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Hi, I’m Zaid Alshami, a Machine Learning/LLM Engineer with 6 years of experience delivering bespoke LLM solutions and scalable AI workflows. I’ve designed complex prompt strategies, engineered Retrieval-Augmented Generation systems, and optimized models for production with a focus on latency, reliability, and business impact. I thrive on collaborating with cross-functional teams to tailor AI solutions to specific industries, and I’m proficient in deploying containerized ML systems and MLOps across AWS, Google Cloud, and LangChain tooling to accelerate model iteration and adoption.…Hi, I’m Zaid Alshami, a Machine Learning/LLM Engineer with 6 years of experience delivering bespoke LLM solutions and scalable AI workflows. I’ve designed complex prompt strategies, engineered Retrieval-Augmented Generation systems, and optimized models for production with a focus on latency, reliability, and business impact. I thrive on collaborating with cross-functional teams to tailor AI solutions to specific industries, and I’m proficient in deploying containerized ML systems and MLOps across AWS, Google Cloud, and LangChain tooling to accelerate model iteration and adoption.

Zaid Alshami

Data Scientist, AI Engineer, AI Developer, +2

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Hi, I’m Zaid Alshami, a Machine Learning/LLM Engineer with 6 years of experience delivering bespoke LLM solutions and scalable AI workflows. I’ve designed complex prompt strategies, engineered Retrieval-Augmented Generation systems, and optimized models for production with a focus on latency, reliability, and business impact. I thrive on collaborating with cross-functional teams to tailor AI solutions to specific industries, and I’m proficient in deploying containerized ML systems and MLOps across AWS, Google Cloud, and LangChain tooling to accelerate model iteration and adoption.…Hi, I’m Zaid Alshami, a Machine Learning/LLM Engineer with 6 years of experience delivering bespoke LLM solutions and scalable AI workflows. I’ve designed complex prompt strategies, engineered Retrieval-Augmented Generation systems, and optimized models for production with a focus on latency, reliability, and business impact. I thrive on collaborating with cross-functional teams to tailor AI solutions to specific industries, and I’m proficient in deploying containerized ML systems and MLOps across AWS, Google Cloud, and LangChain tooling to accelerate model iteration and adoption.

Available to hire

Hi, I’m Zaid Alshami, a Machine Learning/LLM Engineer with 6 years of experience delivering bespoke LLM solutions and scalable AI workflows. I’ve designed complex prompt strategies, engineered Retrieval-Augmented Generation systems, and optimized models for production with a focus on latency, reliability, and business impact.

I thrive on collaborating with cross-functional teams to tailor AI solutions to specific industries, and I’m proficient in deploying containerized ML systems and MLOps across AWS, Google Cloud, and LangChain tooling to accelerate model iteration and adoption.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior LLM Engineer at MillionLogics – Trusted Oracle Partner

November 1, 2025 - Present

Designed and engineered high‑performance prompt strategies for large language models and led fine‑tuning initiatives with hyperparameter optimization to improve accuracy and efficiency. Applied quantization and knowledge distillation to enable scalable deployment of AI systems across production environments.

MACHINE LEARNING/LLM ENGINEER at UPWORK

January 1, 2024 - November 1, 2025

Delivered custom LLM solutions to global enterprise clients across 5+ industries, achieving 100% client satisfaction and on‑time deployments. Built scalable LLM agent frameworks handling thousands of concurrent requests, reducing inference latency by 30%. Developed RAG pipelines with millions of domain‑specific documents, improving answer accuracy by 40%. Implemented DL projects in PyTorch across CV/NLP pipelines and designed AI agents with LangGraph for automated reasoning, cutting manual intervention by 50%. Deployed containerized ML systems on AWS/Google Cloud with auto‑scaling and used Vertex AI Studio for experimentation, reducing iteration cycles by 35%. Applied LoRA/QLoRA fine‑tuning to speed up training with minimal accuracy loss and built AWS MLOps pipelines for continuous deployment.

SENIOR MACHINE LEARNING / SOFTWARE ENGINEER at THARAWAT FINANCIAL SERVICES

August 1, 2021 - May 1, 2025

Built AI‑powered features for Easy Ewallet to enhance functions and reliability for 10K+ active users, boosting transaction success rates by 20%. Developed real‑time fraud detection pipelines with XGBoost and FastAPI, reducing false positives by 35%. Implemented secure onboarding with facial recognition and ID verification, improving approval times. Followed Clean Architecture and SOLID principles in an Agile setup and managed CI/CD via Azure DevOps for faster, reliable releases.

FULL STACK AI DEVELOPER at SMART QUIZ PLATFORM

August 1, 2024 - October 1, 2024

Built an AI‑powered quiz generation system using LangChain and OpenAI to automate question creation for 10K+ learners with 90% topic relevance. Implemented RAG pipelines for personalized learning content, boosting engagement and retention by 35%. Deployed end‑to‑end on AWS (SageMaker/Lambda/ECS) with a Flutter UI for cross‑platform access.

SENIOR MACHINE LEARNING ENGINEER at AOWSAN ECOMMERCE

November 1, 2023 - January 1, 2024

Built a real‑time recommendation system using collaborative filtering, delivering personalized product suggestions with sub‑second latency for tens of thousands of users. Increased conversion rates by 35% through data‑driven recommendations and developed automated A/B testing pipelines for continuous evaluation across product categories.