I specialize in Java, Python, and JavaScript, with a strong focus on microservices, event-driven architectures, and cloud-native development on AWS and Azure. I enjoy delivering reliable APIs, data pipelines, and user-facing dashboards that empower teams. In my roles at JPMorgan Chase and Dell Technologies, I delivered systems handling thousands of trades per day, implemented AI-powered compliance models, and advanced CI/CD practices to accelerate releases. I'm a collaborative team player who values clean code, automated testing, and continuous learning.…I'm a software engineer with 3 years of experience building scalable distributed systems for banking, trading, and tech. I specialize in Java, Python, and JavaScript, with a strong focus on microservices, event-driven architectures, and cloud-native development on AWS and Azure. I enjoy delivering reliable APIs, data pipelines, and user-facing dashboards that empower teams. In my roles at JPMorgan Chase and Dell Technologies, I delivered systems handling thousands of trades per day, implemented AI-powered compliance models, and advanced CI/CD practices to accelerate releases. I'm a collaborative team player who values clean code, automated testing, and continuous learning.

Available to hire

I’m a software engineer with 3 years of experience building scalable distributed systems for banking, trading, and tech. I specialize in Java, Python, and JavaScript, with a strong focus on microservices, event-driven architectures, and cloud-native development on AWS and Azure. I enjoy delivering reliable APIs, data pipelines, and user-facing dashboards that empower teams.

In my roles at JPMorgan Chase and Dell Technologies, I delivered systems handling thousands of trades per day, implemented AI-powered compliance models, and advanced CI/CD practices to accelerate releases. I’m a collaborative team player who values clean code, automated testing, and continuous learning.

Skills

Experience Level

Expert

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Intermediate

Work Experience

Software Engineer at JPMC

October 1, 2024 - November 24, 2025

Crafted financial web platforms for payments, reconciliation, and analytics using React (TypeScript, Redux) and Python microservices, serving 8K+ users across 4 trading divisions. Built AI-driven NLP models with Hugging Face Transformers and PyTorch for automated compliance validation and document classification across 10K+ records. Architected Spring Boot microservices for transaction validation and settlement, enabling 200K+ trades/day with sub-second latency and zero data loss. Devised cloud-native architectures on AWS with EKS, Lambda, and S3, implementing monitoring and alerting via Prometheus and Grafana to improve system uptime and resilience. Optimized RESTful and GraphQL APIs across 15+ internal systems and 8 vendor platforms, ensuring strict SOX and PCI-DSS compliance. Automated multi-terabyte trade data pipelines using Python, SQL Server, and Kafka, accelerating reconciliation cycles and improving data traceability. Launched modular React and Angular dashboards providing rea

Software Engineer at Dell Technologies

December 1, 2022 - December 1, 2022

Engineered enterprise-scale applications using Java 8/11, Spring Boot, Hibernate, Python, and Flask/Django, delivering secure and high-performance RESTful systems for global clients. Developed dynamic front-end interfaces with React.js and Angular, established Redux/NgRx for state management, enhancing UI responsiveness and accessibility. Integrated enterprise platforms with Oracle, MySQL, and MongoDB, optimizing schema design and queries to improve data retrieval speed and reporting accuracy. Re-architected legacy monoliths into microservice architectures and deployed them on Azure Kubernetes Service (AKS), improving scalability and maintainability across environments. Orchestrated CI/CD pipelines using Jenkins, Maven, Git, Docker, and Kubernetes, cutting deployment time by 40% and streamlining release workflows. Conducted performance tuning and load testing with JMeter, boosting throughput by 25% and reducing latency in enterprise-grade applications. Partnered with QA and DevOps to i

Software Engineer at JPMorgan Chase (JPMC)

October 1, 2024 - November 24, 2025

Built financial web platforms for payments, reconciliation, and analytics using React (TypeScript, Redux) and Python microservices, serving 8K+ users across 4 trading divisions. Implemented AI-driven NLP models with Hugging Face Transformers and PyTorch for automated compliance validation and document classification across 10K+ records. Architected Spring Boot microservices for transaction validation and settlement, enabling 200K+ trades/day with sub-second latency and zero data loss. Delivered cloud-native architectures on AWS (EKS, Lambda, S3) with Prometheus and Grafana-based monitoring to improve uptime and resilience. Optimized RESTful and GraphQL APIs across 15+ internal systems and 8 vendor platforms, ensuring SOX and PCI-DSS compliance. Automated multi-terabyte trade data pipelines using Python, SQL Server, and Kafka, accelerating reconciliation cycles and improving data traceability. Launched modular React and Angular dashboards providing real-time risk and portfolio analytics