Looking for a job

Nicolas Wagner

@nicolaswagner

Message

Senior Data Scientist specializing in LLMs, RAG, and production ML systems.

United States

Message

What I'm looking for

I seek a senior ML role building production GenAI and ML systems, emphasizing scalable infrastructure, rigorous experimentation, and cross-functional impact.

I am a Senior Data Scientist with 10+ years of experience building production ML and GenAI systems for large tech companies and high-growth startups. I specialize in LLMs, RAG architectures, agentic AI workflows, predictive modeling, and scalable ML infrastructure.

At EliseAI I led development of conversational agents that automated leasing and healthcare workflows across SMS, voice, and chat, delivering grounded responses with GPT-4, Llama models, LangChain, and Pinecone to reduce hallucinations and improve response accuracy.

Previously at Plaid I built large-scale NER, sequence classification, and semantic retrieval systems to normalize and enrich transaction data for billions of transactions annually, and I developed Spark and Airflow pipelines to accelerate model refresh cycles and production deployments.

I have deep experience in model optimization, Kubeflow pipelines, FastAPI services, HIPAA-compliant data pipelines, A/B experimentation, and performance benchmarking; I partner with product, domain experts, and executives to align ML roadmaps with business goals.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

EliseAI

Apr 2022 - Present (3 years 11 months)

Led development of EliseAI conversational agents for property management and healthcare, automating scheduling and support to reduce operational workload and improve response accuracy and latency. Architected LLM-driven RAG pipelines, implemented HIPAA-compliant pipelines, and ran large-scale A/B experiments to improve grounding and conversion metrics.

LLMs (GPT 4 LLaMA RAG Pinecone fastAPI Spark A B Testing Kubeflow

Senior Data Scientist

Plaid

Jan 2019 - Apr 2022 (3 years 3 months)

Led data science for Plaid Transactions, building NER and sequence classification models to normalize 3M+ transaction descriptions daily and powering transaction intelligence for billions of transactions. Designed ML pipelines and A/B frameworks that reduced model refresh latency and improved merchant identification accuracy.

BERT Gradient Boosting Spark Airflow MLFlow

Machine Learning Engineer

Nvidia

Jul 2017 - Dec 2018 (1 year 5 months)

Built and optimized deep learning inference pipelines for NLP and CV workloads using TensorRT and TensorFlow, improving GPU throughput and reducing latency via FP16, layer fusion, and graph optimizations. Developed benchmarking frameworks and integrated optimized inference into NVIDIA products.

TensorRT TensorFlow CUDA PyTorch Optimization Benchmarking Performance Tuning

Data Scientist

Google

Oct 2015 - Jul 2017 (1 year 9 months)

Developed large-scale training and evaluation datasets and distributed data pipelines for neural machine translation, designing experimentation frameworks that improved translation quality and supported transition to self-attention architectures. Built feature extraction and embedding pipelines in TensorFlow and C++.

TensorFlow Data Pipelines Feature Extraction Experimentation C#Data Engineering