Muhammad Tahir S.

I am a Software Engineer with 7+ years of experience designing and delivering scalable backend systems, data platforms, and production-grade AI solutions for enterprise clients.

In recent years, I have specialized in architecting LLM-powered systems and AI agent infrastructures — building reliable, structured, and controllable AI workflows that integrate seamlessly into enterprise environments.

I focus on systems that are not experimental prototypes, but robust, auditable, and production-ready.

💬 Fluent English communication
🤝 Strong cross-functional collaboration
🏗️ Architecture-first mindset

🚀 Core Expertise

🤖 AI Agent Systems & LLM Infrastructure

• Enterprise-grade AI agent architecture
• Multi-agent orchestration & workflow design
• LangChain / LlamaIndex implementations
• Structured output enforcement (schema-validated JSON pipelines)
• Tool-calling & function-calling systems
• Retrieval-Augmented Generation (RAG) architectures
• Vector databases & semantic search systems
• LLM evaluation, validation & guardrails
• AI compliance & rule-based validation layers
• Context management & memory systems
• Deterministic prompt engineering for production use
• Secure integration with internal APIs
• AI workflow observability & monitoring

🏗️ Backend & Distributed Systems

• Django / FastAPI / Flask
• Node.js / Express
• REST / GraphQL APIs
• Microservices architecture
• Scalable database design (PostgreSQL, MySQL, MongoDB)
• Elasticsearch
• Authentication & role-based access control
• High-availability system design

📊 Data Engineering

• Data warehouse architecture
• BigQuery / Redshift
• ETL automation (Airflow)
• Data ingestion & transformation pipelines
• Query performance optimization
• Analytics infrastructure