I build and scale cloud-native, production AI agents and LLM applications for enterprise teams.

My work focuses on agentic AI, LLM applications, RAG workflows, and AI governance—making sure systems are safe, observable, reliable, and production-ready.

Over the past year, I’ve:

• 🚀 Reduced deployment lead time by 30%
• 🔁 Decreased content update cycles by 40%
• 🟢 Maintained 99% uptime in production environments

I started my journey in Karachi, working with WordPress, JavaScript, TypeScript, and Python.
Today, I work as an Agentic AI Engineer & Full-stack Developer at GIAIC, designing autonomous, cloud-native systems using:

• OpenAI GPT & OpenAI Agents SDK
• FastAPI, Dapr, and MCP Server (Context7)
• Distributed training and fine-tuning with Ray and PyTorch

I also consult with teams to turn AI concepts into measurable, production outcomes—not demos.

• Design and implement RAG pipelines and vector search
• Work with Qdrant and Pinecone
• Build data backends using PostgreSQL, NeonDB, and SQLModel
• Ship developer docs and portals with Docusaurus
• Treat Markdown as code

For agent UIs and integrations, I work with:

• OpenAI ChatKit
• Official MCP SDKs

I deploy and operate systems using:

• Docker & Kubernetes
• Helm, Minikube, kubectl-ai, and kagent
• GitHub Actions, Terraform, DevContainers, and n8n
• Cost-effective production clusters on DigitalOcean (DOKS) when appropriate

Every release includes:

• 📊 Observability
• 🔎 Model monitoring
• 🧬 OpenTelemetry patterns

• Test-Driven & Spec-Driven Development
• Guardrails for safe and predictable RAG behavior
• Strong emphasis on governance, reliability, and maintainability

I call this approach M-Shaped Development:

Deep AI/ML expertise combined with broad full-stack and cloud engineering skills.

Delivered production agents and governed LLM applications for:

• Shell
• Unilever
• Carrefour
• HBL

Outcomes included:

• Faster release cycles
• Shorter content update timelines
• Enterprise uptime targets
• Improved release velocity

• AI Engineering roles
• MLOps roles
• Full-stack cloud development
• Short-term consulting engagements

Let’s connect and build practical, scalable AI systems together.

AI & ML
Python · OpenAI GPT · OpenAI Agents SDK · OpenAI ChatKit · Ray · PyTorch · RAG

Backend & Data
FastAPI · Dapr · MCP Server (Context7) · Official MCP SDK · PostgreSQL · NeonDB · SQLModel · Qdrant · Pinecone · Kafka

Cloud & DevOps
Docker · Kubernetes · Helm · Minikube · kubectl-ai · kagent · GitHub Actions · Terraform · DevContainers · DigitalOcean (DOKS) · n8n

Frontend & DX
TypeScript · Next.js · Tailwind CSS · Sanity (groq) · Docusaurus · Markdown as code

Quality
pytest · TDD · Spec-Driven Development

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