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Ivan Hussain

@ivanhussain

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Senior AI Engineer specializing in agentic LLM orchestration and production ML systems at enterprise scale.

United States

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What I'm looking for

I’m looking to lead end-to-end agentic AI and ML systems—agent orchestration, RAG, and reliable inference—built with zero-downtime deployments, strong observability, and practical AI safety.

I’m a Senior AI Engineer with 7 years of full-lifecycle ownership spanning ML research, system architecture, and production deployment. I specialize in agentic AI orchestration, LLM-powered automation, and transformer-based inference systems delivered across healthcare, finance, and logistics.

I consistently convert complex operational problems into deterministic, maintainable AI infrastructure with zero-downtime delivery standards. My focus is turning roadmaps into high-availability, automated pipelines that meet client-mandated timelines and global impact.

In my most recent role, I orchestrate agentic AI workflows that eliminate manual data entry, status routing, and report generation. I architect multi-modal diagnostic infrastructure for unstructured EHRs, imaging metadata, and clinical charts, integrating secure, cloud-native managed services with 24/7 observability and SLA-grade uptime.

Earlier, I built transformer-based inference pipelines for document classification and semantic extraction with versioning and staged A/B rollouts. I also containerized ML services and optimized inference speed with vLLM, TensorRT, and INT8 quantization—bringing reproducible deployment standards and production-ready best practices to every delivery.

Experience

Work history, roles, and key accomplishments

Current

Lead AI Engineer

Current

I StreamSolutions

Aug 2023 - Present (2 years 10 months)

Orchestrated agentic AI workflows that eliminated manual data entry, status routing, and report generation across SME and enterprise operations. Directed 14-day rapid deployment cycles and built zero-downtime, cloud-native ML services with 24/7 observability and LLM GuardRails/LangSmith safety for healthcare and finance.

Agentic AI LangGraph Langsmith AWS EC2 Lambda Sagemaker Kubernetes Observability

Senior AI & ML Systems Engineer

Graphite

Oct 2021 - Jul 2023 (1 year 9 months)

Implemented transformer-based inference pipelines in Hugging Face for document classification and semantic extraction with versioning and staged A/B rollouts. Engineered graph-based routing logic for dispatch automation, containerized ML services with Docker, and optimized inference speed using vLLM, TensorRT, and INT8 quantization.

VLLM TensorRT INT8 Quantization fastAPI Docker A B Testing Model Versioning Inference Optimization

Associate AI/ML Engineer

Gorgias

May 2019 - Sep 2021 (2 years 4 months)

Developed supervised classification and regression pipelines using scikit-learn and TensorFlow for logistics and retail analytics. Built Python ETL and SQL preprocessing layers, prototyped NLP components for tokenization/entity extraction/sentiment, and maintained MLflow tracking and model versioning for reproducible iterations.