Sivashankar Subramaniam

CTO

Chennai, Tamil Nadu, India1 yr 8 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building scalable AI workflow solutions.
  • Achieved 98% accuracy in automotive neural network optimization.
  • Integrated LLMs for advanced engineering applications.
Stackforce AI infers this person is a specialist in Automotive Engineering with a focus on AI and Machine Learning solutions.

Contact

Skills

Core Skills

Large Language Models (llm)MlopsMachine LearningAutomotive Engineering

Other Skills

LangChainLangServeMicrosoft AzureAbaqusiSightLanggraphGroqHuggingfaceOPENAIOllamaTensorFlowNumPyPandasSeabornMatplotlib

Experience

1 yr 8 mos
Total Experience
1 yr 8 mos
Average Tenure
1 yr 8 mos
Current Experience

Microsoft

Lead Engineer - Vendor

Sep 2024Present · 1 yr 8 mos · Chennai, Tamil Nadu, India

  • Buiding an agentic software platform that converts human language into CAE actions, allowing execution of simulations, preprocessing, and postprocessing workflows.
  • Integrated LLMs and task-planning frameworks with engineering APIs to handle multi-step reasoning, code generation, and contextual decision making within simulation environments.
  • Deployed and scaled the system on Microsoft Azure, utilizing containerized architectures for secure, efficient, and distributed performance.
  • Designed custom toolchains and action planners to let the AI dynamically access and utilize CAE functionalities in real time.
  • Collaborated with product and mechanical design teams to align AI capabilities with practical engineering use cases, that essentially transforms the way they work.
LangChainLangServeLarge Language Models (LLM)MLOps

Hcltech

Machine Learning Engineer

Sep 2023Sep 2024 · 1 yr · New Delhi, Delhi, India

  • Was awarded a grant of 7.5 lakh Rupees
  • Performed finite element analysis and generated data on Abaqus. Used novel techniques like
  • inclusion of Isight with Abaqus for data parameterization.
  • Developed, optimized and implemented a neural network algorithm to analyze and optimize the steering knuckle of the automotive system. Achieved an overall accuracy of 98%
  • Created the Inverse Prediction Algorithm for optimal feature prediction
Machine LearningAbaqusiSightAutomotive Engineering

Education

Shiv Nadar University

B.Tech Mechanical Engineering

Jan 2020Jan 2024

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