ASHISH VAJRAPU
Hyderabad
Summary
Passionate and highly skilled Analytics Engineer with 3 years of expertise in implementing cutting-edge Generative AI solutions across Microsoft's ecosystem. Specializing in architecting innovative Large Language Model (LLM) applications, excelling at creating agentic retrieval-augmented generation systems with conversational AI interfaces that revolutionize business intelligence capabilities. Strength lies in designing and deploying autonomous AI agents that streamline workflows, automate decision processes, and enhance data exploration. Leveraging deep knowledge of Azure AI services and Power Platform integration to deliver production-ready generative AI solutions. Proven track record of translating complex data into actionable insights through agent-assisted and AI-enhanced analytics tools. Recognized for technical creativity in prompt engineering, multi-agent architectures, RAG implementation, and the ability to seamlessly integrate Power BI with Microsoft Power Platform to streamline workflows and enhance business intelligence.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Analytics Engineer
SNP Cloud Technologies
06.2022 - Current
- Experienced in Developing Various Agents using Autogen, CrewAI, Azure Logic Apps, Event Hubs, Streamlit, FastAPI, and Azure Function Apps
- Experienced in evaluating llm results using various evaluation methodology frameworks such as DeepEval, Trulens RAG Triad, Weight's and biases
- Expertise in pre-processing using Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, Copilot Studio, Bot Framework Composer, Azure AI Search, and various LLM frameworks
- Experienced in building solution's with various frameworks such LangChain, Hugging Face and LlamaIndex
- Proficient with Neo4j, Microsoft Graph RAG, BGE and Semantic re-rankers for knowledge graph applications
- Experienced with Databricks, Delta Lake, Azure Document Intelligence, and Azure Event Grid implementation
- Skilled in IoT technologies including Azure IoT Hub for data collection and processing
- Advanced implementation of Microsoft Graph API, and custom Python/PowerShell automation tools
- Specialized in Power BI dashboard creation, optimization, and monitoring solutions
Education
B.Tech - Computer Science
Vellore Institute of Technologies
Vellore06.2022
Skills
Cloud Platforms
• AWS: Implemented scalable cloud solutions utilizing Amazon's comprehensive service ecosystem.
• Azure: Expertise across Databricks, Data Factory, Azure AI Services, DevOps, Logic Apps, Event Hubs, Synapse Analytics, Fabric and Function Apps.
Programming & Frameworks
• Languages: Proficient in Python, Pyspark, C#, SQL, and PostgreSQL development.
• Frameworks: Experienced with LangChain, LlamaIndex, Streamlit, Bot Framework Services, Copilot Studio, and Power Apps.
Generative AI
• LLM Frameworks: Implemented solutions using LangChain, GraphRAG, LlamaIndex, PEFT, and Instruction Fine-Tuning.
• MLOps/LLMOps: Established robust machine learning operations pipelines for model deployment.
• Microsoft 365 Copilot: Developed custom plugins enhancing enterprise productivity and automation.
• Graph/Agent Technologies: Built knowledge systems using Microsoft GraphRAG, Neo4j GraphRAG, and built agents with the Autogen, and Autogen Studio.
Data Analytics & Visualization
• Power BI: Advanced reporting with Paginated Reports and performance optimization using DAX Studio and other technologies.
• SQL Server: Database management and analysis using SSRS and SSAS.
• KQL: Query expertise in Kusto Query Language for log and data analytics.
Automation & Integration
• Designed end-to-end automation workflows using Power Automate, Azure Logic Apps, Graph API, and Azure Function Apps.
Certification
- Microsoft Certified: Power BI Data Analyst
- Associate Microsoft Certified: Azure Data Engineer
- Microsoft Certified: Azure AI Engineer Associate
- Associate Microsoft Certified: Azure AI Fundamentals
Timeline
Analytics Engineer
SNP Cloud Technologies
06.2022 - Current
B.Tech - Computer Science
Vellore Institute of Technologies
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