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Noman Ali

@nomanali2

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AI/ML engineer at Crystal Techify who shipped RAG pipelines with 90%+ retrieval accuracy and 1–2 second latency.

Pakistan

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What I'm looking for

I'm seeking remote opportunities at the intersection of solid software engineering and applied AI.

At Crystal Techify, I designed and shipped RAG pipelines using Lang Chain and vector databases, achieving 90%+ retrieval and answer accuracy at 1–2 second end-to-end latency. I also deployed LLM-powered features to 500+ users and optimized pipelines and prompts to cut inference and infrastructure costs by about 30%.

I built a FastAPI backend integrated through REST APIs, maintained 80%+ test coverage, and used CI/CD for reliable AI service delivery. I also automated recurring content and data validation workflows, saving 8+ hours per week and reducing manual errors by 50%.

Previously, at Huff & Puff Logistics, I built and maintained MERN applications serving 1,000+ users across client projects. I developed responsive React.js and Next.js applications and REST APIs with Node.js and Express.js, while query and code-splitting optimizations cut load times by up to 50%.

Experience

Work history, roles, and key accomplishments

AI/ML Engineering

Crystal Techify

Jun 2021 - Feb 2026 (4 years 8 months)

Designed and shipped RAG pipelines achieving 90%+ retrieval and answer accuracy at 1–2 second latency. Deployed LLM powered features to 500+ users, cutting inference and infrastructure costs by ~30%.

Lang Chain Vector Databases RAG fastAPI LLM OpenAI Python CI CD REST APIs

Full Stack Engineering

Huff & Puff Logistics

Jan 2020 - Jun 2021 (1 year 5 months)

Built and maintained full stack MERN applications serving 1,000+ users. Optimized queries and implemented code splitting, cutting load times by up to 50% and shrinking bundle size by ~30%.

MongoDB ExpressJS React NodeJS Next.js JavaScript REST APIs CI CD

Education

Degrees, certifications, and relevant coursework

The University of Manchester

BSc, Computer Science

2016 - 2020

Studied Computer Science at the University of Manchester, a top-10 UK program (QS Rankings) with a strong focus on software engineering fundamentals. Core coursework included Data Structures & Algorithm, OOP, Database Management System, Artificial Intelligence, Software Engineering, and OS.