ola.studio

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Houston, Texas, USA

Selected Work

Building AI products backed by strong machine learning foundations.

My work spans AI product development and applied machine learning. From building end-to-end AI applications to developing predictive models, I focus on turning technical capabilities into practical solutions that solve meaningful problems.

Featured Products

Portfolio Pulse portfolio intelligence prototype

📈 AI Product / Product Builder

Portfolio Pulse

Problem: Investors often have portfolio updates, market signals, and company information spread across different places, making it difficult to quickly understand what needs their attention.

I designed and built Portfolio Pulse, an AI-powered portfolio intelligence prototype that helps investors bring company updates, market signals, and internal context into one place. The experience includes portfolio monitoring, company views, an attention queue, market signals, forecasts, and reporting.

Product takeaway: Building Portfolio Pulse helped me think about the full decision-making workflow: what information matters, how it should be prioritized, and how AI can help surface useful signals without overwhelming the user.

AI Product Design Cursor v0 Rapid Prototyping Vercel Product Analytics Synthetic Data
Live Prototype

Demo environment using synthetic company and market data.

Live product OpsSignal operational intelligence dashboard with anomaly detection, service health, and an AI investigation assistant Open product ↗

🚨 Featured AI Product

OpsSignal

Operational Intelligence Platform

17 Anomalies surfaced
92% System health
AI Investigation assistant
Overview Upload Data Anomalies Investigations Services Reports

Problem: Engineering teams often need to detect operational issues quickly and investigate incidents before customer impact grows.

What I built: An operator dashboard that turns telemetry into a morning briefing: upload data, detect anomalies, inspect affected services, and ask an AI investigation assistant for likely causes and next steps.

Product takeaway: The product stays useful only if the operator can move from signal to action. I designed around that loop: what is happening, which services are hit, and what to do next — with Isolation Forest detection and LLM-backed investigation still doing the underlying work.

TypeScript React Python FastAPI OpenAI Isolation Forest Docker Vercel
Explore live product ↗ Source Code

Product UI for the live prototype. Demo telemetry until a CSV analysis is completed.

3D contact envelope illustration

Contact me

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Houston, Texas, USA