I'm Fateme, an AI Engineer building agentic AI systems and enterprise-grade LLM platforms. Currently leading the "Projected AI" initiative at Aftab Oil Refining, where I design multi-agent workflows, document-intelligence pipelines, and automation systems that turn unstructured, real-world data into structured, actionable outputs.
AI Engineer @ Aftab Oil Refining
- Designing multi-step agent systems with LangChain & LangGraph, orchestrating reasoning and task execution via the OpenAI SDK and Google Generative AI
- Building document-intelligence pipelines (Docling) and observability tooling (LangSmith) for production-grade agent reliability
- Shipping internal AI platforms for HR analytics, job grading, and workforce assessment — spanning FastAPI, Celery, Redis, and PostgreSQL
Medical AI Research
- Built deep learning models for early Alzheimer's prediction using MRI data (ADNI dataset), exploring CNN architectures and attention mechanisms to detect subtle neurological patterns
- Developed speech-based Alzheimer's detection using the DementiaBank repository, analyzing linguistic and acoustic markers of cognitive change
Other Work
- Built insurance risk prediction models using TabNet and XGBoost
- Face detection system (OpenCV, TensorFlow) with a Telegram bot interface
- Teaching Assistant across Deep Learning, Machine Learning, AI, and Software Engineering courses, mentoring 100+ students at Semnan University
M.Sc. in Computer Science, Artificial Intelligence — Semnan University
AI/ML: LangChain • LangGraph • LangSmith • PyTorch • TensorFlow • Scikit-learn • RAG • Prompt Engineering Backend: Python • FastAPI • Django • Go • Celery Data & Infra: PostgreSQL • SQLite • Redis • Docker • Docker Compose
Always exploring the latest in agentic AI, LLM orchestration, and applied ML — recently completed courses on diffusion models and prompt engineering.
💼 LinkedIn • 📧 fjadidi2001@gmail.com
Open to collaboration on agentic AI, LLM infrastructure, and applied ML — especially in healthcare and medical imaging.