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chabelbossa/README.md

Chabel Bossa - Backend and Full-Stack Software Engineer with AI systems, automation, and mathematical modeling

Portfolio Email LinkedIn Remote International Profile views


The Short Version

I am Chabel Holdo Bossa, a remote-first Backend & Full-Stack Software Engineer from Benin building production-grade software across web, mobile, desktop, SaaS platforms, automation systems, and AI-powered workflows.

My strongest base is software engineering: TypeScript, NestJS, Spring Boot, React, React Native, PostgreSQL, APIs, product architecture, and real-world delivery.

My AI systems work focuses on connecting backend systems with LLMs, automation, transcription, data workflows, retrieval, evaluation, and applied mathematical reasoning.

I do not just write screens and endpoints. I connect product thinking, clean architecture, data modeling, user experience, and delivery discipline until the system works in the real world.

Give me a messy product problem. I will turn it into flows, APIs, interfaces, data models, automations, and systems people can trust.

Core technology stack


Why People Should Pay Attention

Engineering base Backend and full-stack software engineering with real product delivery across SaaS, dashboards, mobile apps, desktop tools, APIs, payments, and automation.
Backend signal NestJS, Spring Boot, REST APIs, PostgreSQL, authentication, integrations, business workflows, data modeling, and reliable service architecture.
AI systems signal Applied AI, LLM integrations, AI-powered workflows, automation systems, transcription, retrieval, evaluation, and AI backend architecture.
Mathematical edge Mathematical engineering and modeling background, with algorithmic thinking, optimization, operations research, statistics, and stochastic modeling.
Proof of execution Smart Cities Hackathon FRIARE, Cotonou: 3rd Prize, April 2025, with RoadControl, an urban traffic analysis solution.

What I Can Own End-to-End

Area What I ship Tools I use
Product Frontends SaaS dashboards, admin panels, onboarding flows, responsive product UIs, PWAs React, Next.js, Angular, TypeScript, Tailwind CSS
Backends & APIs REST APIs, auth, business logic, payment workflows, messaging systems, integrations Node.js, NestJS, Express.js, Fastify, Java, Spring Boot, Spring Security
Data & Persistence Relational schemas, document models, local storage, offline-ready flows PostgreSQL, MongoDB, MySQL, SQLite, JPA/Hibernate
Mobile & Desktop Cross-platform mobile apps, desktop ERPs, offline-first experiences React Native, Expo, Electron.js, Kotlin, Swift
AI & Automation AI-powered workflows, transcription systems, assistants, structured outputs, automation tools OpenAI, Gemini, Whisper, Python, TypeScript, APIs
Math & Modeling Algorithmic thinking, optimization-oriented reasoning, statistical intuition, modeling for applied problems Python, mathematics, operations research, statistics, stochastic modeling
Delivery & Tooling Git workflows, containers, CI/CD, Firebase/Supabase integrations, deployment pipelines Git, GitHub, Docker, CI/CD, Firebase, Supabase

AI, Data & Mathematical Engineering

I work at the intersection of backend engineering, applied AI, data systems, and mathematical modeling.

I do not use AI as a buzzword. I focus on the engineering work required to make AI useful inside real products: reliable APIs, structured data flows, model integrations, automation, evaluation, monitoring, and business workflows.

Area What I deliver Tools / methods
AI Integrations Connecting AI models to real applications, assistants, transcription workflows, dashboards, and internal tools OpenAI, Gemini, Whisper, Python, TypeScript, APIs
LLM Applications Structured outputs, business assistants, retrieval workflows, automation, and human-in-the-loop systems LLM APIs, prompt design, tool calling, JSON schemas, backend orchestration
Data & Modeling Using data structures, statistical reasoning, and mathematical modeling to support better product decisions PostgreSQL, Python, statistics, optimization, stochastic modeling
AI Systems Engineering Production-ready AI systems with evaluation, reliability, observability, and cost control RAG, evals, logging, queues, monitoring, backend architecture
Mathematical Foundation Connecting software engineering with algorithmic thinking, operations research, optimization, and applied modeling Mathematical engineering, algorithms, operations research, numerical thinking

I am especially strong in roles and projects where backend engineering meets AI:

  • AI-powered SaaS products
  • LLM applications and agentic workflows
  • backend systems for automation
  • data-driven business platforms
  • fintech, payments, risk, and fraud automation
  • product engineering with strong technical ownership

The positioning is deliberate: backend/full-stack ownership with AI systems, automation, and applied mathematical reasoning built into the product architecture.


