Open to opportunities

Ahmed Jawad

@ahmedjawad

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Principal AI engineer specializing in LLM systems, MLOps, and production AI.

United States

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What I'm looking for

I seek senior leadership roles building production-grade LLM and MLOps platforms, with a security-first culture, strong engineering standards, mentoring opportunities, and measurable reliability and latency targets.

I am a Principal AI Engineer with 15+ years designing and operating large-scale, production-grade AI systems, specializing in LLM architectures, RAG-backed investigation pipelines, agent-based orchestration, and MLOps for high-reliability environments.

I have built multimodal RAG pipelines over text, audio, and video, productionized large-scale ML systems with Kubernetes and MLflow, and reduced deployment cycles and cloud costs while improving reliability and latency. I mentor senior engineers, lead architecture reviews, and run evaluation and red-team testing to ensure LLM reliability and secure operations.

My background spans distributed systems, streaming pipelines, time-series forecasting, graph-based reasoning, and anomaly detection, and I bring a pragmatic, security-first engineering ethos to building AI platforms that translate complex real-world signals into robust automated decision systems.

Experience

Work history, roles, and key accomplishments

Director of Engineering

Noctal.xyz

Oct 2024 - Aug 2025 (10 months)

Designed and owned the AI layer powering autonomous multimodal generation, investigation, and decision workflows; productionized large-scale ML systems on Kubernetes with strict latency and reliability budgets.

RAG Kubernetes MLFlow Vector Databases Prompt Engineering MLOps

AI/ML Lead & Cofounder

RDX Sports / Xiom.AI / Xdemand.ai

Jun 2023 - Mar 2024 (9 months)

Architected an agent-based multi-LLM platform for autonomous inventory forecasting, investigation, and pricing; implemented streaming feature pipelines and end-to-end MLOps, reducing deployment cycles by ~30%.

Kubeflow MLFlow Kubernetes RAG MLOps

Head of SmartAgents & AI Systems

E.ON

Apr 2019 - Jun 2023 (4 years 2 months)

Led development of predictive and agent-based AI systems on real-time IoT and event streams; deployed distributed ML services across AWS, Azure, and GCP and reduced cloud/compute costs by ~25% while improving reliability.

Anomaly Detection Distributed Systems AWS Azure GCP Containerization MLOps

Senior Data Scientist

O2 Telefónica

Jan 2019 - Mar 2019 (2 months)

Led market research and footfall analysis for business location strategy, applying clustering, PCA, and A/B testing to optimize marketing performance.

Clustering A B Testing Footfall Analysis Statistical Modeling SQL Python Data Visualization

Lead Data Scientist

Allianz

Aug 2012 - Apr 2016 (3 years 8 months)

Led predictive modeling initiatives for churn prediction, product recommendations, and risk analytics; architected automated predictive modeling services and improved model accuracy by ~20%.

Predictive Analytics Python SQL Machine Learning