SAHIL ROY — Project Manager

Work has focused on taking high‑performance computing projects from site readiness to acceptance so institutes receive clusters that go live on time, benchmark honestly, and are straightforward for administrators to run. That trust has been earned by staying close to delivery -coordinating readiness and logistics, overseeing racking and bring‑up, validating performance with clear acceptance criteria, training stakeholders, and leaving behind documentation people actually use. Recent responsibilities include commissioning Rudra‑based facilities under the National Supercomputing Mission, bridging planning, HPL validation, and handover so institutional teams start strong on day one. Across these projects, the emphasis remains practical: align performance claims with measured outcomes and ensure the solution is sustainable for the people who will operate it in production. Peers and managers tend to involve this role in delivery‑critical phases for a straightforward reason: attention stays on what unblocks acceptance , aligning stakeholders, tightening criteria, turning repeat fixes into checklists, and translating complex tuning into steps others can reproduce. The aim is to reduce rework and surprises by defining what “ready” means, verifying it with reproducible steps, and sharing the knowledge that keeps systems healthy after handover. This track record reflects tangible outcomes across sites NSM deployments completed through to acceptance, HPL tuning delivered with verifiable improvements, and post‑go‑live support that shortens time‑to‑resolution and increases operator confidence. The through‑line is steady and simple: keep performance honest, document what matters, and leave teams better equipped than before. Alongside delivery, workshops and community sessions help demystify HPC operations so administrators and students see how scheduling, storage, and provisioning fit—and how to troubleshoot them. When systems become understandable machines, reliability and ownership improve across the board.

Stackforce AI infers this person is a High Performance Computing specialist with a focus on operational readiness and performance validation.

Location: Pune, Maharashtra, India

Experience: 6 yrs 1 mo