EMMANUEL_ARO_/>|

// Lagos, Nigeria (Open to Global Remote) · 09073318795

EMMANUELMOBOLAJIARO

Software Engineering Nerd · Systems · Platforms · Applied AI · LLMs

I ship systems.

I don't just build features — I architect systems. Senior Full Stack Engineer shipping distributed platforms, Agentic AI pipelines, and production-grade infrastructure that holds under load. At my core, I'm simply a problem-solving nerd driven by innovation — deeply passionate about my craft and absolutely in love with what I do.

// ENG.DASHBOARDSystems Online
Repos
65+ public
Years
6+ in stack
Stack
Django Ninja · Next.js · TS
Now
Geod AI · LunarTech
Open to
Senior / Staff roles
Based
Lagos, NG (Global Remote)
AvailabilityOpen · Global Remote
// PHILOSOPHY

// WHAT I BELIEVE

I don't just build
features.
I build systems.

I build systems, not just features. Every line of code I write is a decision about architecture, scale, and ownership.

The through-line across everything I've shipped — legal AI, GPU pipelines, enterprise platforms — is the same: clean domain-driven design, defensible API surfaces, and infrastructure that holds under demanding production workloads.

Six years in. Seven companies. Four continents. Still the most curious person in the room.

01

Problem first.

I don't open an IDE until I understand the system boundary, the failure mode, and the non-negotiable constraint. The right solution is invisible — it's the one where the problem simply stops existing.

02

Systems, not features.

A feature is a UI decision. A system is a contract. Every API I design, every schema I model, every pipeline I ship is built to be extended by someone I haven't met yet — running load I haven't seen yet.

03

Ship. Then improve.

Production is the only environment that tells the truth. I bias toward shipping early and iterating fast — but I never ship without knowing exactly what I'll measure and what I'll fix first.

PRECISIONOWNERSHIPVELOCITYCRAFTDISTRIBUTED SYSTEMSZERO EXCUSESCLEAN ARCHITECTURETRUTH IN METRICSDOMAIN-DRIVEN DESIGNPRODUCTION-GRADEGLOBAL TALENTLAGOS → WORLD·PRECISIONOWNERSHIPVELOCITYCRAFTDISTRIBUTED SYSTEMSZERO EXCUSESCLEAN ARCHITECTURETRUTH IN METRICSDOMAIN-DRIVEN DESIGNPRODUCTION-GRADEGLOBAL TALENTLAGOS → WORLD
01.// ABOUT

A bit about me.

Experience

0+

Years in Full-Stack Engineering

Repositories

0+

Public GitHub repos

Companies

0+

Teams & organisations served

Continents

0

Remote work across the globe

Systems Shipped

0+

Production systems delivered

Uptime SLA

99.9%

Track record in production

I operate end-to-end as a Senior Full Stack Software Engineer across the Python (Django/Django Ninja) and TypeScript (Next.js App Router) ecosystems. Currently engineering AI systems at LunarTech — building Agentic RAG pipelines, legal document processing APIs, and LLM routing infrastructure — while independently shipping Geod AI, my own sovereign AI workspace product.

I care about clean domain-driven design, defensible API surfaces, and infrastructure that holds under demanding production workloads. Whether it's a 9-layer self-hosted legal AI stack, a GPU video processing pipeline on Modal, or a real-time WebRTC collaboration platform — the through-line is always the same: I build systems, not just features.

Currently buildingGeod AI · Rosendahl @ LunarTech
02.// STACK

Tools that ship my work.

Backend & APIs

The core of everything I ship.

  • Node.js
  • Django Ninja
  • Django
  • Python
  • PHP
  • REST
  • JWT Auth
  • Laravel
MasteryFluentApplied

Frontend & UI Systems

Pixel-perfect to production.

  • Next.js (App Router)
  • React
  • JavaScript
  • TypeScript
  • Tailwind CSS
  • Shadcn/UI
MasteryFluentApplied

Data Layer

Relational, serverless, and in-memory.

