Agentic tool infrastructure
MaterialPilot
A local-first MCP bridge that lets AI agents inspect, create, validate, and export procedural material graphs.
Open ↗I'm Sam Sankar, an AI/ML engineer building practical agent infrastructure, grounded evaluation environments, and research tooling that can be examined end to end.
Virudhunagar, Tamil Nadu, India
AI systems engineering
Open to focused collaborations

01 / SELECTED SYSTEMS
Open-source systems for agentic tooling, model evaluation, and reliable AI delivery—each presented with source evidence.
Agentic tool infrastructure
Open ↗LLM grounding & evaluation
Open ↗Multimodal reasoning
Open ↗Schema-driven application generation
typed MCP tools
node definitions
evaluation examples
datasets
02 / PROFILE

My work connects the experimentation of applied AI with the discipline needed to operate it: typed boundaries, visible evidence, practical deployment paths, and explicit limitations.
The goal is not an impressive demo. It is a system another person can understand, test, and carry forward.
More about the practice ↗03 / CAPABILITY MATRIX
Select a capability to trace how it appears in the published work.
Used in: MaterialPilot · HallucinationGuard
01 / Model engineering
02 / Agentic systems
03 / Infrastructure
04 / Applied AI
04 / EXPERIENCE TRACE
Built open-source AI systems across architecture, fine-tuning, evaluation, deployment, testing, and documentation.
Delivered a bulk certificate-generation application from requirements through testing, debugging, and handoff.
05 / EDUCATION
Computer Science and Engineering
AAA College of Engineering and Technology06 / CERTIFICATION ARCHIVE
Oracle
Oracle
NPTEL
NPTEL
NPTEL
MongoDB University
Intermediate evidence stays visible.
Authority and data stay close to the user.
Systems are documented, testable, and repeatable.
Unknowns are named instead of designed away.
07 / START A CONVERSATION