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Amos Shehzad

@amosshehzad

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AI Engineer building production AI systems, including a RAG retail platform that reduced latency to under one second.

Pakistan

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At Catholic Bible Commission Pakistan (CBCP), I architected a production Django REST, React, and PostgreSQL platform across 11 backend modules, with 30+ REST endpoints. I also implemented security-focused data handling and integrated Google Sheets for real-time synchronization.

I built AI projects including a RAG-powered retail analytics platform that reduced latency from 60–180 seconds to under one second, and a LangGraph workflow for ISP support. In another project, I orchestrated four LLM agents to turn CSV and Excel data into PDF reports.

Experience

Work history, roles, and key accomplishments

Python Backend Developer

Catholic Bible Commission Pakistan

Jun 2026 - Sep 2026 (3 months)

Architected a production Django REST + React (Vite) + PostgreSQL (Supabase) platform across 11 backend modules with 30+ REST endpoints and OpenAPI/Swagger documentation via drf-spectacular. Implemented security-focused data handling with Cloudflare R2 media storage, hashed CNIC storage for PII protection, and audit-logged admin actions; integrated the Google Sheets API for real-time synchronizatio

Django Django REST Framework React PostgreSQL Supabase REST APIs OpenAPI Swagger Drf Spectacular (Swagger)Cloudflare R2 Google Sheets API Security PII Protection Audit Logging

Teaching Assistant — Computer Networks

University of the Punjab

Jan 2026 - Jun 2026 (5 months)

Supported course delivery, lab exercises, and grading for core networking concepts.

Networking Teaching Lab Grading

Teaching Assistant — Introduction to Data Science

University of the Punjab

Sep 2025 - Jan 2026 (4 months)

Assisted students with Python-based data science coursework, data wrangling, and introductory machine learning.

Python Data Science Data Wrangling Machine Learning Teaching

Data Analytics Intern

KPMG Australia

Jun 2025 - Jul 2025 (1 month)

Analyzed and transformed datasets using Python, Pandas, and NumPy to uncover trends and business insights. Built stakeholder-ready visualizations and dashboards using Matplotlib, Seaborn, and Advanced Excel.