Harish Krishna is a Director of Engineering in New York with 13 years of experience building scalable products and leading diverse global teams across startups and large enterprises. He has driven product and engineering at WeWork—scaling teams and tech through hypergrowth, helping stabilize the organization during a turnaround and building the Workplace SaaS—and led a ~100-engineer organization in China where he became a recognized local tech figure (韩睿世). A hands-on engineer, he has contributed to prominent open-source geospatial projects like Tilezen and Pelias, shaping vector-tile SQL and location-aware search APIs. He co-founded Kuvera.ai and has worked as a fractional CTO advising legal, manufacturing, and service companies, combining product-first strategy with operational rigor. Now at Meta, he blends creativity, resilience and strategic thinking to deliver commercial outcomes in high-pressure environments.
13 years of coding experience
16 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at The University of Texas at Arlington
Jawaharlal Nehru Technological University Hyderabad
Contributions:10 releases, 293 commits, 59 PRs in 10 months
Contributions summary:Harish contributed to the development of the Pelias Geocoder API. They added a search API endpoint and implemented features for location-aware search using latitude and longitude coordinates. Their work involved modifying the query logic to incorporate distance-based filtering and sorting. The user also implemented a reverse geocoding endpoint.
Tilezen vector tile service - OpenStreetMap data in several formats
Role in this project:
Database Engineer / Database Administrator
Contributions:51 commits, 1 comment in 6 months
Contributions summary:Harish primarily focused on modifying and enhancing SQL queries within the PostgreSQL database, likely for vector tile generation. Their contributions involved adding and modifying columns in SQL queries, specifically targeting water areas and points of interest. They also updated the SQL queries at various zoom levels and adapted them for integration with other systems, and also addressed merging conflicts. The work included creating new queries and refactoring zoom levels to improve performance or data structure.
pythonfltkmap-editortilesetmapzen
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