ABOUT ME
01.Name : Sakher Yaish
02.Location : Chicago, Illinois
03.Current Role : Associate Software Engineer, T-Mobile
04.Education : M.S. + B.S. in Artificial Intelligence
05.Focus : LLM Systems, RAG, Agentic AI, Full-Stack Engineering

I build production AI and software systems with a strong focus on reliability, speed, and measurable product impact. My work combines backend engineering, LLM evaluation, and practical ML deployment.

At T-Mobile, I engineer AI-powered recommendation and assistant systems, build secure APIs, and implement verification workflows that reduce unsafe or incorrect model outputs.

As Founder and CTO of Lines Printing, I built and operated customer-facing digital workflows, implemented automation and reporting, and shipped GenAI features with robust quality gates and cost controls.

I hold both a Master's and Bachelor's degree in Artificial Intelligence from Illinois Institute of Technology and continue to build in the areas of personalization, MCP-enabled tooling, and multi-agent orchestration.

EDUCATION

Illinois Institute of Technology - Chicago, IL

Master's in Artificial Intelligence
  • Relevant coursework: Advanced AI, Natural Language Processing, Computer Vision, Deep Learning, and Big Data.

Illinois Institute of Technology - Chicago, IL

Bachelor's in Artificial Intelligence
  • Dean's List and Presidential Leadership Scholarship Recipient.
  • Relevant coursework: Data Structures and Algorithms, Data Mining, Machine Learning, and Intro to AI.
  • IIT Machine Learning Club Member.
SKILLS

LLM & Agentic Systems

LLM-as-judge, offline evaluation harnesses, rubric-based grading, tool-calling, RAG, prompt/context engineering, regression testing, run-to-run consistency, hallucination checks, MCP, LangGraph, LangChain, LangSmith.

Software Development

Full-stack development with Laravel, React, Node.js, RESTful APIs, SQL, JavaScript, PHP, and Python.

AI & Machine Learning

Neural networks, NLP, computer vision, deep learning, Transformers, CNNs, vector databases, fine-tuning, MLOps, FastAPI, Pydantic, Streamlit, TensorFlow, Keras, PyTorch.

Cloud, Big Data & DevOps

AWS, Azure ML, Docker, CI/CD, Kubernetes, Serverless (Lambda), PySpark, Hadoop, Kafka, Redis, Pandas, Scikit-learn, Matplotlib, OpenAI, and Agile delivery.