Open to opportunities

sai pavan

@saipavan1

Message

I am a software engineer specializing in scalable web apps and cloud deployments.

United States

Message

What I'm looking for

I seek roles building scalable, cloud-native web applications with strong CI/CD practices, collaborative Agile teams, and opportunities to improve performance, automation, and user-centric design.

I am a detail-oriented and results-driven Software Engineer with 3+ years of hands-on experience designing, developing, and deploying scalable web applications and RESTful APIs.

At Epsilon, I developed scalable RESTful APIs using Python (Flask, Django) and PostgreSQL, migrated legacy applications to microservices architecture reducing system downtime by 25%, integrated AWS services (EC2, S3, Lambda) for high availability, and implemented CI/CD pipelines with Jenkins and Docker to cut release cycle times by 50%.

Previously at Trigent Software, I designed and deployed web applications using Flask and Angular.js improving end-user satisfaction by 30%, optimized PostgreSQL queries to reduce execution times by 50%, and applied TDD and automated CI/CD workflows to reduce post-deployment issues and accelerate deployments.

I collaborate cross-functionally in Agile environments to drive automation, performance tuning, and user-centric design. I am committed to leveraging emerging technologies and cloud-native architectures to deliver reliable, high-performance solutions.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

Epsilon

May 2023 - Present (2 years 3 months)

Developed scalable RESTful APIs and migrated legacy apps to microservices, reducing system downtime by 25% and decreasing query latency by 40%. Implemented CI/CD with Jenkins and Docker to cut release cycles 50% and increased test coverage 35%.

Python Flask Django PostgreSQL AWS Docker Jenkins CI CD

Junior Python Developer

Trigent Software

Sep 2020 - Nov 2021 (1 year 2 months)

Designed and deployed Flask and Angular.js web applications that improved end-user satisfaction 30% and reduced API response times 25%. Built CI/CD pipelines with Docker and Azure DevOps and applied TDD, cutting post-deployment issues 40% and accelerating deployments 35%.