Selected Work That Shows the Range

Scope What I built Why it matters
Confidential real estate SaaS Product workflows, admin interfaces, backend services, and mobile-friendly user experience Business platform with real users, operational constraints, and production delivery
Confidential pharmacy operations ERP Inventory logic, billing workflows, desktop experience, and offline-ready data handling Operational software where reliability, stock accuracy, and continuity matter
Confidential marketing automation platform Messaging workflows, integrations, campaign automation, and scalable backend flows Automation system designed for high-volume business communication
Confidential fleet management platform Web administration, mobile workflows, and operational dashboards End-to-end platform for managing assets, users, and business processes
Confidential payment workflow integrations Local payment flows, transaction handling, and service integration inside web platforms Payment infrastructure adapted to real market constraints
RoadControl Smart Cities hackathon project for urban traffic analysis Award-winning teamwork, applied problem solving, and civic-tech execution

Most of my serious work is private because it belongs to clients, startups, or active products. I protect client confidentiality: no private screenshots, no client-owned source code, no sensitive technical architecture, and no details that can expose a partner or customer. The public GitHub is the surface. The shipped systems are the proof.


My Engineering Operating System

1. Clarify the product goal before touching the code.
2. Design the smallest architecture that can survive real usage.
3. Build interfaces that feel obvious, fast, and trustworthy.
4. Keep APIs predictable, documented, and easy to extend.
5. Optimize for delivery without sacrificing maintainability.
6. Communicate clearly, especially when the problem is still blurry.

I like software that feels calm on the outside and disciplined on the inside: clean UX, readable code, strong data flow, and architecture that does not collapse when the product grows.


Current Stack Focus

Frontend stack Backend stack Applied AI systems Mobile stack Desktop stack

const chabel = {
  role: "Backend & Full-Stack Software Engineer",
  location: "Benin, building internationally",
  mode: "remote-first",

  core: {
    frontend: ["React", "Next.js", "Angular", "TypeScript", "Tailwind CSS"],
    backend: ["Node.js", "NestJS", "Java", "Spring Boot", "Spring Security", "REST APIs"],
    mobileAndDesktop: ["React Native", "Expo", "Electron.js", "Kotlin", "Swift"],
    databases: ["PostgreSQL", "MongoDB", "MySQL", "SQLite"],
  },

  aiSystems: [
    "LLM integrations",
    "AI-powered workflows",
    "transcription systems",
    "automation",
    "RAG and retrieval systems",
    "structured outputs",
    "AI evaluation",
  ],

  mathematicalFoundation: [
    "algorithms",
    "optimization",
    "operations research",
    "statistics",
    "stochastic modeling",
    "applied AI",
  ],

  loves: [
    "SaaS",
    "clean UX",
    "reliable backend architecture",
    "AI systems",
    "shipping fast",
    "high-agency delivery",
  ],

  positioning:
    "Backend/full-stack engineer with applied AI systems, automation, and mathematical modeling in the architecture.",
};

GitHub Pulse

Chabel Bossa GitHub stats Top languages

GitHub streak


If You Are Hiring, Start Here

I am a strong fit for teams that need someone who can move across the stack while still caring deeply about architecture, product quality, and real-world delivery.

  • You need a backend engineer who can design APIs, business logic, data models, integrations, and reliable services.
  • You need a full-stack engineer who understands frontend, mobile, backend, and product constraints.
  • You need someone who can work on SaaS platforms, dashboards, automation systems, payment workflows, and internal tools.
  • You need an engineer who can contribute to AI-powered products, LLM integrations, automation, and AI systems engineering.
  • You need someone comfortable with remote collaboration, ownership, execution speed, and technical communication.

The best conversations to have with me:

  • Designing NestJS or Spring Boot APIs.
  • Building SaaS products from zero to usable.
  • Creating polished React, Next.js, Angular, or React Native interfaces.
  • Integrating payment systems, messaging tools, dashboards, and business workflows.
  • Connecting AI models to real products through APIs, automation, transcription, and structured workflows.
  • Turning a rough idea into a real product plan.

Connect

If the work above matches what you are building, the fastest path is simple:

What you need Best place to go
Start a conversation Email me directly
See my work and positioning Visit chester-dev.com
Connect professionally Find me on LinkedIn

Email Chabel Portfolio LinkedIn

Respect the craft. Judge the shipped work.

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