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chaudhry_az33m

Muhammad Azeem

@chaudhry_az33m
Pakistan
Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
Hi, I'm Azeem, a Python & AI Engineer specializing in backend development, intelligent automation, and production-ready AI systems. I build scalable APIs with FastAPI, agentic AI workflows, RAG applications, large-scale web scrapers, document processing pipelines, vector search solutions, and cloud-native applications on Google Cloud. My expertise includes LLM integration, workflow automation, REST APIs, data engineering, and scalable backend architecture. I focus on writing clean, maintainable code, clear communication, and delivering reliable software that creates long-term value.... Continua a leggere

Competenze

c
chaudhry_az33m
Muhammad Azeem
offline • 
Tempo di risposta medio: 2 ore

Consulta i miei servizi

Siti Web e software IA
I will ai assistants and automate workflows
Shopify
I will custom shopify hydrogen storefronts

Portfolio

Esperienza lavorativa

LinkedIn

AI engineer

LinkedIn • Part time

Jan 2026 - Aug 2026 • 7 mos

Built an end-to-end AI-powered knowledge retrieval platform for 61 California county Environmental Health Department websites. Developed a resilient web scraper capable of handling Cloudflare-protected and JavaScript-heavy sites using Zyte API and Chrome DevTools Protocol fallbacks. Created a document processing pipeline that converts HTML and PDFs into structured Markdown with custom parsing, layout-aware text extraction, table detection, and VLM fallback for scanned documents. Implemented retrieval-optimized chunking with rich structural metadata, an incremental embedding pipeline into Vertex AI Vector Search, and a FastAPI-based RAG service that retrieves relevant content and generates citation-backed responses with Redis caching and conversational context. Deployed the platform on Google Cloud using Cloud Run Jobs for batch workloads and Cloud Run for the API, with Docker-based services, automated CI/CD pipelines, and 50+ tests to ensure reliable deployments, pipeline health, and system robustness.