C

Chetan Sai Gangapalli

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Arlington, Texas, United States

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work
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Résumé

Jobs verified_user 0% verified
  • PTC
    Sotfware Engineer
    PTC
    Jan 2025 - Current (1 year 7 months)
    • Architected and deployed real-time backend workflows using ThingWorx JavaScript services, processing 10,000+ IoT sensor events per minute, reducing latency by 35%, and boosting SQL/PostgreSQL query throughput. • Delivered scalable REST API solutions within ThingWorx Composer, enabling data exchange with 5+ external systems and mobile apps, reducing integration time by 40%, utilizing JSON and HTTP endpoints. • Configured and maintained Thing Templates, Thing Shapes, and Thing Models in ThingWorx, enabling scalable modeling of industrial energy assets and facility zones. • Streamlined IoT device data flow by integrating edge devices with ThingWorx Foundation via MQTT, OPC-UA, and WebSocket, ensuring high-frequency, low-latency, two-way
  • J
    Software Development Engineer
    JP Morgan -
    Aug 2023 - Sep 2024 (1 year 2 months)
    • Developed low-latency, multithreaded microservices using Core Java (Concurrency, Multithreading), Spring Boot, and Kafka, reducing processing time by 60% and scaling to 5M+ daily messages. • Integrated FIX protocol adapters and built event-driven pipelines (Apache Kafka, Solace PubSub+) for real-time processing of 10M+ market and trade events from NYSE and NASDAQ. • Implemented pre-trade risk check modules with non-blocking I/O, JVM tuning, and GC optimization, reducing validation time by 40% and achieving 99.99% SLA compliance. • Built observability pipelines using Prometheus, Grafana, Micrometer, and ELK Stack, improving issue detection by 50% and enabling real-time latency tracking. • Containerized microservices on AWS EKS (Kubern
  • A
    Software Engineer
    Accenture solutions
    Nov 2021 - Jul 2022 (9 months)
    • Designed a scalable, event-driven microservices architecture using Spring Boot and Apache Kafka, reducing system latency by 20% and significantly boosting modularity. • Engineered and integrated RESTful APIs using Spring MVC, reducing communication delays and accelerating API responses by 40%. • Implemented OAuth2.0-based secure authentication across 25+ distributed modules, ensuring robust inter-service security compliance. • Developed and maintained CI/CD workflows via AWS CodePipeline and Lambda, reducing release cycles by 20%. • Enhanced backend performance by 40% through optimized batch job scheduling using Autosys and Unix scripting.
  • Version 1
    Full Stack Developer
    Version 1
    Jan 2021 - Oct 2021 (10 months)
    • Spearheaded real-time analytics dashboard development using React.js, Material UI, and Redux, improving fraud detection speed by 60%. • Architected and deployed REST and GraphQL APIs with Spring Boot, Node.js, and AWS S3/Redshift/PostgreSQL, supporting secure access to customer and transaction data. • Integrated AWS Cognito, OAuth2, and JWT for API and dashboard security, achieving zero unauthorized access incidents across internal banking portals. • Automated microservice deployments on AWS EKS (Kubernetes) using Jenkins CI/CD pipelines and Terraform, reducing production rollout time by 70%. • Improved API throughput by 45% through Redis caching, SQL query optimization, and asynchronous backend processing for highvolume banking tran
Education verified_user 0% verified
  • S
    Master's in Computer Science
    St. Francis College
  • Vellore Institute of Technology
    Bachelor of Electronics & Communication Engineering
    Vellore Institute of Technology
Projects (professional or personal) verified_user 0% verified
  • A
    Academic & Administrative Hub
    • Designed and deployed a centralized web-based University Management System to streamline administrative and academic operations, using Rest APIs, Heroku and GitHub for deployment and version control. • Implemented end-to-end backend solutions with Python and Flask REST APIs, ensuring data integrity, operational efficiency, and a secure, scalable environment for handling extensive datasets. • Engineered a scalable housing rental booking platform with Node.js, React, and TypeScript, enhancing user experience and increasing engagement. • Leveraged AWS services for real-time data handling and deployment, improving system responsiveness and scalability. • Added engagement tracking and analytics to support A/B experiments on pricing tiers
  • S
    Scalable Property Booking Platform
  • F
    Fake News Detection Using