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Lautaro Echegaray

@lautaroechegaray

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Senior AI/ML engineer building production-grade agentic AI systems and scalable LLM solutions.

United States

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What I'm looking for

I seek senior engineering roles building production LLM and agentic AI systems with strong engineering practices, cloud scale, mentorship opportunities, and measurable business impact.

I am a Senior AI/ML engineer specializing in production-grade agent-based AI systems, RAG pipelines, and enterprise LLM applications across AWS, Azure, and GCP. I combine deep technical expertise with leadership to deliver AI solutions in healthcare, autonomous vehicles, and enterprise sectors.

At SynapseOps I led a 5-person team designing agentic systems, engineered production RAG pipelines processing 2M+ documents with p99 latency under 100ms, and deployed Kubernetes clusters maintaining a 99.95% SLA. Previously, I built LLM-powered search and large-scale ETL pipelines, optimized models for edge deployment, and improved data processing performance across cloud platforms.

I am passionate about bridging cutting-edge AI research with real-world engineering, mentoring engineers on LLM best practices, and implementing robust testing and observability to reduce bugs and drive reliable production ML.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Synapse Operational Systems & Solutions

Jan 2024 - Present (1 year 10 months)

Led a 5-person team designing agentic AI systems and production RAG pipelines, reducing manual workflows by 35% and processing 2M+ documents with p99 latency under 100ms while maintaining 99.95% SLA.

LangGraph AutoGen RAG Pinecone Kubernetes Prometheus Pytest

AI/ML Engineer

Vectorworks

Mar 2020 - Dec 2023 (3 years 9 months)

Built LLM-powered search and Python APIs, processing 500K+ documents and handling 50K RPS with p50 latency of 20ms; managed AKS deployments and ETL pipelines transforming 10TB+ unstructured data, improving ETL performance by 40%.

fastAPI Apache Spark Pandas PyTorch SpaCy Databricks

Machine Learning Engineer

Parallel Domain

Jul 2019 - Feb 2020 (7 months)

Orchestrated ML pipelines on GCP Vertex AI enabling 100+ parallel experiments and optimized TensorFlow models with TensorRT to reduce inference time by 55%; developed 3D object detection models for LiDAR with improved mAP.

Sensor Fusion Vertex AI Kubeflow TensorFlow TensorRT PyTorch PointNet++Sensor Fusion

Software Developer

MindSpark

May 2018 - Jun 2019 (1 year 1 month)

Architected RESTful APIs with FastAPI and Redis caching to improve response times by 30%, built ETL pipelines processing 50K+ records daily, and developed a recommendation system with 75% relevance.

fastAPI Python Redis Apache Airflow Pandas React D3.Js scikit learn Testing Automation

Education

Degrees, certifications, and relevant coursework

Florida Atlantic University

Bachelor of Computer Science, Computer Science

2014 - 2018

Completed a Bachelor of Computer Science focusing on software engineering and machine learning principles, graduating after coursework and projects from Sep 2014 to Apr 2018.