  • PostgreSQL
  • MySQL
  • SQLite
  • Supabase
MasteryFluentApplied

Infrastructure & DevOps

Containerised, cloud-native, CI/CD-first.

  • Docker
  • AWS
  • CI/CD
  • Git
  • Postman
  • Linux
MasteryFluentApplied

AI / ML & Applied Research

Applied research that runs in production.

  • Scikit-learn
  • TensorFlow
  • OpenCV
  • Pandas
  • NumPy
  • NLP
  • Computer Vision
  • Malware Analysis
MasteryFluentApplied

LLMs & Agentic AI

Agentic orchestration at every layer.

  • LangChain
  • LlamaIndex
  • LangGraph
  • Ollama (Local LLMs)
  • Agentic RAG
  • OpenRouter
  • Gemini AI
  • WhisperX
MasteryFluentApplied
03.// EXPERIENCE

The systems I've shipped.

  1. 08

    May 2026 — Present

    Austin, TX, US (Remote)

    Current

    LunarTech

    Software Engineer — AI Systems & Platform Engineering (Apprenticeship)

    Impact: Shipped Rosendahl (Legal AI), Dark Phoenix (GPU pipeline) & QA'd Octavia — db optimisation recommendations adopted team-wide for thousands of concurrent users.

    • Contributing to Rosendahl, LunarTech's flagship legal AI platform — a self-hosted agentic workspace engineered as 'Claude Code for law' — building backend services and Agentic RAG pipelines (LlamaIndex / LangGraph) that structure legal cases with fully evidence-linked, formally verified outputs across 121+ active ECHR case workspaces.
    • Designing legal document processing APIs using LexNLP and Blackstone (spaCy) for automated named-entity extraction, citation parsing, and admissibility-risk scoring; enforcing a four-tier confidential AI model routing strategy (OpenRouter / Claude / Ollama local) ensuring privileged legal evidence never exits the local inference lane.
    • Delivering Dark Phoenix, LunarTech's AI podcast video clipper — engineering the end-to-end GPU pipeline on Modal (TalkNet active-speaker detection → WhisperX transcription → Gemini moment selection → ffmpeg clip render), YouTube ingestion, provider-agnostic S3 storage (Backblaze B2), and a branded watermark burned directly into exported MP4s.
    • Conducting comprehensive QA testing and performance analysis on Octavia (octavia.lunartech.ai) — LunarTech's AI dubbing platform capable of translating video, audio, and subtitles into 60+ languages with 99% lip-sync accuracy and 10ms latency via voice cloning; identifying critical database bottlenecks under multi-user concurrency load and delivering optimisation recommendations that are formally adopted by the engineering team, directly enabling the platform to scale for thousands of simultaneous users processing real-time translations without degradation.
    • Resolving critical production deployment failures spanning Modal GPU image builds, WhisperX/setuptools dependency conflicts, scenedetect version pinning, and Next.js RSC compiler violations — bringing the platform from broken to fully deployed on Vercel and Modal.
    • Working extensively with the local LLM stack — Ollama, LangChain, LangGraph, and open-weight models (Qwen3, Llama, DeepSeek) — to support privacy-first, self-hosted inference across LunarTech's AI-native product suite.
  2. 07

    Oct 2024 — Present

    Lagos, NG

    Current

    Boxonia Blueprint

    Software Engineer (Platform & Ecosystem Architecture)

    Impact: Built Boxonia's entire digital presence from zero — single-handedly brought a Nigerian 360° film production & talent studio fully online, from infrastructure to production launch.

