Vaishnavi Porandla

Backend Engineer

Hyderabad, Telangana, India2 yrs 3 mos experience

Key Highlights

Expert in Backend Engineering with Python and FastAPI.
Proficient in designing scalable distributed systems.
Strong experience in CI/CD automation and Docker orchestration.

Stackforce AI infers this person is a Backend Engineer specializing in scalable systems and DevOps in the SaaS industry.

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Skills

Core Skills

Backend EngineeringSystem DesignDevops

Other Skills

PythonFastAPIDockerPostgreSQLRedisRabbitMQGitHub ActionsGoogle WorkspaceMachine Learning AlgorithmsSoftware DevelopmentEmployabilityApp StoreTechnical Data AnalysisApplied Machine LearningCommunication

About

"MSc Computer Science graduate specializing in Backend Engineering. I build scalable systems using Python, FastAPI, and Docker. I have hands-on experience in: ✅ Distributed Systems: Implementing Fan-out architecture & Message Brokers (RabbitMQ). ✅ DevOps: Automating deployments with CI/CD & GitHub Actions. ✅ Databases: PostgreSQL and Redis for caching. I’m passionate about system design and high-concurrency backend simulations. Looking for SDE/Backend roles."

Experience

2 yrs 3 mos

Total Experience

2 yrs 3 mos

Average Tenure

2 yrs 3 mos

Current Experience

Github (open source & personal projects)

Backend Developer (Personal Projects)

Jan 2024 – Present · 2 yrs 3 mos · Hyderabad, Telangana, India · Remote

1. Multi-Service Microservices Orchestration (Docker Containerization)
Orchestrated a multi-container microservices environment using Docker Compose, integrating a FastAPI backend with PostgreSQL, Redis, and RabbitMQ.
Implemented seamless service discovery via internal Docker networking, allowing secure communication via service aliases.
Enhanced system resilience by developing custom health-check logic in Python to manage database and message broker dependencies.
2. Twitter System Design Simulation (Backend Architecture)
Designed a high-concurrency simulation focusing on "Fan-out on Write" logic to ensure O(1) time complexity for user feed retrieval.
Modeled complex data relationships using a Social Graph and implemented Redis caching to reduce database load.
3. Automated CI/CD Pipeline for Web Application
Developed a CI/CD pipeline using GitHub Actions to automate testing and deployment.
Integrated Pytest for unit testing and used Docker to automatically build and push images to a registry upon successful tests.
Tech Stack: Python (FastAPI, Flask), Docker, Docker Compose, RabbitMQ, Redis, PostgreSQL, GitHub Actions, and System Design.