Open to opportunities

anas tariq

@anastariq

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Senior AI/ML engineer specializing in production LLMs, RAG, and agentic AI systems.

United States

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What I'm looking for

I seek roles building production LLM/agent systems with strong MLOps, observability, and reliability, in collaborative teams prioritizing safety and impact.

I am a senior AI/ML engineer with 9+ years building production systems across backend/cloud modernization, healthcare ML, AWS MLOps, and customer-facing LLM and agentic AI products. I focus on making LLM systems dependable in real-world production by shipping RAG, tool-using agents, multi-step orchestration, eval pipelines, observability, and low-latency inference services.

My work has improved grounding, task completion, latency, and release reliability through practical engineering decisions across Python, FastAPI/gRPC, Kubernetes, AWS/SageMaker, Pinecone, and AgentOps. I have designed and deployed production LLM systems with safety guardrails, built retrieval and orchestration pipelines, implemented evaluation and observability tooling, and mentored teams on reliable AI system design.

Experience

Work history, roles, and key accomplishments

AI Systems Architect

Anthropic

Jun 2025 - Jan 2026 (7 months)

Designed and deployed production LLM systems, agentic AI workflows, and RAG pipelines while improving multi-cloud inference latency, cost efficiency, safety guardrails, and observability.

LLM RAG Agentic AI Observability Safety & Alignment Python Kubernetes fastAPI

Senior AI/ML Engineer

Anthropic

Jan 2023 - May 2025 (2 years 4 months)

Built production RAG, tool-using agent workflows, orchestration and eval pipelines for customer-facing Claude experiences, improving task completion rates ~25% and p95 latency ~20% in targeted workloads.

RAG Orchestration Prompt Engineering Pinecone fastAPI Kubernetes

Senior Machine Learning Engineer

Amazon Web Services

Apr 2020 - Dec 2022 (2 years 8 months)

Owned MLOps pipelines and production inference patterns using SageMaker and EKS, introducing registry-driven releases and autoscaling improvements that reduced processing time ~25% and sped releases.

Amazon SageMaker MLOps Terraform EKS Docker CI CD Model Registry

Machine Learning Engineer

Flatiron Health

Sep 2018 - Apr 2020 (1 year 7 months)

Built predictive models and NLP extraction pipelines on oncology EHR data, improving early risk-detection accuracy ~15% and reducing data preparation time ~20% via optimized ETL and feature transforms.

predictive modeling Python scikit learn SQL ETL SHAP Data Governance

Software Engineer

Accenture

Aug 2016 - Aug 2018 (2 years)

Developed backend REST APIs and modernized legacy services to AWS, improving release reliability through CI workflows and migration playbooks for enterprise clients.

Java Spring Boot REST APIs AWS Migration SQL Jenkins CI CD Microservices

Education

Degrees, certifications, and relevant coursework

New York University

Bachelor of Science, Computer Science

2012 - 2016

Completed a Bachelor of Science in Computer Science, covering core programming, algorithms, and systems topics relevant to software and ML engineering.