Neeraj Rajasekar
Redlands, California, United States
Summary
👤
Senior🎓
Top SchoolNeeraj Rajasekar is a data and backend engineering leader with nine years of experience building scalable SaaS systems and geospatial data pipelines, now co-founding an InsurTech focused on flood risk. He has led multi-year initiatives at startups and established companies—most recently as Staff Data Engineer at Convex and Data Engineering Manager at GridX—bringing pragmatic architecture, observability, and reliability to production data platforms. His background at Esri and work processing hyperspectral and satellite imagery give him deep domain expertise in GIS and large-scale geospatial processing. Neeraj combines hands-on skills across Python, Spark, AWS, Databricks, and modern LLM tooling with a strong emphasis on DevOps, IaC, and data governance. He’s currently experimenting at the intersection of Data and Generative AI using platforms like LangChain, Hugging Face and Claude to build novel location-aware applications. Based in Redlands, CA and trained at Stanford, he pairs academic rigor with startup pragmatism to turn complex spatial-data problems into reliable products.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.) Civil Engineering, Bachelor of Technology (B.Tech.) Civil Engineering at National Institute of Technology KarnatakaMaster of Science (MS) Civil and Environmental Engineering, Master of Science (MS) Civil and Environmental Engineering at Stanford University
Tamil, Kannada, Hindi, EnglishGithub contributions (2)
nRajasekar92/DevSummit-2017
Mar 2017 - Feb 2018
Contributions:7 commits, 5 pushes, 1 branch in 1 year
nRajasekar92/test_repo
Mar 2017 - Mar 2017
Contributions:2 PRs, 3 pushes, 2 branches in 1 day
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