# Chaitanya Jyothi Swaroop

> Software Engineer | 5+ Years in Python, Django, React | Cloud & DevOps (AWS, GCP, Docker, Kubernetes)

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/chaitanya

• Python Full Stack Developer with 5+ years of experience delivering scalable web applications, APIs, and automation solutions across fintech and enterprise domains.
• Skilled in backend development with Python, Django, Flask, and frontend engineering with React.js, TypeScript, and modern UI frameworks, ensuring seamless user experiences.
• Proficient in cloud-native deployments on AWS, GCP, and IBM Cloud, leveraging Docker, Kubernetes, and Terraform to build secure, resilient, and highly available applications.
• Strong background in database optimization (PostgreSQL, MySQL, MongoDB) and data processing (Pandas, NumPy), enabling high-performance analytics and real-time reporting solutions.
• Adept at Agile collaboration, mentoring, and implementing CI/CD pipelines, with a proven track record of improving delivery speed, system reliability, and business impact.

## Work Experience
### Software Engineer @ Stripe
Jan 2024 – Present
• Built and enhanced RESTful APIs with Python Django, enabling seamless integration for payment flows and improving transaction processing efficiency by 28% across merchant-facing applications.
• Designed responsive UIs using React.js and TypeScript, streamlining customer onboarding workflows and increasing completion rates by 21% across self-service sign-up journeys.
• Automated financial data validation pipelines using Python Pandas and PostgreSQL, reducing manual reconciliation time by 35% and ensuring greater accuracy for compliance reporting.
• Migrated critical services to AWS Lambda and Kubernetes, improving scalability during peak traffic surges and achieving 99.97% service availability across global payment systems.
• Partnered with security engineers to integrate OAuth2 and SAML authentication, strengthening identity management and reducing fraud risks in high-volume merchant platforms.
• Implemented caching strategies with Redis, reducing average API response latency by 32% and ensuring smoother user experiences for real-time payment status tracking.
• Built CI/CD pipelines using Jenkins, Docker, and Terraform, enabling faster deployments and reducing release rollbacks by 26% across core payment applications.
• Developed end-to-end test suits with PyTest, Selenium, and Jest, cutting post-release production bugs by 22% and improving customer trust in payment reliability.
• Optimized PostgreSQL queries and indexes, reducing transaction query execution times by 37% and boosting efficiency of fraud detection pipelines.
• Integrated real-time event processing with Apache Kafka, enabling faster reconciliation of cross-border transactions and reducing settlement delays by 18%.

### Software Engineer @ IBM
Jan 2020 – Jan 2023 | Banglore
Developed over 25 interactive Tableau dashboards to visualize revenue performance, regional P&L trends, sales pipeline Built responsive web applications using Python, Django, React.js, and REST APIs, enabling smoother client data workflows and reducing manual operations by 30% in financial domain projects.
• Developed and maintained end-to-end modules in a microservices architecture with Flask, PostgreSQL, and Docker, ensuring scalability and boosting application performance by 25% for retail clients.
• Collaborated with senior developers in Agile/Scrum teams, participated in sprint planning, and delivered user stories on time, improving on-time delivery rate from 82% to 95%.
• Designed RESTful APIs for payment gateway integration, using Django REST Framework, enhancing transaction success rate and enabling seamless e-commerce checkout experience for 50K+ users.
• Implemented unit and integration tests with PyTest and Selenium, automating regression testing and reducing QA cycle time by 40% across two large-scale applications.
• Assisted in database design and optimization using PostgreSQL and MySQL, creating efficient indexing strategies that improved query performance by 20% in client analytics systems.
• Deployed applications on AWS EC2, S3, and Lambda with CI/CD pipelines in Jenkins, accelerating deployment frequency from monthly to bi-weekly without downtime.
• Enhanced front-end UI/UX with React.js, JavaScript, and Bootstrap, improving user engagement and reducing customer complaints by 18% for internal HR management tool.
• Created interactive dashboards in Python with Flask and Chart.js, giving stakeholders real-time insights into customer onboarding KPIs, which improved decision-making efficiency.
• Documented project workflows, participated in code reviews and peer mentoring, contributing to knowledge sharing and improving junior developer onboarding time by 25% within the team.


## Education
### Master of Science in Computer Science
University of Bridgeport
Jan 2022 – Jan 2023

### Bachelor of Technology in Computer Science
Andhra University
Jan 2016 – Jan 2020


## Contact & Social
- LinkedIn: https://linkedin.com/in/chaitanya-jyothi-swaroop7576

---
Source: https://flows.cv/chaitanya
JSON Resume: https://flows.cv/chaitanya/resume.json
Last updated: 2026-03-22