Vikram Oberoi
Engineering at citymeetings.nyc
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolVikram Oberoi is a seasoned software engineer and engineering leader with 16 years of experience building data-intensive systems, developer tools, and consumer products, and a BS in Computer Science from Stanford. He’s led teams from early-stage startups to scale—serving as CTO, VP of Engineering, and fractional/interim CTO for seed-to-Series A companies—while remaining hands-on as a product engineer. Vikram founded citymeetings.nyc, an AI-enabled civic transparency project that attracts over 10,000 monthly visitors and is used daily by City Hall, journalists, and advocates, demonstrating his ability to ship impactful public-facing products. His open-source work includes dialect-specific SQL transformations for the popular sqlglot parser, contributing practical database compatibility and analytical features. Comfortable across infrastructure, ML-enabled products, and data engineering, he combines hiring and org-building experience with direct coding, specs, and delivery. Colleagues rely on him for rapid ramp-ups in new domains and for turning complex data workflows into actionable products.
16 years of coding experience
8 years of employment as a software developer
Bachelor of Science Computer Science, Bachelor of Science Computer Science at Stanford University
Github Skills (13)
duckdb10
bigquery10
sql10
python10
transpiler9
postgresql9
sql-parser9
spark9
parserator9
parser9
trino8
snowflake8
mysql8
Programming languages (9)
Github contributions (5)
tobymao/sqlglot
Dec 2022 - Jan 2023
Python SQL Parser and Transpiler
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 8 PRs, 6 comments in 24 days
Contributions summary:Vikram primarily contributed to the `sqlglot` project by implementing dialect-specific SQL transformations and features for various database systems. This includes adding support for DuckDB-specific functionalities like handling `ARRAY` expressions and data type casting, and also incorporating BigQuery's `STRING_AGG` function. They expanded the project's functionality by introducing features like window clause builders and updating logical functions in the context of Spark, Postgres, and DuckDB dialects.
pythontranslationtsqlparserredshift
voberoi/python-magento
Feb 2013 - Apr 2015
Contributions:34 commits, 3 PRs, 2 pushes in 2 years 2 months
magento2pythonmagento
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