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I build data and AI infrastructure across financial services, investment management, education, and compliance for enterprises and startups. My work spans data pipelines, agentic AI, data warehousing, data modeling, MLOps, backend software engineering, and cloud infrastructure across multiple engagements. Outside of my day-to-day, I'm deep in the weeds of how AI coding agents are changing the way engineers build software. I love experimenting with the latest advances in AI and new tools the week they drop, and sharing what I learn through talks and community events!…I build data and AI infrastructure across financial services, investment management, education, and compliance for enterprises and startups. My work spans data pipelines, agentic AI, data warehousing, data modeling, MLOps, backend software engineering, and cloud infrastructure across multiple engagements. Outside of my day-to-day, I'm deep in the weeds of how AI coding agents are changing the way engineers build software. I love experimenting with the latest advances in AI and new tools the week they drop, and sharing what I learn through talks and community events!

Kyle Nathan G. Naranjo

Data Scientist, AI Engineer, Back-End Developer, +3

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I build data and AI infrastructure across financial services, investment management, education, and compliance for enterprises and startups. My work spans data pipelines, agentic AI, data warehousing, data modeling, MLOps, backend software engineering, and cloud infrastructure across multiple engagements. Outside of my day-to-day, I'm deep in the weeds of how AI coding agents are changing the way engineers build software. I love experimenting with the latest advances in AI and new tools the week they drop, and sharing what I learn through talks and community events!…I build data and AI infrastructure across financial services, investment management, education, and compliance for enterprises and startups. My work spans data pipelines, agentic AI, data warehousing, data modeling, MLOps, backend software engineering, and cloud infrastructure across multiple engagements. Outside of my day-to-day, I'm deep in the weeds of how AI coding agents are changing the way engineers build software. I love experimenting with the latest advances in AI and new tools the week they drop, and sharing what I learn through talks and community events!

Available to hire

I build data and AI infrastructure across financial services, investment management, education, and compliance for enterprises and startups.

My work spans data pipelines, agentic AI, data warehousing, data modeling, MLOps, backend software engineering, and cloud infrastructure across multiple engagements.

Outside of my day-to-day, I’m deep in the weeds of how AI coding agents are changing the way engineers build software. I love experimenting with the latest advances in AI and new tools the week they drop, and sharing what I learn through talks and community events!

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Engineer II at Thinking Machines

August 1, 2024 - Present

Own backend feature development across 10+ interconnected microservices for an investment data platform at a large Singaporean investment holding company, integrating data from vendor platforms (Sustainalytics, PitchBook, Bloomberg, MSCI) to support deal discovery, due diligence, and portfolio monitoring. Built backend services and data pipelines with FastAPI, Dagster, and Kubernetes; performed data processing on Snowflake handling terabytes of data. Iterated on Snowflake Cortex AI agent workflows with the Knowledge Graph team for enterprise document intelligence, enabling large-scale document extraction, contextual querying, and portfolio data analysis using OpenAI and Snowflake Cortex. Led data product initiatives including daily SCV pipeline consolidating ~15M records from 4 enterprise systems into ~7M unique customer keys; built probabilistic record linkage with Splink; developed Next Best Product recommendations across 12 product types and 4 customer segments; spearheaded infrastr

Backend Software Engineer at Ingenuity Software

January 1, 2022 - July 1, 2024

Co-authored and published IEEE paper on AIComprehend, an adaptive reading comprehension platform using a PFA-based ML model (79% accuracy, 66% AUC). Built and deployed full-stack Django application to production, supporting a 1-month controlled study where students achieved improved test scores.

Research Associate at Electrical and Electronics Engineering Institute, UP Diliman – Ubiquitous Computing Lab

August 1, 2022 - November 1, 2023

Co-authored and contributed to IEEE work on AI-assisted reading comprehension platforms; supported research under Prof. Nestor Tiglao, including building experiments and demonstrations in a university lab setting.