Maarij Siddiqui

• Led end-to-end delivery of an AI customer support chatbot — managing requirements, architecture, QA, Freshdesk integration, and client stakeholder meetings.
• Built RAG pipeline using LangChain, Flowise, and OpenAI API with vector databases, reducing support ticket resolution time.
• Deployed FastAPI-based AI agents and optimized existing APIs, improving system performance and real-time user interaction latency.

• Developed and customized ERP solutions using the Frappe framework, with extensive Python and JavaScript scripting for client-specific business logic.
• Built UI components using AJAX and Jinja templates, improving user experience across multiple enterprise modules.
• Designed and implemented real-time data synchronization using Socket.io, significantly improving system responsiveness.

• Reviewed and validated datasets for accuracy, consistency, and adherence to defined data standards.
• Parsed and extracted structured data from documents, databases, spreadsheets, and web sources.
• Identified and corrected data inconsistencies, formatting issues, and duplicate entries across large datasets.

Developed RESTful APIs using ASP.NET Core and Entity Framework for client-facing web applications.
Implemented and maintained JavaScript-based UI components, improving front-end performance and usability.
Collaborated with cross-functional teams to deliver full-stack features from design through to deployment.