AbdulAhad Azam
I’m AbdulAhad Azam, a software engineer who enjoys building scalable backend systems and AI-powered applications that turn large amounts of data into useful search, automation, and decision support.
About
I’m AbdulAhad Azam, a software engineer who enjoys building scalable backend systems and AI-powered applications that turn large amounts of data into useful search, automation, and decision support. I’ve worked with FastAPI, Node.js, Django, React/Next.js, and modern data tools to deliver multi-tenant products, reconciliation workflows, and RAG-based solutions.
I also focus on applied AI using techniques like RAG, OCR, and transformer-based models then packaging them into production-ready services with monitoring and clean APIs. From internships to full-time roles, I’ve aimed to combine reliable engineering (Docker, CI/CD, databases, observability) with intelligent features that actually help teams move faster.
- 1 year's experience
- Joined November 2026
Skills· 26
Languages
- EnglishIntermediate
- UrduAdvanced
Industry experience
- Software & Internet
- Healthcare
- Financial Services
- Computers & Electronics
Work experience· 4 roles
Engineered a healthcare management system for US-based doctors and patients using Django, Next.js, and MySQL. The system supports appointment booking, payments, and AI-assisted support within the platform. Built a full-stack e-commerce application for buying and selling books using Django and React.js.
Developed Sportiv, an aRAG-based search application for nearly 500GB of Romanian-language sports documents, enabling efficient search and information extraction from sports contracts. Supported data-driven sports marketing decisions using Python, Pinecone, Redis, AWS S3, and Railway. Redesigned and rebuilt a multi-tenant medical product quotation backend using FastAPI (Python) and TypeScript, implementing scalable schema design, multi-dashboard support, and integrating Google Vertex AI with Jira workflows for intelligent automation. Built an invoice and bank-remittance reconciliation automation system using OpenClaw, GLM-OCR, AWS, and Amazon Bedrock AI, with Amazon CloudWatch for monitoring.
Developed and maintained robust backend functionality, including API creation, authentication, and data management using Node.js.
Education
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