Corey Fleming
@coreyfleming
Senior AI/ML Engineer specializing in production-grade Python systems and LLM solutions.
What I'm looking for
I am a Senior AI/ML Engineer with over nine years designing and deploying machine learning systems, LLM-based solutions, and MLOps workflows. I build scalable architectures, lead end-to-end AI projects, and ensure regulatory compliance including GDPR and HIPAA.
My hands-on work includes developing and optimizing models with TensorFlow and PyTorch, fine-tuning LLMs (GPT-4, LLaMA 2, Mistral), and delivering production inference via FastAPI, ONNX Runtime, Docker, and Kubernetes. I also design real-time data pipelines with Airflow, Kafka, and AWS tooling to support continuous analytics.
I collaborate closely with product, data, and engineering teams to ship features in Agile sprints, mentor junior engineers, and produce reproducible ML workflows using MLflow, DVC, and CI/CD. I focus on model interpretability, performance, and secure, compliant deployments.
Experience
Work history, roles, and key accomplishments
Senior AI / ML Engineer
Ubersuggest
Aug 2023 - Aug 2025 (2 years)
Designed and deployed AI-powered backend systems and proprietary LLMs for summarization, semantic search, and chatbots; improved recommendation accuracy and reduced inference latency through model optimization and real-time data pipelines.
Senior Data Scientist
Take2
Apr 2022 - May 2023 (1 year 1 month)
Delivered production-grade predictive models for fraud detection, churn, and credit scoring while building interpretable AI dashboards and integrating models into real-time systems via REST APIs and Kafka.
Senior AI / ML Developer
Prolific
May 2020 - Apr 2022 (1 year 11 months)
Built NLP pipelines with Hugging Face Transformers and FastAPI inference APIs using ONNX Runtime; implemented automated MLOps pipelines and model optimizations for scalable deployment.
Machine Learning Developer
YourCareerFair
Mar 2018 - Apr 2020 (2 years 1 month)
Delivered customer analytics dashboard SPA with resilient API integrations and introduced smoke/e2e testing to reduce QA cycles; built reusable UI components and server-side data features.
Python / Django Developer
ScreamingBox
Apr 2014 - Dec 2017 (3 years 8 months)
Developed microservices and REST APIs, implemented asynchronous Kafka/Redis pipelines for real-time ingestion, and created AI-powered recommendation features with testing and Docker-based environments.
Education
Degrees, certifications, and relevant coursework
University of Texas at San Antonio
Master of Science, Computer Science
2011 - 2013
Completed a Master of Science in Computer Science with coursework and projects focused on advanced algorithms, machine learning, and systems.
University of Texas at San Antonio
Bachelor of Science, Computer Science
2007 - 2011
Earned a Bachelor of Science in Computer Science covering core programming, data structures, and software engineering principles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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