Parshant Sharma

Machine Learning Engineer

India2 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI compilers and performance optimization.
Contributed to next-gen PyTorch compiler improvements.
Gold Medalist in Artificial Intelligence and Machine Learning.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI compilers and deep learning technologies.

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Skills

Core Skills

Machine LearningAi Compilers

Other Skills

PyTorchPerformance optimizationGraph transformationExport workflowsCompiler passesIR transformationsCompiler improvementsRuntime optimizationsDeep Learning compilersTensorFlowC++MLOpsLLVMMLIRLarge Language Models (LLM)

Experience

2 yrs 9 mos

Total Experience

2 yrs

Average Tenure

9 mos

Current Experience

Red hat

2 roles

Machine Learning Engineer

Promoted

Apr 2026 – Present · 1 mo

Associate Machine Learning Engineer

Aug 2025 – Apr 2026 · 8 mos

Contributing to core compiler and graph capture infrastructure within the PyTorch, with a focus on performance optimization, graph transformation, and export workflows
Working on TorchDynamo and torch.compile to improve graph capture, tracing stability, backend integrations, and execution efficiency.
Enhancing the Export API for stable graph serialization and deployment across diverse runtimes and accelerators.
Contributing to compiler passes, IR transformations, across the PyTorch stack.
Debugging and resolving edge cases in graph breaks, dynamic shapes, and operator lowering.
Additionally, contributing to the PyTorch Helion project, focusing on next-generation compiler/runtime improvements aimed at scalable, high-performance model execution.

PyTorchPerformance optimizationGraph transformationExport workflowsCompiler passesIR transformations+2