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Ahmad Mateen

@ahmadmateen

Message

Senior AI/ML Engineer specializing in LLMs, RAG, and production MLOps on AWS.

United States

Message

What I'm looking for

I want to build and deploy production LLM/NLP systems—RAG, fine-tuning, and real-time inference—with strong MLOps on AWS, collaborating cross-functionally to improve latency, reliability, and measurable business impact.

I’m a Senior AI/ML Engineer with 6+ years of end-to-end experience designing, fine-tuning, and shipping production ML systems across healthtech, enterprise SaaS, and related IT fields. My focus is turning model research into revenue-impacting products—especially through LLMs, RAG architectures, transformer fine-tuning, and real-time inference.

I’ve led cross-functional teams and built event-driven MLOps platforms to accelerate releases (from 3 weeks to 4 days), while improving reliability and performance through monitoring and automation. At Hopper, I spearheaded LLM fine-tuning and RAG pipelines that reduced hallucinations and improved enterprise search relevance to 0.91 NDCG, built real-time NLP microservices on EKS, and implemented drift monitoring and automated retraining triggers—while also delivering multimodal recommendation and RLHF workflows that reduced human review time by 41% across product lines.

Experience

Work history, roles, and key accomplishments

Current

Lead Machine Learning Engineer

Current

Hopper

Apr 2022 - Present (4 years 3 months)

Spearheaded LLM fine-tuning and RAG at Hopper, improving enterprise search relevance to 0.91 NDCG and reducing hallucinations, and built an event-driven MLOps platform (MLflow, Kubeflow Pipelines, GitHub Actions) that cut model release cycles from 3 weeks to 4 days. Led a team of 8 to deploy FastAPI/Kafka NLP microservices (50k+ requests/day, P99 <120 ms on EKS) and implement drift monitoring with

LLM Fine tuning RAG MLFlow Kubeflow GitHub Actions fastAPI Kafka Evidently AI

Education

Degrees, certifications, and relevant coursework

California State University

Master of Science in Computer Science, Computer Science

2015 - 2017

Activities and societies: Certifications: Machine Learning with Python (IBM); AWS Certified Machine Learning – Specialty; Deep Learning Specialization (Coursera/DeepLearning.AI).

Earned an MS in Computer Science at California State University from 2015 to 2017. Completed related professional certifications in machine learning and AWS deep learning.