Monireh Ebrahimi
AI Engineer III At Meta Via Deloitte Gen AI Solution Specialist
Scottsdale, Arizona, United States
Summary
🤩
Rockstar🎓
Top SchoolMonireh Ebrahimi is an AI engineer with nine years of experience blending deep research and product-focused machine learning, currently working as an AI Engineer III at Meta via Deloitte and serving as a GenAI solution specialist. She has a strong background in generative AI, DataOps, and conversational systems from roles at IBM and research positions at Kansas State and Wright State, complemented by internships at Bosch and industry projects building deep chatbot and retrieval systems. Holding doctoral-level training in computer science, she moves comfortably between novel research (NLP, deep semantic models) and productionizing AI for enterprise clients. Based in Scottsdale, she brings a track record of translating academic advances into commercial solutions, often focusing on practical deployment and data-centric engineering for generative AI.
9 years of coding experience
9 years of employment as a software developer
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Shiraz UniversityMaster's degree Computer Science, Master's degree Computer Science at Universiti Teknologi MalaysiaDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Kansas State UniversityDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Wright State University
English, Persian, Arabic
Github Skills (40)
pytorch10
python10
langchain10
llama10
machine-learning10
inference10
llm10
ai10
fine-tuning10
go9
pandas-dataframe8
pip6
fuzzy-finder6
vim6
question-answering6
Programming languages (5)
Github contributions (5)
deepsemantic2020/deepsemantic2020
Dec 2018 - Jan 2021
Contributions:89 commits, 33 pushes, 1 branch in 2 years 1 month
Monireh2/llama-recipes
Oct 2024 - Apr 2025
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.
Contributions:2 PRs, 19 pushes, 14 branches in 6 months
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