DO.
CV

Lagos, Nigeria — Software Engineer · Mobile · Desktop · AI

Daniel
Oluremi

I engineer software that ships: mobile apps that make it to the stores and survive there — payments, realtime marketplaces, social platforms — desktop apps running AI at the edge, and the machine-learning work behind an education product: fine-tuned open-weight models, a published dataset, training infrastructure in the making.

Apps shipped to production
5 — all featured below
Downloads across stores
6k+
Degree
B.Sc. CS, first-class — best in department
Currently
AgeOfAI (SumeruEdutech) & Eleven36
See the work doluremi19@gmail.com

Selected work

Five apps, built to last.

Hands holding a phone running Balancc’s Obligations screen — monthly obligations, targets, and spending categories

Balancc

Mobile App Developer · 2025 — 2026

A financial-insights app that connects to bank accounts, categorizes transactions, and turns raw spending into decisions. On a small team, I built significant parts of the Flutter app — a codebase spanning 13 feature modules and ~87,000 lines of Dart.

  • Background sync pipeline — WorkManager plus foreground services keep accounts fresh without draining the battery
  • Home-screen widgets and a dual charting stack (Syncfusion + fl_chart) for the Insights module
  • Shorebird over-the-air patching, biometric lock, and jailbreak detection in production

FlutterRiverpodWorkManagerFirebaseShorebird OTA

balancc.app ↗

Farm dashboard with weather, season summary, and a satellite view of the field Farm fields list with search and add-new-farm Adding a new farm — satellite mapping with location details Satellite crop-health imagery with a health index scale Farm activity log with dated entries and costs

Farm Monitor

Mobile App Developer · 2024

A remote agro project management and monitoring platform built for Africa — real-time farm visibility for farmers, financiers, and stakeholders. I built farmer-side features in the Flutter app.

  • Offline-first field data — a sync layer of ~20 dedicated syncers over SQLite records harvests, sales, labour, and logistics without connectivity
  • Satellite field mapping with Google Maps and crop-health monitoring dashboards
  • Localized in English, Hausa, Igbo, and Yoruba, with face-verification onboarding

1,000+ downloads · 4.3★ on Google Play

FlutterSQLiteGoogle MapsProviderSentry

Google Play ↗ farmmonitor.africa ↗

Errandaar home screen with errand options and top-rated errandees Finding trusted errandees near you Tracking an errand’s progress in real time on a map Connecting with verified errandees Errandaar wallet with secure payment options

Errandaar

Mobile App Developer at Bakkaz · 2025

A two-sided errand marketplace — people who post errands and runners who complete them. I built core parts of the Flutter client: one codebase, two personas, realtime everything in between.

  • Realtime errand posting, chat, and order tracking over Socket.IO and raw websockets, alongside FCM push
  • Client-side AWS Signature V4 request signing for direct media uploads
  • Face-verification KYC (Regula SDK) and Google Maps live location through 37 shipped builds

5,000+ downloads · live on both stores

FlutterSocket.IOGoogle MapsAWS SigV4FCM

Google Play ↗ App Store ↗

RecenthPost onboarding — 24-hour categorized posts Feed screen making connections across the globe Daily challenges screen User profile with rated reactions Realtime chat conversation

RecenthPost

Mobile App Developer at Bakkaz · 2024

A 24-hour categorized social platform where every post expires and the timeline stays current by design. I built much of the Flutter app — feeds, live streaming, realtime chat, and voice notes.

  • Live-streaming module plus Socket.IO chat running side by side
  • Voice messages end to end: recording, waveform rendering, playback
  • Offline caching with SQLite and biometric app lock

1,000+ downloads · 5.0★ on Google Play

FlutterLive streamingSocket.IOflutter_soundSQLite

Google Play ↗

DripoolPay bills purchase home screen with wallet balance Airtime top-up with discount pricing Referral earnings screen Transaction history with downloadable receipts Wallet top-up via bank transfer

DripoolPay

Built solo · 2024

A bills-and-wallet fintech app — airtime, data, subscriptions, meter payments. The one I built entirely alone: every screen, pixel-perfect to its UI design, hardened for real money.