    • Conceived, designed, and engineered Boxonia's entire digital presence from zero — the company had no web infrastructure before this engagement. Single-handedly brought a Nigerian 360° film production & talent management studio (boxonia.com) fully online, delivering a production-grade platform that handles story development, talent management, and project showcasing for a globally distributed creative operation.
    • Currently architecting and maintaining the full platform ecosystem in Python — story development workflow engine, talent directory, project portfolio showcase, and Spotlight section — purpose-built for African storytelling at scale across film, TV, and commercials, consolidating workflows across 5+ distributed production teams.
    • Continuing to evolve the talent-booking and cross-border coordination system — enabling zero-friction client onboarding and operating at an international production cadence with a 40% reduction in scheduling overhead.
    • Maintaining and scaling relational schemas and secure RESTful APIs with a frontend architected for cinematic visual impact, ensuring high-availability data synchronisation between production units under strict SLA requirements as the company grows.
  3. 06

    Feb 2026 — Jun 2026

    Lagos, NG

    Tech4mation (NativeTalk)

    Senior Software Developer, Platform Engineering

    Impact: Shipped NativeTalk CRM end-to-end (frontend + backend) with PMs — reset company delivery velocity and formally awarded by leadership for customer impact.

    • Led full-stack engineering on NativeTalk CRM (nativetalk.io/crm) — an enterprise-grade omnichannel command center handling tasks, tickets, leads, and AI reporting for large businesses — working directly with Product Managers to ship high-impact features at a velocity that reset the company's delivery benchmark.
    • Designed and implemented customer-facing CRM features (ticket management, lead pipeline views, AI reporting dashboards) across the full stack — Django Ninja on the backend, Next.js App Router on the frontend — ensuring every release went out clean, tested, and with zero critical defects.
    • Led aggressive bug-triage cycles directly tied to live customer SLA commitments, resolving critical production issues faster than any prior engineering cycle — work formally recognised and rewarded by leadership for measurable impact on customer satisfaction.
    • Architected TaskForge Pro, a high-throughput internal team-management platform powered by Django Ninja, Next.js (App Router), and PostgreSQL with decoupled microservice boundaries and strict typed API contracts.
    • Hardened platform security posture with robust JWT authentication, RBAC, and automated Postman API regression suites, achieving 99.9% endpoint reliability prior to staging promotion.
    • Standardized engineering environments via containerized Docker workflows, eliminating drift and cutting new-engineer onboarding time from 3 days to under 2 hours.
  4. 05

    Aug 2024 — Mar 2026

    Birmingham, AL, US

    Ornament & Crime

    Frontend Engineer (Shopify Developer)

    Impact: Rebuilt Shopify Plus storefront from scratch — 48% faster load time, 31% checkout conversion uplift, zero downtime migration.

    • Architected a full Shopify Plus storefront rebuild from legacy theme to a componentised Liquid 2.0 + Tailwind CSS system, slashing page load time by 48% and directly attributable to a 31% uplift in checkout conversion over the following quarter.
    • Engineered custom Shopify app integrations (inventory sync, loyalty tiers, fulfilment webhooks) via the Shopify Admin GraphQL API, eliminating an entire category of manual operations and saving 20+ staff hours per week.
    • Led the brand’s migration to headless-compatible architecture, setting the engineering foundation for future Next.js storefront decoupling without a single day of downtime.
  5. 04

    Sep 2025 — Jan 2026

    Lagos, NG

    Bincom Dev Center

    Full Stack Developer

    Impact: Drove frontend performance gains (35% faster FCP) and database optimizations while mentoring the next wave of tech talent.

    • Joined Bincom Dev Center — an incubator and catalyst for tech excellence — to drive the development of innovative tech solutions while simultaneously nurturing the next generation of engineering talent.
    • Architected high-performance, SEO-optimized frontend interfaces using Next.js (App Router) and React. Leaned heavily into Server Components and smart data-fetching patterns to slash First Contentful Paint (FCP) by 35%.
    • Got my hands dirty in the database layer: overhauled relational MySQL schemas and refactored heavily-used SQL queries to eliminate latency spikes and speed up complex data retrieval by 20% under peak load.
    • Took on a mentorship role, guiding junior developers through the trenches of TypeScript best practices, modular component design, and solid Git workflows to elevate the whole team's delivery velocity.
  6. 03

    Apr 2024 — Aug 2024

    Ibadan, NG

    Cyberbuddies.com

    Frontend Engineer

    Impact: Shipped production-ready frontend for an AI-powered Business Operating System™ at early stage — UI patterns became the foundation of the product's visual language.

