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Arisha Saeed AkkasAA
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Arisha Saeed Akkas

@arishasaeedakkas

Lead AI Engineer at Royal Cyber building enterprise RAG and agentic AI systems with evaluation workflows.

Pakistan
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At Royal Cyber, I design and deploy enterprise AI systems across document intelligence, multimodal AI, computer vision, and generative AI. I work directly in client environments to identify failure modes and improve system reliability.

I led development of an AI Receiving System that processes 200+ vendor formats, with confidence scoring, validation, and a self-learning correction framework. I also defined evaluation criteria, curated test datasets, and established human-review processes for AI applications.

At TrueBeauty, I developed and deployed a deep-learning recommendation engine for personalized skincare suggestions, including a proprietary product affinity-scoring algorithm. As a freelance ML Engineer / Data Scientist, I have also worked on EEG classification, Databricks ETL and ML pipelines, and StyleGAN image synthesis.

Experience

Work history, roles, and key accomplishments

RC
Current

Lead AI Engineer (Senior Data Scientist)

Royal Cyber

Oct 2023 - Present (2 years 11 months)

Designed and deployed production-grade AI platforms across document intelligence, multimodal AI, computer vision, and Generative AI. Led full-lifecycle development of RAG applications and multi-agent systems, and mentored an 8-member AI engineering team.

Education

Degrees, certifications, and relevant coursework

National University of Sciences and Technology (NUST) logoNN

National University of Sciences and Technology (NUST)

Master of Computer Science, Computer Science

2018 - 2022

Master of Computer Science with a specialization in Machine Learning. Thesis on building household electricity load profiles using Machine Learning.

Lahore College for Women University logoLU

Lahore College for Women University

Bachelor of Science, Computer Science

2013 - 2017

Bachelor of Science in Computer Science. Final year project on robotic simulation for crop field analysis.

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