ECEmanuel Ceballos
@emanuelceballos
Senior AI/ML Software Engineer with a focus on scalable solutions.
United StatesWhat I'm looking for
I am a Senior AI/ML Software Engineer with over 10 years of experience in building scalable, production-grade AI systems and full-stack applications. My expertise lies in Python, FastAPI, and TensorFlow, with a strong focus on large language models (LLMs), LangChain, and cloud-native deployments. I am known for my ability to improve automation and accelerate ML operations lifecycles, achieving efficiency gains of 25–60% in various projects.
Throughout my career, I have successfully developed innovative solutions such as a Retrieval-Augmented Generation (RAG) chatbot that improved internal support efficiency by 60% and a real-time quality inspection pipeline that enhanced QA throughput by 35%. My experience also includes managing model versioning and deployment pipelines using MLflow, which streamlined experimentation and reduced time-to-production by 40%. I thrive in remote-first environments and am passionate about leveraging AI to drive impactful results.
Experience
Work history, roles, and key accomplishments
Senior AI/ML Engineer
INVOKE Inc.
May 2020 - May 2025 (5 years)
Developed a Retrieval-Augmented Generation (RAG) chatbot using LangChain, OpenAI, and Redis vector store, which improved internal support efficiency by 60%. Constructed a real-time quality inspection pipeline for manufacturing clients using OpenCV, FastAPI, and Docker, reducing manual inspections and improving QA throughput by 35%.
Senior Python Full Stack Engineer
ScaleFactor
Sep 2017 - Apr 2020 (2 years 7 months)
Engineered a financial forecasting platform utilizing TensorFlow and Streamlit, achieving over 90% accuracy in revenue predictions and providing real-time dashboards for stakeholders. Created RESTful APIs for NLP and computer vision applications using FastAPI, spaCy, and PyTorch, integrated into enterprise systems to handle thousands of daily inference requests.
Software Developer
O9 Solutions, Inc.
Jun 2013 - Aug 2017 (4 years 2 months)
Architected a custom e-commerce platform with Django, React.js, and PostgreSQL, deployed on AWS (EC2, S3), increasing sales conversion rates by 20% through improved UI performance and UX enhancements. Spearheaded the development of a real-time order management system utilizing Vue.js, Express.js, and MongoDB, containerized with Docker, optimizing order tracking by 40% and inventory precision.
Education
Degrees, certifications, and relevant coursework
UDUniversity of Texas at Dallas
Bachelor's Degree, Computer Science
2009 - 2013
Completed a comprehensive Bachelor's Degree in Computer Science. The curriculum covered fundamental principles of computing, software development, and algorithms, preparing for a career in technology.
Availability
Location
United StatesAuthorized to work in
Salary expectations
Social media
Job categories
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