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Jai Vadula

@jaivadula

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AI Engineer Intern at Danfoss building secure RAG assistants and cutting Power BI refreshes by 98%.

India

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What I'm looking for

I’m looking to apply my AI skills and creativity to developing state-of-the-art AI solutions within a dynamic team setting.

At Danfoss Industries Pvt Ltd, I developed an offline RAG-based assistant for an embedded C firmware codebase, supporting context-grounded code retrieval and generation in a secure, internal-only environment. I also fine-tuned a domain-adapted model with LoRA on firmware-specific data.

I built a FastAPI microservice to send Playwright test reports from Azure DevOps CI/CD pipelines to stakeholders by email. I also operationalized engineering metrics across Power BI dashboards used by 9 teams.

At Danfoss, I moved Power BI data extraction from OData to REST API batch processing, reducing refresh time from over 3 hours to under 2 minutes. The reporting interface helped stakeholders review monthly results for 9 teams.

In my projects, I developed DBPal, a natural-language interface for querying MySQL and PostgreSQL, and MediVoxAI, a multimodal healthcare assistant with voice processing. I also built GuestGazer, an MLOps pipeline for hotel cancellation prediction and deployment.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer Intern

Current

Danfoss Industries Pvt Ltd

Oct 2025 - Present (1 year)

Developed an offline RAG-based AI assistant for embedded C firmware codebase and fine-tuned a domain-adapted model using LoRA. Built a FastAPI microservice for automated test report delivery and designed Azure DevOps analytics with Power BI dashboards.

Python Lang Chain Hugging Face TensorFlow LLM LoRAs fastAPI Playwright Azure DevOps WIQL REST APIs Power BI Docker MLOps

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology

Integrated Masters of Technology, Computer Science and Engineering

2021 -

Grade: 8.86/10

Pursuing an Integrated Masters of Technology in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning, maintaining a CGPA of 8.86/10.