Devansh Kulkarni

Artificial Intelligence Engineer

AI / MLSenior AI/ML EngineerAI/MLAvailable for hire
Experience
8+ yrs
Skills
44
Projects
4
Certifications
5

Artificial Intelligence Engineer with 8 years of experience building enterprise AI, Generative AI, and Machine Learning solutions across BFSI, healthcare, retail, telecommunications, and logistics. Experienced in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Natural Language Processing, Computer Vision, predictive analytics, and MLOps for production-scale AI systems.

Expertise & skills

Artificial Intelligence
Machine LearningDeep LearningGenerative AIAgentic AILarge Language Models (LLMs)Prompt EngineeringRAGAI Automation
AI Frameworks
LangChainLangGraphLlamaIndexCrewAISemantic Kernel
Machine Learning
TensorFlowPyTorchScikit-learnHugging Face TransformersXGBoostLightGBM
Natural Language Processing
BERTRoBERTaT5spaCySentence Transformers
Computer Vision
OpenCVYOLOv8Detectron2EasyOCR
Programming Languages
PythonSQLJavaScript
Databases
PostgreSQLMongoDBRedisPineconeWeaviate
Cloud & DevOps
AWSMicrosoft AzureDockerKubernetesMLflowApache AirflowFastAPIGitHub Actions

Selected projects

Technologies: LangChain, GPT-4, Pinecone, FastAPI

  • Developed an AI assistant to streamline loan eligibility assessment.
  • Implemented RAG using banking policies and lending guidelines.
  • Generated explainable credit recommendations for loan officers.
  • Integrated workflows with enterprise banking systems.
  • Reduced manual loan review time significantly.

Technologies: TensorFlow, Python, AWS, PostgreSQL

  • Built demand forecasting models for multi-store retail operations.
  • Predicted seasonal sales trends using time-series analytics.
  • Automated inventory planning recommendations.
  • Improved forecast accuracy through deep learning.
  • Reduced stock shortages and excess inventory.

Technologies: PyTorch, MongoDB, Azure

  • Developed churn prediction and customer segmentation models.
  • Created personalized retention recommendations using AI.
  • Automated customer behavior analysis pipelines.
  • Improved retention campaign effectiveness.
  • Delivered interactive analytics dashboards.

Technologies: LlamaIndex, LangGraph, ChromaDB, OCR

  • Automated contract review and clause extraction.
  • Built semantic search across legal documents.
  • Generated AI-powered compliance summaries.
  • Integrated OCR for scanned agreement processing.
  • Reduced legal document review effort.

Certifications

  • AWS Certified Machine Learning – Specialty
  • Microsoft Certified: Azure AI Engineer Associate
  • Google Professional Machine Learning Engineer
  • IBM AI Engineering Professional Certificate
  • Generative AI with Large Language Models

Education

  • Bachelor of Technology (B.Tech) in Computer Science & Engineering

    Chandigarh University

    2018

Achievements

  • Delivered 30+ enterprise AI and Machine Learning solutions.
  • Designed scalable Generative AI and Agentic AI platforms for enterprise automation.
  • Built production-ready Retrieval-Augmented Generation (RAG) applications.
  • Implemented cloud-native AI deployments using AWS, Azure, Docker, and Kubernetes.
  • Enhanced AI model performance through MLOps and prompt engineering.
  • Mentored AI teams and established enterprise AI development standards.

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