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Asad Ullah Masood

@asadullahmasood

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AI Engineer building production LLM, RAG, and voice solutions—turning requirements into scalable systems.

Pakistan

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What I'm looking for

I’m looking for a role where I can build production LLM/RAG and voice or computer-vision systems end-to-end—owning architecture, delivery, and integration—while collaborating closely with stakeholders to turn requirements into scalable outcomes.

I’m an AI Engineer building and deploying real-world AI systems, from LLM-based applications and RAG pipelines to voice-driven, real-time solutions. I’ve designed multi-agent workflows and integrated modern AI APIs into scalable backend systems, with a focus on production readiness.

As an Associate AI Engineer, I’ve owned end-to-end AI delivery—covering architecture, deployment, stakeholder requirements, and delivery execution. I translate business needs into technical documentation and scalable specifications using FastAPI, Docker, and cloud infrastructure.

My work spans impactful projects: voice hotel booking with LiveKit/Deepgram and LLM-driven conversation; a code modernization and security platform using LangGraph, OWASP/ISO/HIPAA/GDPR/SOC 2 aligned reporting; and an EU grant application assistant that cut manual preparation effort by 70%+. I also build production-grade RAG systems (with hybrid retrieval and citations) and end-to-end ML-driven services like churn and license-plate intelligence.

Experience

Work history, roles, and key accomplishments

AI Intern

Techionik

Jan 2025 - Mar 2025 (2 months)

Contributed to AI/ML solution development, including LLM integrations, data pipelines, and model deployment workflows under senior engineering mentorship. Built hands-on experience with RAG systems, vector databases, NLP frameworks, and cloud infrastructure.

LLM Integrations RAG Systems Vector Databases LLM Frameworks Data Pipelines AI Model Deployment Cloud Infrastructure