Abid Ali

Software engineer building developer tooling for LLM infrastructure — Model Context Protocol servers and security scanners, cost profilers and output stability analyzers, shipped as command-line tools and published packages. Fullstack across Python and FastAPI on the backend, React, Next.js and TypeScript on the frontend, with PostgreSQL and MongoDB for data, deployed with Docker on AWS and Vercel. Independent client work since January 2020, building AI features and the applications around them.

AI Engineer - BuildWithAbid - Islamabad

(2026-03)

Open-source developer tooling for LLM and MCP infrastructure — 18 public repositories.

• ai-stability — CLI that runs a prompt N times, scores pairwise similarity across responses, and reports an output-stability rating with inline diffs. Four releases.
• llm-spend-profiler — zero-config Python profiler wrapping OpenAI and Anthropic clients to attribute spend by feature, identify retry waste and context bloat, and flag model-downgrade opportunities.
• Security tooling — mcp-shield and mcp-audit, scanners that inspect MCP servers for unsafe tool definitions, prompt-injection surface, over-broad permissions and credential leaks. TypeScript and Python.
• Infrastructure — mcpgate, an MCP gateway that reverse-proxies and routes traffic between clients and servers with auth, rate limiting, access control and observability.
• Testing — mcp-testkit, a framework for MCP servers with custom matchers, schema validation, fuzz testing and snapshot support for vitest and jest.
• Benchmarking — llm-bench, a terminal CLI that dispatches one prompt to OpenAI, Anthropic, Gemini and Groq in parallel and compares latency, cost and output quality.
• Working set: Python, TypeScript, MCP SDK, OpenAI / Anthropic / Gemini / Groq APIs, SQLite, Ink and React for terminal UI, PyPI packaging.

AI & Full-Stack Developer - BuildWithAbid - Islamabad

(2020-01 - 2026-03)

Independent developer working with clients on AI features and the applications around them.

• Integrated LLM capabilities into existing client products through Python and FastAPI services exposed over REST APIs.
• Built AI automation for manual business processes — document processing, content generation and workflow orchestration.
• Developed the applications these systems ran in: React, Next.js and TypeScript frontends, admin dashboards and internal tooling.
• Designed and maintained data layers in PostgreSQL and MongoDB, including schema design and query optimisation.
• Deployed and maintained production systems on AWS, Docker and Vercel.
• Worked with clients end to end: requirements, architecture, delivery and ongoing maintenance.

MSc - Computer Science - University of Peshawar (2009 - 2011)

BSc - Computer Science - University of Peshawar (2006 - 2008)