Building reliable backend systems.
Exploring what AI can make possible.
I’m Tejo, a software engineer with a background in backend development and a growing interest in AI/ML. I build APIs, design relational data models, and focus on the reliability and performance that user-facing applications need.
At KeelWorks, I developed 15+ RESTful APIs with Node.js, Express.js, and TypeScript, optimized MySQL schemas and queries, and built reusable middleware for authentication, authorization, validation, and error handling. My work improved API response times by 30%, increased application throughput by 25%, and reduced deployment time by 40%.
I’m bringing that backend foundation to my AI/ML interests through projects in voice interfaces, document retrieval, browser automation, and agent workflows. I’m interested in connecting useful model capabilities to reliable software, with clear validation and human approval where it matters.
Measured improvements in API response times, application throughput, and deployment speed.
Frameworks & libraries TensorFlow, Keras, PyTorch, scikit-learn, Pandas, NumPy, D3.js, Spring Boot, React, Angular, Node.js, Express.js, Sequelize ORM, MySQL, Hadoop, Spark, NLTK, spaCy, Gensim, Transformers, SQLite.
Development tools VS Code, Jupyter Notebook, Google Colab, Tableau, RStudio, KNIME, Unix, Git, Docker, Jenkins, AWS CodePipeline.
Languages Python, Swift, Java, SQL, JavaScript, TypeScript, C, C++, HTML, Scala.
Articles on AI, software, and the engineering that turns ideas into working systems.
AI applications, retrieval pipelines, and agent workflows. Explore the implementation and design decisions behind each project.
Live contribution activity from my GitHub account over the past year.
International Conference on Electronic Circuits and Signaling Technologies.
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