I connect research, architecture, and hands-on engineering to turn AI ideas into useful software.
Currently Software Engineer at IBM
A little about my practiceOpen-source contribution. Research made tangible.
Core contributor
Making retrieval work as a system.
OpenRAG connects Langflow, Docling, and OpenSearch for retrieval-augmented generation. I contribute to retrieval and orchestration, configuration, reproducible environments, and developer documentation.
I connect core retrieval behavior with the supporting developer experience: clear configuration, maintainable patterns, build tooling, and documentation. This is contribution to a shared platform, not sole authorship.
Contributor
Composable AI agents and workflows. I contribute agent systems, MCP integrations, backend components, and testing.
At DataStax and IBM, I have worked on core functionality, component behavior, performance, and testing. I also mentor contributors and collaborate across developers, helping agents, tools, and backend components work together.
Founder & first author
Explainable quantum machine learning. I connect doctoral research with hyperparameter optimization and hands-on software development.
My work spans explainability, backend and interface development, and documentation. The research explores automated model and quantum-circuit configuration, alongside understanding a model’s behavior. The public framework can be inspected and extended.
I work where AI ideas meet real software: agent workflows, retrieval systems, developer tools, and quantum machine learning.
My focus is AI product and solution architecture. I combine research, open-source contribution, and the engineering details that help other people build on the work.
Aug 2025 – Present
Software Engineer
AI product engineering and open-source contribution, with a focus on Langflow core and enterprise-scale use cases.
May 2024 – Aug 2025
AI Engineering Co-op & Intern
Langflow backend components, platform functionality, performance, and testing. Earlier internship in generative AI tools and browser extensions.
From 2022
Doctoral research & teaching
Quantum machine learning, optimization, and information retrieval. Teaching programming, AI, machine learning, and NLP. PhD completed in 2026.
AI Engineering Co-op · Sep 2024 – Aug 2025
AI Engineering Intern · May – Aug 2024
The internship included generative AI toolkit and browser-extension development with React and Plasmo.
Research Scholar · Jan – Jul 2022
Natural language processing with TensorFlow and BERT, including text classification and image-to-text generation.
Co-founder & CTO · Founded 2021
AI tutoring-system architecture and cloud platform development for personalized learning.
Research Fellow · Aug – Dec 2021
Junior Research Fellow · Oct 2020 – Aug 2021
Machine learning for underwater sound classification, and statistical methods for power-consumption anomaly detection.
Machine Learning Developer Intern · Dec 2019 – Jul 2020
NLP and machine learning for career recommendations, with deep-learning deployment on AWS EC2.
Making advanced machine learning easier to experiment with, understand, and teach.
Edwin Jose and A. C. Fong
AI engineering, open-source collaboration,
and research conversations.