Devansh Palliyath

About Devansh Palliyath

I am a Machine Learning Engineer at Quantiphi specializing in Generative AI, LLMs, RAG systems, and NLP. My work focuses on building real-world AI applications using Google Gemini, Vertex AI, OpenAI, and AWS Sagemaker for enterprise-scale use cases.I have hands-on experience designing and deploying end-to-end ML pipelines—from experimentation to production—using cloud-native tools across GCP and AWS. I have also contributed to intelligent automation and document AI use cases involving complex data extraction and retrieval.What I do best:Build and optimize LLM applications (QnA systems, chatbots, document intelligence, RAG)Design retrieval pipelines, vector stores, embedding workflowsImplement cloud ML pipelines (Vertex AI, Sagemaker)Work with prompt engineering, evaluation & guardrailsDeploy scalable, production-ready AI systemsIntegrate Gemini / GPT / Claude APIs for enterprise useCertifications:Google Cloud Generative AI Leader| AWS Machine Learning Specialist | GCP Associate Cloud EngineerI’m open to exploring opportunities as a Machine Learning Engineer, NLP Engineer, or Generative AI Engineer in global teams (India/US/Europe/Remote).

Experience

1. Machine Learning Engineer

   Quantiphi

   Jan 2023 — Present · Mumbai, IN

   Developed and deployed Generative AI applications using LLMs, RAG pipelines, and NLP workflows for enterprise clients- Integrated and optimized Google Gemini APIs for intelligent document processing and information extraction- Built scalable ML pipelines using GCP Vertex AI, including model training, evaluation, deployment, and monitoring- Designed retrieval-augmented generation (RAG) systems using vector databases and embedding models for improved accuracy and response quality- Collaborated with cross-functional teams to deliver end-to-end ML solutions, from requirement gathering to production rollout- Applied prompt engineering techniques for reliability, consistency, and lower hallucination rates in LLM responses- Improved model inference speed/performance through optimization, batching, and API-level improvements- Worked on automation for unstructured document workflows (OCR, entity extraction, summarization).

Education

• Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai

  Bachelor's degree, electroni

  2019 — 2023