VISHAKHA CHAUDHARY
VISHAKHA CHAUDHARY

AI Engineer

Open to offers · Member since 11 Nov 2026
Location
Ghaziabad, India
Desired salary
Unspecified
Work preference
Remote Only
Experience level
Junior

About

Professional summary

I am an AI Engineer with a B.Tech in Information Technology and hands-on experience in Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), machine learning, and enterprise integrations.

I have delivered a production UAE e-invoicing integration as the sole developer, designing and implementing secure workflows that connect business systems, an Accredited Service Provider, the Peppol network, and the UAE Federal Tax Authority.

My technical strengths include Python, JavaScript, REST APIs, Azure Logic Apps, Azure Blob Storage, Azure SQL Database, Azure Service Bus, and the MERN stack. I enjoy building reliable automation with validation, retries, status tracking, and error handling.

I have also developed AI projects such as a RAG-based PDF question-answering system using ChromaDB and Google Gemini API, as well as a full-stack job portal application using MongoDB, Express.js, React.js, and Node.js.

I am a Claude Certified Architect and continuously expand my expertise in AI systems, cloud platforms, data science, and software engineering. I am interested in opportunities where I can build practical, scalable AI and automation solutions.

Skills

22 capabilities

Tech stack & tools

Working toolkit

Application Hosting

Application Utilities

Data Stores

Development

Languages & Frameworks

Libraries

Experience

Career history

AI Engineer Waves Computer Supplies

I serve as the sole developer for the UAE E-Invoicing 5-Corner Model project, acting as API Integrator and owning the solution from architecture and design through production go-live.

I built secure integration workflows between Waves, the Accredited Service Provider, the Peppol network, and the UAE Federal Tax Authority. The solution uses Azure Logic Apps, Azure Blob Storage, Azure SQL Database, and Azure Service Bus.

I automated invoice validation, retries, status tracking, and error handling, reducing manual effort across invoice submission, technical recovery, and tracking processes by an estimated 70–90%. The live production implementation supports UAE e-invoicing compliance.

AI Intern Rinex Technology

Built and evaluated machine learning mini-projects using Python and Scikit-learn, applying data preprocessing and feature engineering to improve model performance.

Developed and deployed a Movie Recommendation System using collaborative and content-based filtering. Used Python, Pandas, NumPy, Scikit-learn, and Flask to build and serve the recommendation model.

Education

Learning history

I.M.S Engineering College, Ghaziabad

Bachelor of Technology, Information Technology

B.Tech in Information Technology with a CGPA of 8.67. Branch Topper for the 2022–2026 session and Star Performer in the second-year odd semester of 2023–24.

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