Rohit Sanjay

Senior Software Engineer

San Francisco, California, United States4 yrs 7 mos experience

Most Likely To Switch

Key Highlights

Architected Confluent VS Code Extension with 12,000+ installs.
Achieved 40x decrease in query latencies at Noteable.
Expert in backend development with Python and Java.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and cloud technologies.

Contact

Skills

Core Skills

JavaGo (programming Language)PythonCockroachdbSpring BootGoogle Cloud Platform (gcp)

Other Skills

CI/CDSoftware DesignAsyncioSQLAlchemyFastAPIExtract, Transform, Load (ETL)React.jsSnowflakeSQLFlaskPython (Programming Language)HTMLJavaScriptC++Data Analysis

Experience

4 yrs 7 mos

Total Experience

1 yr 6 mos

Average Tenure

2 yrs 4 mos

Current Experience

Confluent

2 roles

Senior Software Engineer

Promoted

Mar 2025 – Present · 1 yr 1 mo · San Francisco, California, United States

Software Engineer

Dec 2023 – Mar 2025 · 1 yr 3 mos · San Francisco, California, United States

As a backend-focused Software Engineer on the then newly-formed Developer Tooling and eXperiences (DTX) team, I was one of the top contributors who helped architect and build the Confluent VS Code Extension from scratch, which has since gained over 12,000 installs on the VS Code Marketplace.
The extension enables developers to connect to their Apache Kafka/Confluent Schema Registry clusters, consume/produce topic messages, view/create Apache Flink statements, bootstrap starter projects -- all without having to switch context out of VS Code.

JavaGo (Programming Language)CI/CDSoftware Design

Noteable

Software Engineer - Backend

Jan 2022 – Dec 2023 · 1 yr 11 mos · San Francisco, California, United States · Remote

Owned backend/infrastructure design and implementation of the Noteable Git Integration and Notebook Scheduling features. Ensured a high degree of correctness with thorough integration tests.
Utilized memray (Python memory profiler) to debug and resolve critical memory leaks in Noteable's web server processes, resulting in an impressive 50% reduction in required operational resources along with significant cost savings.
Achieved a remarkable 40x decrease in query latencies for the Notebook Outputs API by implementing new CockroachDB database indexes.
Ran experiments to tune Python's automatic garbage collection thresholds, leading to a 15% reduction in the median lag of the asyncio event loops in the production webserver processes.

PythonCockroachDBAsyncioSQLAlchemyFastAPI

Goldman sachs

2 roles

Software Engineer

Aug 2021 – Dec 2021 · 4 mos · Bengaluru, Karnataka, India

Investment Banking Division

JavaSpring BootExtract, Transform, Load (ETL)React.jsSnowflakeSQL

Intern

Jan 2021 – Jul 2021 · 6 mos · Bengaluru, Karnataka, India

Investment Banking Division

Google summer of code

Google Summer of Code 2020 Intern at NumFOCUS

Jun 2020 – Aug 2020 · 2 mos

Built a new Python library called testbook (pip install testbook) - A unit test framework for testing code in Jupyter Notebooks.
Check it out at https://testbook.readthedocs.io
Previous attempts at unit testing notebooks involved writing the tests in the notebook itself. However, testbook will allow for unit tests to be run against notebooks in separate test files, hence treating .ipynb files as .py files.
testbook helps you set up conventional unit tests for your Jupyter Notebooks.