Saras Nagaria

Software Engineer

Jhansi, Uttar Pradesh, India8 mos experience

Key Highlights

Expert in building scalable backend systems.
Proficient in Google Cloud Platform and Python.
Strong foundation in full stack development.

Stackforce AI infers this person is a Full Stack Developer with expertise in SaaS applications.

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Skills

Core Skills

Google Cloud Platform (gcp)PythonFlask

Other Skills

PostgreSQLDatastoreAWS S3Amazon Web Services (AWS)DockerPub/subRedisGoogle App EngineMERN StackNode.jsExpress.jsReact.jsMongodbKotlinAndroid Studio

About

A Full Stack Developer with strong foundation in web development, competitive programming, and Android development, possessing hands-on experience in end-to-end application development. Skilled in programming languages including Java, Python, and JavaScript. Proficient in Frontend (React.js, Redux, Material UI, CSS), Backend (Node.js, Express.js, Flask), and Databases (MongoDB, GCP Datastore, Firestore, MySQL). Skilled in leveraging Cloud Platforms like GCP (App Engine, Cloud Run, BigQuery) and services such as Cloudinary for scalable solutions. Experienced with DevOps practices (Jenkins, Linux/Bash), design patterns (Pub/Sub), and tools like Nginx (reverse proxy), and Redis for high-performance systems. Passionate about building robust, scalable applications and eager to contribute to innovative projects in dynamic environments. I am currently seeking full-time (SDE) opportunities where I can contribute, learn, and grow.

Experience

8 mos

Total Experience

8 mos

Average Tenure

8 mos

Current Experience

Bluestacks

2 roles

Software Engineer

Sep 2025 – Present · 8 mos

Built a scalable backend for the Rewarded User Acquisition (UA) module, integrating third-party providers using a common datastore schema and reusable cron-based synchronization, with postback handling.
Worked on PlayPal backend features by implementing fraud detection, daily app enrollment limits (up to N apps), and regional cashout integrations (NaverPay), improving user engagement.
Improved backend reliability and reduced infrastructure costs by analyzing BigQuery and Datastore usage, deprecating unused tables, and resolving production performance issues.

PythonGoogle Cloud Platform (GCP)