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AI agent engineering work from a career explorer

I completed the Wayfair n8n AI Agent Engineering externship and I am exploring a career change into AI tooling and agent workflows.

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Work samples

Portfolio items show work from the Wayfair n8n AI Agent Engineering externship, focused on AI agents, n8n workflows, and practical engineering tasks completed during the program.

  • QueryPilot AI | Retail Analytics Copilot | github.com/fmahtab/querypilot-ai
    QueryPilot AI | Retail Analytics Copilot | github.com/fmahtab/querypilot-ai

    Built a business analytics copilot that answers natural-language questions using business documentation. Implemented a RAG workflow that retrieves relevant context and generates grounded answers with source attribution. Added short-term session memory for conversational continuity and durable memory for retaining relevant context across sessions. Developed the FastAPI service, /ask request and response schemas, PostgreSQL data layer, SQLAlchemy models, and Alembic migrations. Built an evaluation suite covering request routing, retrieval quality, groundedness, source attribution, questions requiring database access, and unsupported-query handling.

    PythonFastAPIPostgreSQLSQLAlchemyOpenAI APIRAGDocker
  • CareerPilot | AI-Powered Job Application Platform | github.com/fmahtab/career-pilot
    CareerPilot | AI-Powered Job Application Platform | github.com/fmahtab/career-pilot

    Built secure REST APIs for user authentication, resume management, job applications, resume-to-job matching, AI cover-letter generation, and structured resume review. Parsed PDF and DOCX resumes and validated structured Claude-generated outputs with Pydantic, including ATS score, strengths, missing keywords, priorities, and recommended changes. Implemented user-level authorization, secure file-upload handling, and containerized the application with Docker Compose.

    PythonFastAPIPostgreSQLSQLAlchemyJWTDockerAnthropic Claude API

About me

I completed the Wayfair n8n AI Agent Engineering externship and I am exploring a career change into AI tooling and agent workflows.

I am Fouzia Mahtab. I have started my career and am exploring a change in direction. Recently I completed the Wayfair n8n AI Agent Engineering externship, where I worked on project-based AI engineering tasks with n8n tooling and Wayfair-related briefs.

Externships

Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship

In progress

Experience

Software Engineer

Dealer Inspire / Cars Commerce · Jul 2022 - Apr 2026

Developer II

Nexient (Client: Etsy) · Apr 2021 - Jul 2022

PHP Developer

Digimagination LLC · May 2014 - Mar 2021

Education

RCC Institute of Information Technology | Kolkata | India

Bachelor of Technology (B.Tech.) in Computer Science & Engineering.

Skills

AI agent workflowsn8n toolingWorkflow automationAI engineering fundamentalsProject-based externship experience
Back to work

QueryPilot AI | Retail Analytics Copilot | github.com/fmahtab/querypilot-ai

Built a business analytics copilot that answers natural-language questions using business documentation. Implemented a RAG workflow that retrieves relevant context and generates grounded answers with source attribution. Added short-term session memory for conversational continuity and durable memory for retaining relevant context across sessions. Developed the FastAPI service, /ask request and response schemas, PostgreSQL data layer, SQLAlchemy models, and Alembic migrations. Built an evaluation suite covering request routing, retrieval quality, groundedness, source attribution, questions requiring database access, and unsupported-query handling.

PythonFastAPIPostgreSQLSQLAlchemyOpenAI APIRAGDocker
View all work
Back to work

CareerPilot | AI-Powered Job Application Platform | github.com/fmahtab/career-pilot

Built secure REST APIs for user authentication, resume management, job applications, resume-to-job matching, AI cover-letter generation, and structured resume review. Parsed PDF and DOCX resumes and validated structured Claude-generated outputs with Pydantic, including ATS score, strengths, missing keywords, priorities, and recommended changes. Implemented user-level authorization, secure file-upload handling, and containerized the application with Docker Compose.

PythonFastAPIPostgreSQLSQLAlchemyJWTDockerAnthropic Claude API
View all work
Back to work
Pfizer ↗

✅ Verified by Extern · ⏱️ In progress

Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship

Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.

AI & MLPythonDocument IntelligencePresentation Skills

Overview

The work prototyped an AI-powered document intelligence pipeline for enterprise PDFs, combining OCR, LLMs, and retrieval-augmented generation. The project researched LLM mechanisms, designed extraction and indexing steps, and produced a working prototype that demonstrated automated document querying and data extraction.

Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship

What I've accomplished

I produced a technical summary that explained LLM mechanics (tokenization, next-token prediction, transformer attention) and documented pretraining and domain fine-tuning, including a note on model error modes.

Project breakdown

The submission summarized LLMs, described tokenization and next-token prediction, outlined transformer attention, and explained pretraining plus domain fine-tuning, noting that models can still produce incorrect outputs.

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