Aditya Gupta

Senior Technical Product Manager at Sdverse

Farmington Hills, US

Joined Jan 2026

About

Aditya Gupta is a Senior Technical Product Manager working on AI-enabled platforms and scalable backend systems. He has led semantic search, AI-assisted ingestion, and workflow automation initiatives across enterprise payments infrastructure and B2B marketplace environments. He works closely with engineering teams to design reliable, API-driven systems that support real-world operational demands. He holds dual graduate degrees in Business Administration and Management Information Systems from the University of Pittsburgh.

Stats

Reputation:	416
Pageviews:	16.2K
Articles:	6
Comments:	0

Articles

Articles

Designing Production-Grade AI Tools: Why Architecture Matters More Than Models

Many AI tools fail in production not because of model quality, but due to architectural decisions around retries, cost control, observability, and multi-tenant safety.

March 31, 2026

· 1,797 Views · 1 Like

Isolation Boundaries in Multi-Tenant AI Systems: Architecture Is the Only Real Guardrail

In multi-tenant AI systems, true isolation needs structural boundaries across storage, vector namespaces, execution, and queue layers to survive retries and concurrency.

March 26, 2026

· 2,474 Views

Observability in AI Pipelines: Why “The System Is Up” Means Nothing

AI systems can be fully “up” yet behave unpredictably, expensively, or incorrectly. Observability must track job state, retries, token usage, and cost.

March 17, 2026

· 3,806 Views · 1 Like

Cost Control in AI Systems Is an Architectural Problem

In AI systems, rising costs are often architectural, not pricing. Retries, latency, and duplicate work multiply usage. Idempotency and boundaries control cost.

March 12, 2026

· 2,984 Views

Failure Handling in AI Pipelines: Designing Retries Without Creating Chaos

AI systems require disciplined retry strategies. By applying bounded backoff policies, teams can prevent retry storms and control cost amplification.

March 6, 2026

· 2,802 Views

Idempotency in AI Tools: The Most Expensive Thing Teams Forget

An analysis of how retries cause duplicate inference in AI tools and how idempotency keeps production systems predictable and cost-controlled.

March 2, 2026

· 2,371 Views · 1 Like