  • Custom PIN keypad, biometric unlock, and encrypted secure storage
  • Transaction alerts via FCM with local notification fallbacks
  • 15 releases shipped to production

4.7★ on Google Play

FlutterRiverpodlocal_authSecure storageFCM

Google Play ↗

In the works — at Eleven36, since Dec 2025

Cloutt

A creator platform nearing launch: live streaming with AR face filters — DeepAR piped into Agora RTC through a custom bridge — a virtual-gift economy with wallet top-ups and withdrawals, realtime chat and presence over Socket.IO, and a full in-app video editing pipeline. I build core features across its ~93,000 lines of Dart.

FlutterAgora RTCDeepARSocket.IOFirebase

SecuRent

A rental platform for the Nigerian market: tenant vetting and KYC, rent payments and disputes, PDF rent receipts — and landlord–tenant messaging end-to-end encrypted with the Signal Protocol, on custom Hive-backed key stores. I build core features across its ~94,000 lines of Dart.

FlutterSignal ProtocolPaystackRiverpodHive

AI engineering

Models, datasets, and the infrastructure under them.

Not API wrappers — fine-tuning with held-out evals, a published dataset, and training infrastructure built for reproducibility.

Teaching a 1.5B model step-by-step math

Built a tutoring dataset from NCERT textbooks (PyMuPDF extraction) merged with Orca-Math and MetaMathQA, then QLoRA fine-tuned Qwen2.5-Math-1.5B-Instruct — 4-bit, LoRA r=32 across attention and MLP projections. GSM8K and MATH were excluded from training and used only as held-out benchmarks — a baseline-vs-finetuned eval on GSM8K and a held-out eval on MATH.

PyTorchUnslothQLoRATRL/PEFTGSM8K evals

A Yoruba dataset the community can use

Scraped and cleaned Yoruba Wikipedia through the MediaWiki API into an academic QA dataset, published it on Hugging Face, and fine-tuned Qwen2.5-1.5B on it — low-resource-language NLP for a language 40+ million people speak.

MediaWiki APIDatasetsQLoRAHugging Face

Dataset on Hugging Face ↗

Six SLMs, and the rails they’ll train on

SchoolExl runs on Sumeru — a suite of six small language models distilled for education, from a 100 MB embedded model to a 2B research model, built to run offline at the edge. I’m building the training infrastructure beneath them: digest-pinned reproducible GPU containers, dataset provenance contracts with schema-drift guards in CI, and spot-instance checkpoint-resume. Work in progress.

DockeruvHugging Face stackCIRunPod

The Sumeru suite ↗

Open source

Plugins other builders can use.

Four Flutter plugins on pub.dev, born from the AR live-streaming work in Cloutt — camera to AR to RTC, packaged.

Archive

Also built.

Experience

Where I’ve worked.

  1. Dec 2025 — now

    Eleven36

    Software Engineer — building Cloutt (creator platform with AR-filtered live streaming) and SecuRent (rental platform with Signal-encrypted messaging), both nearing launch.

  2. Aug 2025 — now

    AgeOfAI (SumeruEdutech)

    Software Engineer — the SchoolExl mobile app, its offline EdgeAI desktop platform, and training infrastructure for the six-model Sumeru SLM suite.

  3. May 2025 — Jan 2026

    Balancc

    Mobile App Developer — financial-insights app; background syncing, charts, home-screen widgets, OTA patching.

  4. May 2024 — Jun 2025

    Bakkaz Information & Technology

    Mobile App Developer — shipped RecenthPost and Errandaar to the stores, faithful to their designs.

  5. Feb — Jun 2024

    Farm Monitor

    Mobile App Developer — farmer-facing app for an agricultural finance and monitoring platform.

Portrait of Daniel Oluremi in a white shirt against amber curtains

About

The short version.

I graduated top of my Computer Science class at the Federal University of Agriculture, Abeokuta — first-class honours, best graduating student in the department. I’ve been programming for over five years: web first, then deep into Flutter across mobile and desktop, and now the machine-learning stack — from DeepLearning.AI’s ML specialization straight into fine-tuning real models on real GPUs.

Most of my shipped work happened on teams — designers, backend engineers, founders — where I built significant parts of apps people rely on daily (and one fintech app entirely alone). What I care about is the unglamorous last mile: background services that don’t drain batteries, payment flows that don’t lose money, evals that don’t lie. Away from a keyboard — chess, teaching, and listening more than I talk.

Contact

Let’s build something
that ships.

Open to full-time roles and select freelance work — remote or Lagos.

doluremi19@gmail.com WhatsApp ↗