    • Joined CyberBuddies (cyberbuddies.com) — an AI-powered Business Operating System™ for SMBs that provides AI business partners (AI CFO, AI COO, AI Executive Team™) to help leaders automate operations, understand performance, and make better decisions — as a Frontend Engineer at a pivotal early stage of the product.
    • Built and iterated on high-quality frontend UI pages and components for the CyberBuddies platform, translating complex AI product concepts into clean, intuitive, and accessible interfaces using modern frontend practices.
    • Contributed meaningfully to the engineering team's delivery velocity at an early-stage phase — shipping production-ready frontend code, participating in code reviews, and establishing UI patterns that became the foundation for the product's visual language.
    • Supported the migration of production workloads to AWS infrastructure, applying optimization strategies that reduced cloud operating costs by 18% while maintaining 99.9% uptime SLA targets.
  7. 02

    May 2023 — Feb 2024

    California, US (Remote)

    SafeSpace.org Association

    Operations QA & Automation Engineer

    Impact: Automated review pipelines in Python/Django — 30% throughput gain, 50% fewer data errors.

    • Designed and deployed Python and Django automated review pipelines that replaced manual verification loops, increasing organizational operational throughput by 30% with complete deterministic auditability.
    • Instituted rigorous data quality and automated testing protocols in containerized Docker environments, reducing data-entry error rates by 50% and establishing company-wide benchmarks for system integrity.
  8. 01

    Sep 2022 — Mar 2023

    Brussels, BE (Remote)

    Fiatci.io

    Lead Full Stack Engineer

    Impact: The humble beginning — chosen to lead a 7-engineer team within months of joining, at a young age, through pure passion and dedication. Shipped the company's first ever commercial product.

    • Where it all began. Joined Fiatci.io as a young developer early in my career — and within just a few months, through relentless passion, obsession with the craft, and an unshakeable work ethic, was hand-picked by the company to lead an engineering team. That moment changed everything: it proved that raw talent and dedication speak louder than years on a resume, and it ignited a fire that has driven every career decision since.
    • Stepped into the Lead Full Stack Engineer role at a formative stage of my career — taking full ownership of a 7-person cross-functional engineering team, driving the end-to-end architecture, development, and production deployment of the company's flagship platform, and delivering the first successful commercial product launch in company history.
    • Owned full technical direction across frontend, backend, and DevOps infrastructure — establishing code review standards, CI/CD release strategies, and zero-downtime production cutover protocols that set the engineering baseline for the team going forward.
    • This experience at a young age gave me the confidence, the leadership instinct, and the deep sense of accountability that defines how I operate today — a global talent who was built for responsibility.
04.// FEATURED WORK

Things I've built.

AI/ML · 2026Featured

Geod — Sovereign AI Workspace

Architected and shipped Geod — a sovereign AI workspace that unifies real-time team collaboration (channels, DMs, huddles) with one-click access to every frontier AI model. Built four proprietary AI engines (Quantum, Deep Reasoner, Cognitive Synthesis, Neural Vision), an autonomous sandboxed code runtime, and a multi-modal OCR pipeline. Zero vendor lock-in by design.

  • Next.js
  • TypeScript
  • Neon SQL
  • Upstash Redis
  • LiveKit
  • LLMs
  • WebRTC
AI/ML · 2026Featured

Rosendahl — Legal AI Platform (LunarTech)

Engineered backend services and Agentic RAG pipelines for Rosendahl, LunarTech's self-hosted legal AI platform — a 'Claude Code for law' operating environment that structures ECHR legal cases like codebases. Built legal document processing APIs (LexNLP, Blackstone/spaCy) for named-entity extraction, citation parsing, and admissibility-risk scoring. Enforced a four-tier confidential AI model routing strategy (OpenRouter / Claude / Ollama local) across 121+ active case workspaces.

