Backend and data engineer, Bengaluru. I build systems that can tell you when they are wrong — evaluation harnesses, reconciliation gates, measured baselines rather than plausible-looking output.
Portfolio: veer0608.github.io · Résumé: PDF · veerarora06@gmail.com
Open to backend, data, and AI-engineering roles — Bengaluru or relocating.
| schemablind | A SQL agent given no schema — four verbs, a database it has never seen, and a question. Scored on BIRD execution accuracy: the agent's rows against the reference query's, no judge model. The harness proves itself first (oracle 100%, mute 0%). No complete model run yet. |
| citerag | Cite-everything RAG over messy 10-K PDFs with a golden-set eval harness. recall@5 0.37 → 0.77 against a measured 0.85 ceiling. The wins came from fixing PDF text extraction, not from clever retrieval. |
| moneytrail | Local-first bank-statement ledger that provably balances. Reconciliation is the first component, not categorisation — if the parse dropped a row, every insight built on it is quietly wrong. |
| agencydesk | Multi-tenant project management where tenant isolation is enforced by PostgreSQL row-level security, not application code. React + FastAPI + Postgres 16. |
| agentops | Support agent that takes gated actions behind a policy/escalation gate, with a provider-agnostic LLM seam and a built-in eval harness for tool selection, grounding, cost and latency. |
Previously: tested Nostradamus at L&T Finance, an MLOps platform running eight models across EWS, Banking, Self-Cure and Collections — pipeline validation, SQL verification and UAT on GCP and Kubeflow.
Python · FastAPI · PostgreSQL · pandas · LangGraph · pytest · TypeScript · React