Currently an Extern @Pfizer

Aspiring AI Agent Developer

I create intelligent agents that automate insights and decisions, shaping the future of work in diverse industries.

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Work samples

Discover my work in AI agent development, showcasing projects that leverage intelligent automation in various fields.

Wayfair AI Agent Engineering for Business Intelligence Externship
Wayfair · Jun 2026 · ✅ Verified by Extern
Wayfair AI Agent Engineering for Business Intelligence Externship
Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.
Top performerAI Workflow DesignAI Agent DevelopmentWeb Scraping & Data ExtractionPresentation Skills
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
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

About me

I create intelligent agents that automate insights and decisions, shaping the future of work in diverse industries.

I'm an aspiring AI Agent Developer with hands-on experience in building intelligent workflows. Currently, I'm enhancing my skills through an externship at Pfizer, where I focus on AI-powered document insights and data extraction. My journey into AI is driven by a passion for leveraging technology to automate decision-making and improve productivity across various industries.

Externships

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

Pfizer

Skills

AI Agent DevelopmentData ExtractionWorkflow AutomationDocument Insightsn8n

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Wayfair · Jun 2026 ↗

✅ Verified by Extern

Wayfair AI Agent Engineering for Business Intelligence Externship

Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.

AI Workflow DesignAI Agent DevelopmentWeb Scraping & Data ExtractionPresentation Skills

Overview

The project assembled agent-driven pipelines that scraped market and social sources, processed product attributes with AI, generated moodboards and images, and compiled trend and competitor intelligence into reports and a dashboard. Deliverables included scraping workflows, a packaged trend report, a competitor intelligence PDF, an expanded content agent, and a Market Intelligence presentation.

Wayfair AI Agent Engineering for Business Intelligence Externship

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What I've accomplished

I produced end-to-end n8n workflows that scraped retail and social sources, generated moodboard visuals and content, compiled trend and competitor intelligence reports, and exported a Market Intelligence dashboard and presentation.

Top performer

Project breakdown

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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 AI document-intelligence workflows for pharmaceutical PDFs, combining OCR, Transformer-based LLM explanations, and preprocessing for scanned pages. The project produced cleaned dataframes and enhanced image files, extracted 203 word tokens with bounding boxes, reconstructed fragmented table fields using bbox grouping and regex, and compared OCR engines with layout-aware

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

What I've accomplished

I delivered cleaned dataframes and enhanced image files, extracted 203 word tokens with bounding boxes from a native PDF, reconstructed fragmented table fields using bbox grouping and regex, and authored a Google Doc documenting extraction results and heuristics.

Project breakdown

The task asked to explain LLMs. I described that models learned patterns in large text corpora, used the Transformer architecture with attention to capture context, and underwent fine-tuning with human feedback to improve responses.

The project processed nested JSON and tabular data with Pandas, applied text cleaning and standardization routines, and preprocessed scanned pages using OpenCV/PIL (denoising, CLAHE, filtering). Deliverables included cleaned dataframes and enhanced image files.

The task processed a native PDF with PyMuPDF, extracted 203 word tokens with bounding boxes, identified fragmented table rows, and reconstructed fields using bbox grouping and regex. The submission produced a Google Doc detailing extraction results and next-step heuristics.

Google Docs

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The task compared three OCR engines on the same scanned pharmaceutical PDF. I ran each engine, measured region counts and confidence, and produced a quantitative and qualitative report showing PaddleOCR had the highest average confidence and best layout-aware extraction.

Google Docs

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View all works

Work samples

Wayfair AI Agent Engineering for Business Intelligence Externship

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

About me

Wayfair AI Agent Engineering for Business Intelligence Externship

Overview

What I've accomplished

Project breakdown

Getting Started with AI Agents - Moodboard GeneratorI built a Prompt Node that converted brief style cues into detailed moodboard prompts and generated example outputs in n8n.

Building the Consumer Trend Discovery AI AgentI built and delivered a complete Market Trend Discovery Agent, packaging data pipelines, AI processing, visuals, and a final report.

Building the Competitor Monitoring AI AgentI built and assembled a Competitor Monitoring AI Agent that scraped product data from Wayfair, Amazon, and Walmart and produced a consolidated intelligence report.

Designing the AI Insights & Content AgentI implemented planned enhancements to an AI Insights & Content Agent to make outputs more on-brand, complete, and production-ready.

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

Overview

What I've accomplished

Project breakdown

How AI Reads Pharmaceutical DocumentsI summarized how large language models work, explaining their architecture and training process.

Learn to Work with Python for AI-Powered Document ProcessingI prepared and cleaned pharmaceutical documents with Python, using Pandas and image libraries to ready data and scans for AI processing.

Data Extraction from Documents Using PythonI extracted and structured field-level data from multi-page SDF PDFs using PyMuPDF, producing a documented output with bounding boxes and extraction notes.

Advanced OCR Comparison and Layout-Aware ExtractionI compared Tesseract, PaddleOCR, and EasyOCR on a scanned pharmaceutical supplier PDF and produced a side-by-side evaluation report.