AI Engineer with 4 years of experience designing and deploying enterprise AI solutions using Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and machine learning. Skilled in Python, LangGraph, CrewAI, LlamaIndex, FastAPI, Google Vertex AI, vector databases, and cloud-native architectures.
Expertise & skills
Core Skills
ProgrammingPythonSQLAgentic AILangGraphCrewAITool CallingWorkflow OrchestrationGenerative AIGoogle Vertex AIGeminiLlamaIndexPrompt EngineeringRAGAI/MLScikit-learnTensorFlowNLPModel EvaluationBackendFastAPIFlaskREST APIsVector DatabasesQdrantWeaviateCloudGoogle CloudDockerGitDatabasesPostgreSQLMongoDBRedis
Selected projects
Healthcare Diagnosis Assistant
PythonVertex AILangGraphQdrant
Key Responsibilities
- Developed a multi-agent assistant for clinical knowledge retrieval.
- Implemented RAG over medical guidelines.
- Built secure FastAPI services.
- Optimized prompt workflows for higher accuracy.
Core competencies
Agentic AI Solution DevelopmentLLM Application DesignAnalytical ThinkingProblem SolvingCloud DeploymentCross-functional Collaboration
Certifications
- Google Cloud Professional Machine Learning Engineer
- Generative AI with Large Language Models
- LangGraph for Agentic AI Applications
Education
Bachelor of Engineering (B.E.) in Computer Science and Engineering
Marwadi University
- 2021
Graduation Year:
Achievements
- Reduced information retrieval time by 60%.
- Improved clinical decision support.
- Fraud Detection Intelligence Platform
- Technologies: Python, TensorFlow, PostgreSQL
- Key Responsibilities
- Built anomaly detection models.
- Created automated fraud scoring APIs.
- Integrated real-time monitoring dashboards.
- Improved fraud detection efficiency.
- Reduced manual investigation effort.
- Enterprise Compliance Copilot
- Technologies: Python, CrewAI, Weaviate
- Developed AI agents for policy compliance checks.
- Implemented semantic document search.
- Automated compliance reporting.
- Reduced compliance review time by 55%.
- AI Learning Assistant
- Technologies: Python, Gemini, LlamaIndex
- Built personalized learning recommendations.
- Generated content summaries and quizzes.
- Integrated LMS APIs.
- Enhanced learner engagement.
- Reduced content preparation time.
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