Lama Alsaif

 R&D Sr. Analyst · AI/ML · THIQAH


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About me

I’m Lama Alsaif, a Senior Analyst in Research & Development at THIQAH, focused on AI/ML products—from research and solution design to model fine-tuning and deployment. I hold a BSc in Computer Science from King Saud University and am passionate about NLP, large language models, and generative AI.


Experience

Research & Development, Sr. Analyst — THIQAH (Mar 2023 – present)
I work on large-scale AI products: research, solution design, model fine-tuning, and deployment. I design and optimize ML solutions in NLP, LLMs, and diffusion models—including multi-label classification, LangChain-based assistants, prompt engineering for diffusion and image background removal, and a company-wide labeling framework. I’ve built an auditing platform for product manipulation detection, a movie-creation assistant for agencies and scriptwriters, and use technologies such as NLP, LLMs, BERT, Stable Diffusion, Docker, FastAPI, and Streamlit with Agile delivery.

Data Scientist (Intern) — stc, Advanced Analytics (May 2022 – Jan 2023)
Presented on Diffusion Models at department town halls; collaborated on a large-scale POC (solution design, data scraping, MongoDB, model fine-tuning, FastAPI deployment, front-end). Delivered EDA, clustering, and findings for GCTO; developed anomaly detection, EasyOCR fine-tuning, sentiment error analysis, and Arabic text classification.


Education

Bachelor of Computer Science — King Saud University (2017 – 2022)
Key courses: Machine Learning, Image Processing, Selected Topics in ML.


Achievements

  • 1st place, STC Hackathon (Oct 2021) — Fall monitoring system using a prototype with an embedded SVM model (AI + IoT).
  • 4th place, Arabic Language Hackathon (Feb 2022) — Applied the Shakkala model for Arabic NLP diacritization.

Certifications

  • Google Advanced Solutions Lab
  • Experts’ Journey in AI & ML — MCIT
  • Microsoft Certified: Azure AI Fundamentals
  • Microsoft Certified: Azure AI Engineer Associate
  • Google Cloud Certified Professional Machine Learning Engineer
  • Stanford Certified — Natural Language Processing with Deep Learning
  • Samsung Innovation Campus — AI Course
  • Stanford Certified — Deep Generative Models (VAEs, GANs, flows, diffusion)