  • Python
  • LLMs
  • Agentic RAG
  • LangGraph
  • LlamaIndex
  • Ollama
  • Next.js
  • PostgreSQL
  • Docker
AI/ML · 2026Featured

Dark Phoenix — AI Podcast Clipper (LunarTech)

Delivered LunarTech's AI podcast video clipper end-to-end: engineered the full GPU processing pipeline on Modal (TalkNet active-speaker detection → WhisperX transcription → Gemini AI moment selection → ffmpeg clip render), YouTube ingestion via yt-dlp, provider-agnostic S3 object storage (Backblaze B2), and a branded watermark burned directly into exported MP4s. Resolved 8 critical production deployment failures across Modal, WhisperX, Vercel, and Next.js to bring the platform from broken to fully shipped.

  • Python
  • Modal (GPU)
  • WhisperX
  • TalkNet
  • Gemini AI
  • Next.js
  • Supabase
  • ffmpeg
  • AWS S3
Web · 2026

Nativetalk Support Operations Dashboard

Architected a centralized ticket-management dashboard for the Nativetalk enterprise support stack — tracking customer inquiries, managing agent assignment, and surfacing real-time completion-rate metrics in a single operator view. Built around strict typed API contracts and role-based access control (RBAC).

  • Next.js
  • TypeScript
  • REST APIs
  • Vercel
Web · 2025

Boxonia Blueprint Digital Ecosystem

Architected and developed a production digital platform for global film production that centralizes story-development pipelines and talent-management workflows across distributed production teams. Shipped an automated talent-booking layer that removed cross-border coordination friction for high-profile international clients.

  • Python
  • REST APIs
  • Web Platform
AI/ML · 2024

Enterprise Malware Detection & Classification Engine

Designed and deployed a Python-based security analytics platform applying supervised machine learning to real-time endpoint malware classification. Structured with automated feature extraction and retraining pipelines for evolving threat corpora.

  • Python
  • Scikit-learn
  • Security ML
  • Pandas
AI/ML · 2024

NLP Misinformation & Named Entity Extraction Engine

Shipped end-to-end NLP pipelines in Python leveraging statistical embeddings and tokenization primitives to categorize unstructured text, extract critical named entities (NER), and detect disinformation in high-noise social data streams.

  • Python
  • NLP
  • Information Retrieval
AI/ML · 2024

Clinical Oncology Risk Prediction Model

Developed an explainable, high-accuracy diagnostic classification model trained on clinical patient datasets for proactive risk assessment. Emphasizes reproducible feature engineering and interpretable outputs for clinical decision support.

  • Python
  • Scikit-learn
  • Pandas
  • Clinical Data
AI/ML · 2023

Real-Time Computer Vision Attendance Platform

Engineered a high-speed biometric attendance system integrating webcam image streaming with OpenCV computer-vision pipelines. Automated real-time facial capture, normalization, and identification against a secured relational store.

  • PHP
  • JavaScript
  • OpenCV
  • MySQL
Web · 2023

Browser-Native Image Processing Suite

Engineered a browser-native image manipulation suite with real-time filter compositing, cropping, and export pipelines. Implemented high-performance HTML5 Canvas processing with a stateless transformation flow.

  • HTML
  • CSS
  • JavaScript
  • Canvas API
Web · 2023

Real-Time Translation Interface

Architected a low-latency translation single-page application integrating enterprise translation REST APIs. Designed around a deterministic input/output state model and lightweight, zero-dependency component rendering.

  • JavaScript
  • REST APIs
  • CSS
Web · 2023

Geospatial Real-Time Weather Tracker

Built a geospatial weather tracking web app integrating browser geolocation services and external meteorological REST APIs. Implemented reactive conditional rendering for forecast states with optimized data fetching.

  • JavaScript
  • REST APIs
  • Geolocation