Rahul Verma

AI Engineer Resume

Generative AIGenerative AI EngineerAgentic AIAvailable for hire
Experience
4+ yrs
Skills
32
Projects
2
Certifications
3

AI Engineer with 4 years of experience building enterprise AI applications using Large Language Models, Agentic AI, Retrieval-Augmented Generation (RAG), and machine learning. Experienced in Python, LangChain, LlamaIndex, CrewAI, FastAPI, AWS Bedrock, Docker, and scalable cloud deployments.

Expertise & skills

Core Skills
ProgrammingPythonSQLAgentic AICrewAILangChain AgentsWorkflow AutomationTool CallingGenerative AIAWS BedrockClaudeLlamaIndexPrompt EngineeringRAGAI/MLScikit-learnPyTorchNLPBackendFastAPIREST APIsVector DatabasesPineconeMilvusCloudAWSDockerGitDatabasesPostgreSQLMongoDBRedis

Selected projects

Enterprise Procurement Copilot

PythonAWS BedrockLlamaIndexPinecone

Key Responsibilities

  • Developed AI assistant for procurement teams.
  • Implemented semantic search over vendor documents.
  • Built FastAPI microservices.
  • Integrated approval workflows.

Core competencies

Agentic AI DevelopmentLLM Application DevelopmentAI Solution DesignProblem SolvingCloud DeploymentTeam Collaboration

Certifications

  • AWS Certified AI Practitioner
  • Generative AI with Foundation Models
  • Prompt Engineering for LLM Applications

Education

  • Bachelor of Technology (B.Tech) in Information Technology

    Silver Oak University

  • Graduation Year:

    2021

Achievements

  • Reduced procurement document lookup time by 72%.
  • Improved procurement team productivity.
  • AI Invoice Processing Platform
  • Technologies: Python, OCR, FastAPI, PostgreSQL
  • Key Responsibilities
  • Automated invoice extraction and validation.
  • Integrated OCR with LLM-based verification.
  • Built reporting APIs.
  • Reduced manual processing effort by 80%.
  • Improved data extraction accuracy.
  • IT Service Desk AI Assistant
  • Technologies: Python, CrewAI, LangChain
  • Created multi-agent support workflows.
  • Automated ticket classification and resolution suggestions.
  • Integrated enterprise knowledge base.
  • Reduced first-response time by 58%.
  • Improved support efficiency.
  • Marketing Content Generation Platform
  • Technologies: Python, Claude, AWS Bedrock
  • Built AI content generation workflows.
  • Implemented campaign content templates.
  • Developed REST APIs for CMS integration.
  • Reduced content creation time by 65%.
  • Improved marketing productivity.

Similar engineers

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