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Zabiullah Zahir

@zabiullahzahir

I build production RAG, reasoning, computer vision, and financial forecasting systems with measurable model improvements.

Pakistan

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What I'm looking for

I'm seeking an AI/ML Engineer role where I can apply LLMs, RAG, knowledge representation, deep learning, and applied machine learning to real-world problems.

At Tensorfold, I built and iterated on production-grade RAG pipelines and prompt engineering strategies for three LLM-powered use cases, improving response relevance and accuracy by 18%.

I designed an LLM evaluation framework across quality, relevance, and reasoning consistency, reviewing 500+ outputs to identify failure patterns and improve prompts and retrieval. My work also spans ontology-driven reasoning systems, knowledge graphs, computer vision classifiers, and end-to-end machine learning pipelines.

For my final-year PSX Portfolio Optimizer, I forecast trends across 30 PSX-listed stocks and combined financial-news reasoning with Black-Litterman portfolio weighting, outperforming an equal-weight baseline by 12% in backtesting.

Experience

Work history, roles, and key accomplishments

AI/ML Intern – LLM Applications

Tensorfold

Jun 2026 - Aug 2026 (2 months)

Built and iterated on production-grade RAG pipelines and prompt engineering strategies for 3 LLM-powered use cases, improving response relevance/accuracy by 18% through systematic evaluation and refinement. Designed a structured LLM evaluation framework to score AI-generated responses against quality, relevance, and reasoning-consistency criteria, reviewing 500+ outputs and surfacing failure patte