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.
| 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. |
| 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 |
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.
| 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.
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.
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.",
};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.
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 |



