profile-pic

Ashith Shankar

Generative-AI engineer with 8 years of end-to-end product experience in healthcare. Specializes in LLM-driven agents, retrieval-augmented generation (RAG), NLP, and evaluation frameworks. Adept at turning research ideas into cloud-scale products that cut analyst effort and unlock new revenue.
  • Role

    Generative AI Engineer

  • Years of Experience

    7 years

Skillsets

  • C/C++
  • Scikit-learn - 1 Years
  • SLM - 3 Years
  • Transformers - 2 Years
  • Neural Networks - 2 Years
  • LLMs - 3 Years
  • Test automation
  • Test automation
  • TensorFlow - 2 Years
  • Scikit-learn
  • react
  • FastAPI
  • DICOM
  • LLM - 4.0 Years
  • C#
  • BLAZOR
  • ASP/Net
  • Ansible
  • Rag patterns
  • DevSecOps
  • Python - 4.0 Years
  • NLP - 4.0 Years
  • Transformer based models - 3.0 Years
  • Scikit-learn - 3.0 Years
  • PyTorch - 3.0 Years
  • NLTK - 2.0 Years

Professional Summary

7Years
  • Jul, 2023 - Present2 yr 3 months

    Generative AI Engineer

    Siemens Healthineers
  • Jul, 2019 - Jul, 20234 yr

    Senior Software Developer

    Siemens Healthineers
  • Jul, 2017 - Jul, 20192 yr

    Software Developer

    Siemens Healthineers

Applications & Tools Known

  • icon-tool

    Azure OpenAI

  • icon-tool

    Azure App Services

  • icon-tool

    LangGraph

  • icon-tool

    Autogen

  • icon-tool

    Snowflake

  • icon-tool

    ServiceNow

  • icon-tool

    Docker

  • icon-tool

    Kubernetes

  • icon-tool

    Azure

  • icon-tool

    AWS

  • icon-tool

    GCP

  • icon-tool

    Ansible

  • icon-tool

    Streamlit

  • icon-tool

    Gradio

  • icon-tool

    Jira

  • icon-tool

    Azure DevOps

Work History

7Years

Generative AI Engineer

Siemens Healthineers
Jul, 2023 - Present2 yr 3 months

    Worked extensively on medical terminology processing and DICOM data handling, along with building Q/A

    systems for healthcare applications in compliance and knowledge management.

    Developed cybersecurity knowledge graph/ontology using Stardog with LLM-powered frontend for compliance and

    tool management

    Created advanced RAG-based customer service chatbot enabling contextual retrieval of similar past tickets

    Built GPT-4 powered multilingual translation service incorporating specialized terminology

    Implemented knowledge base assistant for requirements parsing and test case generation using Azure OpenAI and

    Cosmos DB

    Engineered Microsoft Word-integrated contract review system using Azure Prompt flow with legal domain expertise

    Developed AI-powered patent literature analysis system with comprehensive claim evaluation metrics

    Collaborated with legal and IP teams to ensure domain accuracy and demonstrated significant cost savings

    Launched and Led a community hub and provided technical sessions on Generative AI for all teams across the

    organisation - Local LLMs, Quantization, and Transformers

    Designed agent-based architectures and ontologies for multiple enterprise workflows

    Conducted feasibility studies for AI applications in security and log analysis

    Provided technical guidance on generative AI implementation across teams

Senior Software Developer

Siemens Healthineers
Jul, 2019 - Jul, 20234 yr
    Modernized DICOM ID simulator, introduced Ansible-based CI/CD, built NLP tools for imaging QA and threat modeling.

Software Developer

Siemens Healthineers
Jul, 2017 - Jul, 20192 yr
    Authored reusable test-automation framework, developed security-hardening scripts.

Achievements

  • Founded internal Generative-AI Guild
  • Delivered 12 technical talks

Education

  • B.Tech., Electronics & Instrumentation

    SRM Institute of Science and Technology, Chennai (2017)