MANASWINI GOGINENI

Software Developer Intern at Cisco ThousandEyes

Developed a scalable integration dashboard using React, TypeScript, and Tailwind CSS to visualize multi-source telemetry, enhancing team efficiency and reducing analysis time by 30%. Built and optimized serverless backend services and GraphQL APIs with Node.js, Express, and AWS Lambda, improving data ingestion speed by 40% and reducing manual workflows by 70%. Automated webhook processing and CI/CD pipelines with Docker, Kubernetes, and GitHub Actions, achieving 99.9% uptime and reducing synchronization errors.

Python Developer Co-op at Electric Hydrogen

Developed a Python-based telemetry and monitoring system using AWS Lambda, CDK, and Slack Webhooks, improving real-time visibility and reducing cloud monitoring costs by 30%. Enhanced ETL reliability by 40% through DLQ-enabled Lambda → S3 ingestion workflows and automated alerting mechanisms for proactive data management. Optimized database performance and analytics speed by 35% via Python automation, PostgreSQL schema tuning, and modular microservice design for scalable backend operations. Streamlined CI/CD and infrastructure provisioning using Terraform, Boto3, and GitHub Actions, cutting deployment lead times by 25% and ensuring consistent, reproducible environments.

Software Engineer II at JPMorgan Chase & Co

Engineered cloud migration of legacy financial services to AWS using Terraform and CDK, reducing provisioning time by 20% and ensuring consistent multi-environment deployments. Boosted service reliability by 35% through Lambda/ECS optimization with ALB health checks, Step Functions, and DLQ-based recovery for high-load transaction systems. Developed CI/CD pipelines with GitHub Actions and SonarQube, cutting failed deployments by 30% while improving code quality and release stability. Refactored monolithic applications into Node.js microservices and containerized them via Docker and ECR, enhancing scalability and accelerating feature delivery.

Software Engineer Intern at JPMorgan Chase & Co

Developed a financial reporting platform using GoLang and AngularJS, automating onboarding analysis workflows and reducing manual reporting effort by 30%. Automated containerized deployments on AWS EKS with Docker and Jenkins CI/CD pipelines, accelerating release cycles by 40% and improving environment consistency. Enhanced system reliability by building Go-based RESTful APIs and implementing unit/integration testing with Jest and Mocha, improving overall application stability.

Software Developer Intern at Cisco ThousandEyes

Developed a scalable integration dashboard using React, TypeScript, and Tailwind CSS to visualize multi-source telemetry, improving analysis efficiency by 30%. Built and optimized serverless backend services and GraphQL APIs with Node.js, Express, and AWS Lambda, increasing data ingestion speed by 40% and reducing manual workflows by 70%. Automated webhook processing and CI/CD pipelines with Docker, Kubernetes, and GitHub Actions, achieving 99.9% uptime and minimizing synchronization errors.

Software Engineer II at JPMorgan Chase & Co

Engineered cloud migration of legacy financial services to AWS using Terraform and CDK, reducing provisioning time by 20% and ensuring consistent multi-environment deployments. Boosted service reliability by 35% through Lambda/ECS optimization with ALB health checks, Step Functions, and DLQ-based recovery for high-load transaction systems. Developed CI/CD pipelines with GitHub Actions and SonarQube, reducing failed deployments by 30% while improving code quality and release stability. Refactored monolithic applications into Node.js microservices and containerized them via Docker and ECR, enhancing scalability and accelerating feature delivery.