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Aj Johri

@ajjohri

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AI Ops Engineer at Truverizen AI who deployed 10+ enterprise LLM agents across seven business use cases.

India

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At Truverizen AI, I designed, built, and deployed 10+ domain-specific LLM agents across seven business use cases, including invoice processing, contract review, sales reporting, and regulatory monitoring. I also automated document workflows with Power Automate, Dataverse, SharePoint, and Outlook.

I built synthetic test datasets to evaluate prompts and agent behaviour, and delivered AI-generated management reports and KPI dashboards using AI agents and Power BI. In my Enterprise Intelligence Platform project, I built an Agentic RAG system with hybrid retrieval, source citations, and answer verification.

Experience

Work history, roles, and key accomplishments

Current

AI Ops Engineer

Current

Truverizen AI

Oct 2025 - Present (1 year 1 month)

Designed, built, and deployed 10+ domain-specific LLM agents across 7 business use cases using Azure AI Foundry and Microsoft Copilot Studio. Automated document workflows with Power Automate, Dataverse, SharePoint, and Outlook, and delivered AI-generated management reports and KPI dashboards.

Azure AI Foundry Microsoft Copilot Studio Power Automate Dataverse SharePoint Outlook REST APIs MCP Dynamics 365 Sales Power BI LLM Agents Prompt Engineering LLMOps

Data Science and Machine Learning Intern

Numeric Infotech

Aug 2024 - Apr 2025 (8 months)

Built regression, classification, and clustering models using Python, Pandas, NumPy, and Scikit-learn on real-world datasets. Performed data cleaning, preprocessing, and exploratory data analysis, and applied feature engineering and model evaluation.

Python Pandas NumPy scikit learn regression Classification Clustering Feature Engineering Model Evaluation EDA

Education

Degrees, certifications, and relevant coursework

Institute of Technology and Management, Gwalior

Bachelor of Technology (B.Tech), Computer Science and Engineering (Artificial Intelligence and Machine Learning)

2022 - 2026

Grade: CGPA: 7.22

Pursuing a Bachelor of Technology in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning, achieving a CGPA of 7.22.