Gururaj Kulkarni

Software Engineer

Mountain View, California, United States5 yrs 2 mos experience

Key Highlights

Led development of Uber Shuttle product features.
Optimized ETL pipelines at Tesla for data efficiency.
Strong foundation in scalable software systems.

Stackforce AI infers this person is a Software Engineer with expertise in scalable systems and data engineering across Tech and Gaming industries.

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Skills

Core Skills

Data EngineeringEtlSoftware DevelopmentMicroservices ArchitectureMicroservicesContainerizationData ScienceMachine Learning

Other Skills

PySparkAzure DatabricksPython (Programming Language)Graph QLPostgreSQLAzure Data LakeAzure Data FactoryGo (Programming Language)gRPCCassandraApache KafkaBazelPrestoAWS LambdaREST APIs

About

I am currently a graduate student in Computer Science at Arizona State University. I am passionate about building innovative and robust software systems at scale that leverage the transformative capabilities of AI and machine learning. With a strong foundation in building scalable systems honed through my experience at industry leaders like Uber and Tesla, I thrive on solving complex problems and delivering high-impact solutions. At Uber, I was part of the core team that developed the new Uber Shuttle product (https://www.uber.com/in/en/ride/uber-shuttle/), where I led the design and implementation of various high-impact features that were instrumental in launching the product in new cities. My recent internship at Tesla allowed me to deepen my expertise in data engineering, where I optimized ETL pipelines, improved data load efficiency, and contributed to enhanced asset management. I am actively seeking opportunities in software engineering and machine learning, where I can leverage my technical skills in Python, Golang, and cloud technologies, along with my hands-on experience in AI, to drive innovation and create scalable, data-driven solutions.

Experience

5 yrs 2 mos

Total Experience

Average Tenure

Current Experience

Tesla

Software Engineer Intern

May 2024 – Aug 2024 · 3 mos · Seattle, Washington, United States · On-site

Team: T360, Information Security
Designed & implemented ETL pipelines using PySpark on Databricks for integrating new data sources into Tesla's information security platform.
Built features to enhance asset management and security posture, providing a comprehensive 360-degree view.
Improved data load efficiency and reliability through job optimizations like parallel processing, checkpointing and caching.

PySparkAzure DatabricksPython (Programming Language)Graph QLPostgreSQLAzure Data Lake+3

Uber

Software Engineer 2

Aug 2021 – Aug 2023 · 2 yrs · Bengaluru, Karnataka, India · On-site

Team: Trip Experience, High Capacity Vehicles
Contributed to the development and enhancement of Uber Shuttle (High Capacity Vehicles).
Designed and implemented Uber’s new subscription stack with 20+ microservices for the High Capacity Vehicles (HCV) product. Led migration project for Uber shuttle subscriptions to the new stack, improving efficiency, maintainability, and reliability.
Developed new HCV home screen. Developed algorithm for customizing bus routes on HCV home screen, enhancing user engagement and satisfaction.

Go (Programming Language)MicroservicesgRPCPython (Programming Language)CassandraApache Kafka+4

Zynga

3 roles

Software Engineer 2

Mar 2021 – Aug 2021 · 5 mos · On-site

Team: Game Play Services, Central Technology
Managed a high-volume microservice handling 500 million API calls daily for seamless delivery of messages via email, push notifications, and Facebook notifications.
Designed and implemented a new messaging system by integrating with Firebase Cloud Messaging and Apple Push Notification Service, reducing costs and improving efficiency.
Led initiatives to ensure compliance with GDPR regulations, particularly in the development of email marketing APIs.

Go (Programming Language)AWS LambdaREST APIsAmazon Web Services (AWS)MySQLRedis+2

Software Engineer

Jun 2019 – Feb 2021 · 1 yr 8 mos · On-site

Team: Game Play Services, Central Technology
Developed and maintained RESTful microservices utilized by multiple game teams, ensuring scalability and efficiency across platforms.
Led a key project focused on the selective synchronization and migration of data to a third-party service for optimized message delivery, enhancing communication workflows and data integrity.
Developed C# client SDKs enabling seamless interaction between all games and the shared microservices.

Go (Programming Language)REST APIsAmazon Web Services (AWS)PostgreSQLC#Redis+2

Software Engineer Intern

Jan 2019 – May 2019 · 4 mos · On-site

Team: Game Play Services, Central Technology
Containerized admin portals, microservices, and test suites using Docker for Game Play Services in Zynga.
Developed various test suites for platform services including acceptance, integration, regression, and UI automation tests.

JavaGo (Programming Language)Python (Programming Language)Amazon ECSContainerizationSoftware Development

Pattern effects labs

Summer Intern

Jun 2018 – Jul 2018 · 1 mo · Bengaluru, Karnataka, India · On-site

Developed tools for aggregating raw stock intra-day data to inter-day statistics using bucket hashing techniques, optimizing for large datasets.
Designed a framework for preprocessing data and fitting features on ML models, enhancing prediction accuracy.
Leveraged advanced data processing techniques to transform raw data into actionable insights.

Machine LearningPython (Programming Language)TensorFlowData Science

Myshubhlife

Data Science Intern

Jun 2017 – Aug 2017 · 2 mos · Bengaluru, Karnataka, India · On-site

Developed a loan default prediction algorithm by analyzing text message features, improving credit risk assessment accuracy.
Automated reporting of loan portfolio statistics to streamline processes and enhance decision-making.

JavaPython (Programming Language)MySQLMongoDBData ScienceMachine Learning