Open to opportunities

Jarod Wilson

@jarodwilson

Message

Senior AI/ML and Python backend engineer delivering scalable production ML systems.

United States

Message

What I'm looking for

I seek senior roles building production AI/ML systems, focusing on MLOps, backend architecture, and LLM/RAG integrations within collaborative, outcome-driven teams.

I am a Senior AI/ML and Python backend engineer with over 10 years building scalable, production-grade machine learning systems and cloud-native backend architectures.

I design and deploy agentic AI systems and RAG pipelines using FastAPI, LangChain, Hugging Face, TensorFlow, and PyTorch, and I optimize inference and backend performance through Kubernetes and asynchronous API design.

I have led cross-functional teams, mentored junior engineers, and delivered measurable outcomes — reducing processing time by 45%, accelerating model deployment by 30%, and improving delivery efficiency by 25%.

I am passionate about MLOps, data engineering, and integrating LLM-driven workflows into enterprise software to drive ROI and operational automation.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Qubika

Jan 2023 - Present (3 years 1 month)

Directed an 8-member cross-functional team to design and deploy AI-native applications using Python, FastAPI, and AWS, maintaining 99.9% uptime and reducing processing time by 45% via agentic AI and RAG pipelines.

Python fastAPI RAG AWS Kubernetes Hugging Face Prometheus Grafana

AI/ML Engineer

HatchWorks AI

Jun 2018 - Dec 2022 (4 years 6 months)

Delivered end-to-end generative AI and RAG-based solutions, built data pipelines and feature stores with Airflow2 and Snowflake, and improved retrieval accuracy by ~35% through vector store orchestration.

Airflow Snowflake AWS Glue Pinecone Faiss MLFlow Docker MLOps

Machine Learning Engineer

BlueLabel

Feb 2016 - May 2018 (2 years 3 months)

Developed and deployed predictive ML models with TensorFlow and scikit-learn, built REST APIs with FastAPI/Flask serving 50K+ active users, and containerized services with Docker for scalable CI/CD.

TensorFlow scikit learn fastAPI Flask Docker AWS S3 AWS Lambda CI CD REST APIs

Data Scientist

Experion Technologies

Jul 2014 - Jan 2016 (1 year 6 months)

Designed and automated ETL pipelines into AWS S3/Redshift, improving data reliability and reducing processing latency by 30% while enhancing SQL query performance and data integrity for production models.