Pooja Bhatt

AI Engineer

AI / MLAI/ML EngineerAI/MLAvailable for hire
Experience
4+ yrs
Skills
40
Projects
3
Certifications
4

AI Engineer with 4 years of experience in designing, developing, and deploying intelligent applications using Machine Learning, Deep Learning, Generative AI, and Large Language Models. Experienced in building AI-powered automation solutions, NLP applications, recommendation systems, predictive analytics models, prompt engineering, cloud deployment, and MLOps.

Expertise & skills

Programming Languages
PythonSQLJavaScriptBash
Artificial Intelligence
Machine LearningDeep LearningGenerative AILarge Language Models (LLMs)Prompt EngineeringRAGAgentic AINatural Language Processing (NLP)
AI Frameworks
LangChainLlamaIndexHugging Face TransformersTensorFlowPyTorchScikit-learnFastAPIFlask
Vector Databases
PineconeFAISSChromaDB
Large Language Models
OpenAI GPT-4ClaudeLlama 3Mistral
Cloud Platforms
AWSMicrosoft Azure AI Studio
Databases
PostgreSQLMongoDBRedis
DevOps & MLOps
DockerGitGitHub ActionsMLflowDVC
Data Visualization
Power BIMatplotlibPlotly

Selected projects

Enterprise AI Knowledge Assistant

PythonLangChainOpenAI GPT-4PineconeFastAPIAWS

Designed and developed an enterprise AI assistant using RAG for organizational documents.

Intelligent Resume Screening Platform

PythonSpaCySentence TransformersPostgreSQL

Built an AI recruitment solution for resume parsing, skill extraction, ranking, and recommendations.

Customer Support AI Chatbot

OpenAI GPT-4LangChainAzure AI Studio

Built a multilingual chatbot with context-aware conversations and analytics.

Ways of working

Problem SolvingCritical ThinkingCommunicationTeam CollaborationAgile MethodologyAnalytical ThinkingInnovationStakeholder Management

Certifications

  • Microsoft Azure AI Engineer Associate
  • AWS Certified Machine Learning – Specialty
  • Generative AI with Large Language Models
  • Prompt Engineering for Developers

Education

  • Bachelor of Engineering (Computer Engineering)

Achievements

  • Reduced customer support workload by 45% through AI automation.
  • Improved chatbot response accuracy by 38%.
  • Developed reusable AI components reducing development effort by 30%.
  • Delivered 12+ AI solutions across healthcare, finance, and retail.
  • Improved AI model inference performance by 40%.

Similar engineers

Other AI / ML engineers with comparable experience.

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