I build the infrastructure that makes AI systems reliable at scale.

One of five backend engineers who built Connexio, Lowe's internal data platform that replaced Informatica and Talend at petabyte scale. Now focused on the control layer underneath agentic systems — the part that has to be right every single time. NYU CS, based in New York.

1M+
events / sec at peak
19,000+
pipelines orchestrated
50+
engineering teams served
01

Selected work

Connexio
Software Engineer, Data Platform · Lowe's
Scala Spark Streaming Petabyte Scale
Problem

Lowe's ran its data movement on costly vendor ETL (Informatica, Talend), while 50+ engineering teams needed reliable pipelines at petabyte scale.

Decision

As one of five backend engineers building the internal replacement, I architected the RDBMS ingestion and transformation framework in Scala (Postgres, MySQL, Oracle, Teradata, DB2) and the Spark Structured Streaming layer, plus guardrails: PII masking, schema enforcement, validation gates.

Outcome

1M+ events/sec at peak across 19,000+ pipelines for 50+ teams, with a 60% drop in support escalations.

ASG — Agentic Severance Gateway IN PROGRESS
Original architecture · Independent
AI Safety Infra Runtime Control Plane
Problem

Agentic systems can take real, irreversible actions with no control plane to catch dangerous ones before they run.

Decision

Designing a runtime layer that scores an action's blast radius before execution, generates rollback manifests for high-severance actions, and defends against session-level chaining.

Direction

Active independent work — a direct response to a control-plane gap the industry is now naming in agentic system design.

TenantLens
De facto tech lead · Google GDG × Columbia hackathon
Google ADK Multi-Agent Cloud Run
Problem

NYC tenants facing housing-code violations have no simple way to check a landlord's breaches against live city data.

Decision

Designed the end-to-end architecture — a 3-agent A2A pipeline on Google ADK with locked payload schemas for parallel builds — and built the agent that queries NYC HPD Open Data in real time to detect breaches.

Outcome

Full stack deployed to Google Cloud Run; served as de facto tech lead across a 4-person team.

Ready4Codex
Finalist · OpenAI × Eliza Codex Lab hackathon
CLI Tooling Agentic Readiness
Problem

Teams adopting agentic coding tools have no way to measure whether a repo is structured for an agent to work in safely.

Decision

Built a repo-aware CLI that scores a codebase's agentic readiness, under hackathon time pressure.

Outcome

Finalist among a competitive field at the Codex Lab hackathon.

02

Background

2024 — 2026

MS, Computer Science

New York University

Graduated May 2026, 3.7 GPA. Coursework and independent study leaned into distributed systems and open-source development practice.

2021 — 2024

Software Engineer, Data Platform

Lowe's — Connexio

Joined the platform team as an early engineer on Connexio and was promoted to Software Engineer after two years, owning core ingestion, streaming, and guardrail subsystems as the platform scaled across 50+ teams.

2017 — 2021

B.E., Information Science

New Horizon College of Engineering · VTU

Bangalore, India.

03

Contact

The layer underneath the product is the part I actually enjoy. Let's talk about where that fits on your team.

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