Ashok Venkata
Platform Engineer at GPR
Boston, Massachusetts, United States
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I'm Ashok, a Cloud platform engineer at GPR, a robotics/ autonomous vehicle positioning company. I'm building our cloud platform end to end: networks, clusters, pipelines, databases, and the tooling that holds them together, with AI coding agents as my only teammates.
Here's what I find remarkable: a few years ago, what I'm doing would have been impossible for a single engineer. Modern infrastructure tooling and AI pair-programming have quietly moved that line, and I don't think our industry has absorbed yet what that means for team size, cost, and who gets to build platforms at all.
We are actively working on shipping this to production in coming months. The next biggest challenge we are eager to solve and that in itself could be second half of the story: one engineer can now build a platform, but how does one engineer operate it at scale?
This is my first conference talk.
Area of Expertise
Topics
An End-to-End Lakehouse and ML Platform for Air-Gapped Fleets
Our systems work where the internet doesn't: air-gapped sites where vehicles collect sensor data with no cloud connectivity at all. Occasionally during maintenance window they get to offload.
This talk walks through the end-to-end pipeline we built for that reality, in five acts:
1. Offload: vehicles push archives through a self-hosted Supabase stack (Kong, GoTrue, PostgREST, Storage API) that doubles as the OLTP backend for our customer-facing applications.
2. Ingest: once archives land in S3, Databricks Auto Loader streams them into Delta tables under Unity Catalog — exactly-once, MERGE upserts, checkpoint recovery.
3. Post-process: machine-learning and map-processing jobs consume the lakehouse and publish trained models and processed maps back into it.
4. Compute: these jobs run as Argo Workflows on Kubernetes, scheduled across AWS (EKS + Karpenter) and Nebius (scale-to-zero GPU pools) — picking the cheapest viable backend per workload.
5. Consolidate: merging these three organically grown stacks into one VPC planning, to turn internal infrastructure into a real product.
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