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Kumari Surya RemananKS

Kumari Surya Remanan

AI/ML Engineer

€500/day
Pune, IN
3-7 years

Average response time: 1 hour

About Kumari Surya

As an AI engineer, I work with startups, SMEs, and technical teams to design and build AI-powered systems using LLMs, AI agents, computer vision, RAG, automation, and backend APIs. I can help you move from an early idea to a working MVP, from a manual workflow to an AI agent, or from scattered data to an intelligent dashboard.
  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Yinovise,
    AI/ML Engineer
    October 2024 - Today (1 year and 10 months)
    • • Responsible for executing client work related to AI/ML and ensuring client satisfaction
    • • Mostly worked with computer vision, LLMs, and other generative AI use cases
    • • Skilled in Python programming language.
    LLM Python artificial intelligence MLOps Machine learning
  • E2E Networks Ltd.,
    AI Evangelist & Developer Relations Manager
    August 2023 - June 2024 (10 months)
    Bengaluru, Karnataka, India
    • • Evangelized open–source generative AI stacks (Falcon–40B, Mistral-7B, Stable Diffusion) to 300+ enterprise clients, driving a 28% increase in GPU cloud revenue.
    • • Produced technical tutorials and workshops enabling sales engineers to design right-sized GPU clusters for fine-tuning workloads.
    artificial intelligence Back-End development Python MLOps Machine learning
  • AI/ML Centelon IT Solutions,
    Associate Consultant –
    February 2019 - August 2023 (4 years and 6 months)
    Bengaluru, Karnataka, India
    • • Delivered AI capabilities (CV, NLP, forecasting) across banking and insurance products; spearheaded 11 projects from PoC to production.
    • • Implemented a multilingual document-classification pipeline, reducing manual processing effort by 70%.
    LLM Computer Vision artificial intelligence AI Automation Python

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Education

  • B.C.A.
    Bangalore University
    2022
    B.C.A.
  • PGP in Big Data Analytics & Optimisation, INSOFE
    (CMU–LTI
    PGP in Big Data Analytics & Optimisation, INSOFE

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