OTseun.wtf

Software engineer / AI systems

OluwaseunTanimola

I build the backends and AI layers that keep products reliable—APIs, realtime systems, and adaptive intelligence.

Co-founder at Turinstack

See selected work

Studio · Turinstack

turinstack / studioco-founded

Design studio

Turinstack

A studio for product, systems, and interfaces—where design and engineering ship together.

turinstack.com

Practice

Product design

Interfaces with clear jobs

Engineering

APIs, AI, realtime systems

Systems thinking

From ambiguity to shipped

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01 / Selected work

Things I've shipped.

trex.workspace / realtimews live

Sprint · API surface

Collaboration core

Gemini

Chat

WS

Notify

Queue

Docs

AI

nowWebSocket push · appointment updated
wrkPDF worker · Gemini summary ready
mailNotification worker · digest sent
schScheduler · requisition reminder
01May 2025 — Present

Trex Workspace

Software Engineer

Core platform APIs for projects, agile, and collaboration—chat, notifications, appointments, and settings—with WebSocket updates, background workers, and Gemini-backed document/PDF AI.

APIsWebSocketsWorkersGemini
Ask about this
farm.monitor / africalive

Plot · Cassava · Ogun

Week 14 · flowering stage

GAP ready

NDVI

0.71

Soil H₂O

34%

14-day

Rain+

AI assistant

Delay fertilizer until Thursday—soil moisture rising with the forecasted front.

MonCalendar regenerated · weather shift
WedGAP tip · weed pressure window
FriYield model · weekly forecast ready
03Mar — May 2025

Farm Monitor Africa

AI Engineer

Adaptive farming calendars, GAP advice, and weekly yield prediction from soil, weather, NDVI, and moisture indexes.

OpenAIWeather dataNDVI
Read case studyView live

Featured case study · AI Engineer

Helping farmers see the season ahead.

At Farm Monitor Africa, I built the AI systems that turn soil, weather, and crop signals into practical guidance—assistant, calendar, GAP advice, and weekly yield prediction.

Case 001 · Farm Monitor Africa · Mar — May 2025

farm.monitor / africalive

Plot · Cassava · Ogun

Week 14 · flowering stage

GAP ready

NDVI

0.71

Soil H₂O

34%

14-day

Rain+

AI assistant

Delay fertilizer until Thursday—soil moisture rising with the forecasted front.

MonCalendar regenerated · weather shift
WedGAP tip · weed pressure window
FriYield model · weekly forecast ready
View live Discuss a similar problem

01 · Challenge

Farm decisions were scattered across weather, soil, and season.

Farmers using Farm Monitor Africa needed more than a dashboard—they needed guidance that could keep up as conditions changed. Static schedules and generic advice could not account for soil data, forecasts, and crop stage together.

02 · Intelligence layer

An AI assistant grounded in farming practice.

I designed and built an OpenAI-powered agricultural assistant that turns farm context into clear recommendations, plus a Good Agricultural Practices (GAP) engine for personalized advice on what to do next—tied to real-time weather.

03 · Adaptive calendar

Schedules that regenerate when the weather shifts.

I built a farming calendar generator that adapts to soil data, forecasts, and seasonal change, then wired auto-triggered regeneration when weather fluctuates—so crop plans stay honest instead of going stale.

04 · Prediction

Weekly yield foresight from field signals.

I developed a weekly yield prediction system using historical data, 14-day forecasts, NDVI, and soil moisture indexes—giving farmers an earlier read on how the season is tracking.

OpenAIAI engineeringWeather dataNDVIGAPYield models

02 / A little context

Systems first. Clarity always.

I'm a backend and AI engineer—and co-founder of Turinstack, a design studio where product, systems, and interfaces ship together.

I care about

Reliable APIs, workers that keep HTTP thin, honest data models, and AI that earns its place with real outcomes—not demos.

Stack, lately

TypeScript / Golang / Python
Postgres / Kafka / Redis