Naveen Patel

AI Engineer

AI / MLSenior AI/ML EngineerAI/MLAvailable for hire
Experience
6+ yrs
Skills
65
Projects
4
Certifications
5

AI Engineer with 6 years of experience designing and delivering intelligent AI solutions using Machine Learning, Deep Learning, Natural Language Processing, Generative AI, and Large Language Models. Skilled in building AI-powered applications, implementing Retrieval-Augmented Generation (RAG), developing AI agents, fine-tuning transformer models, and deploying scalable AI systems. Strong experience in Python, LangChain, LangGraph, Hugging Face, Vector Databases, and cloud-based AI solutions. Passionate about creating production-ready AI applications that improve automation, decision-making, and operational efficiency.

Expertise & skills

Programming Languages
PythonSQLJavaScript
Artificial Intelligence
Machine LearningDeep LearningGenerative AINLPComputer VisionPrompt EngineeringPredictive AnalyticsReinforcement Learning
Large Language Models
OpenAI GPT-4Llama 2Llama 3ClaudeGeminiMistral
AI Frameworks & Libraries
LangChainLangGraphLlamaIndexHugging Face TransformersTensorFlowPyTorchKerasScikit-learn
Vector Databases
PineconeChromaDBFAISSWeaviate
AI & MLOps Tools
OpenAI APIAzure OpenAIMLflowOllamaWeights & Biases
Data Processing
PandasNumPyPySparkApache Spark
Backend Development
FastAPIFlaskREST APIs
Databases
PostgreSQLMongoDBMySQL
Cloud Platforms
AWSMicrosoft Azure
DevOps & Deployment
DockerKubernetesGitGitHub ActionsJenkins
Core Skills
AI Solution DevelopmentLarge Language Models (LLMs)RAGAI Agent DevelopmentPrompt EngineeringSemantic SearchVector EmbeddingsFine-tuning Transformer ModelsAI Chatbot DevelopmentIntelligent Document ProcessingModel Evaluation & OptimizationAI Workflow AutomationData EngineeringModel DeploymentMLOps

Selected projects

Enterprise Knowledge Management AI Assistant

PythonLangChainOpenAI GPT-4PineconeFastAPIAWS

Developed an enterprise AI assistant capable of retrieving information from thousands of business documents using Retrieval-Augmented Generation (RAG).

  • Designed document ingestion and preprocessing pipelines
  • Developed semantic search using vector embeddings
  • Implemented RAG architecture
  • Built prompt templates
  • Integrated OpenAI APIs
  • Optimized latency
  • Deployed using Docker and AWS.

AI-Powered Invoice Intelligence Platform

PythonOCRTensorFlowHugging FaceFastAPI

Built an intelligent invoice processing solution using OCR and NLP.

  • Developed document classification
  • Built OCR workflows
  • Implemented NER
  • Automated validation
  • Improved extraction accuracy
  • Developed REST APIs.

Multi-Agent Customer Support Assistant

LangGraphOpenAI GPT-4Azure OpenAIFastAPI

Developed a multi-agent conversational AI system.

  • Designed agent workflows
  • Built conversation memory
  • Integrated CRM APIs
  • Prompt engineering
  • Evaluation pipelines
  • Improved response quality.

Intelligent Product Recommendation Engine

PythonTensorFlowPySparkAWS

Developed a personalized recommendation engine.

  • Built algorithms
  • Processed datasets
  • Trained models
  • Optimized accuracy
  • Built batch inference
  • Automated recommendations.

Core competencies

AI Solution DevelopmentLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)AI Agent DevelopmentPrompt EngineeringSemantic SearchVector EmbeddingsFine-tuning Transformer ModelsAI Chatbot DevelopmentIntelligent Document ProcessingModel Evaluation & OptimizationAI Workflow AutomationData EngineeringModel DeploymentMLOps

Certifications

  • Microsoft Certified: Azure AI Engineer Associate
  • AWS Certified Machine Learning – Specialty
  • TensorFlow Developer Certificate
  • Generative AI with Large Language Models
  • LangChain for LLM Application Development

Education

  • Bachelor of Engineering (Computer Engineering)

    Gujarat Technological University

Achievements

  • Successfully delivered 15+ enterprise AI applications.
  • Reduced document processing time by over 70% using AI automation.
  • Improved AI chatbot response accuracy by 35%.
  • Optimized inference performance, reducing response latency by 40%.
  • Built scalable Retrieval-Augmented Generation solutions.
  • Developed AI workflows that automated multiple manual business processes.

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