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Hello, I'm Benjamin. I'm a backend developer with 4 years of experience. I enjoy building scalable systems that serve many users. My focus is Nodejs.

About me

I started coding at an early age, which gave me the opportunity to explore Full-Stack Development. Over time, I gravitated toward Backend Development, where I found my true passion for building scalable and efficient systems. I enrolled in a coding-focused high school in my country, allowing me to deepen my expertise in Node.js, Spring Boot, and AWS. Along the way, I’ve also gained experience with Microservices, Serverless Architectures, and Cloud Computing.

Recently, I’ve been diving deep into the world of Large Language Models (LLMs) and AI Agents. I’ve worked on integrating LLMs into voice applications and optimizing Small Language Models (SLMs) for edge devices using quantization. I’m particularly fascinated by Retrieval-Augmented Generation (RAG), which enhances AI responses by reducing hallucinations and improving factual accuracy. I love exploring how AI can create more personalized, efficient, and engaging digital experiences.

When I'm not coding, you’ll likely find me playing video games, listening to music, watching movies, or going down internet rabbit holes. I have a strong curiosity for learning new things, and right now, I'm exploring game design—merging my love for technology with creativity. I believe in staying positive and embracing challenges as opportunities to grow.

My projects

Libblio

I worked on the backend of a robust library management system system that helped schools have digitalised libraries

Nodejs
GraphQL
Prisma
Sentry
MySQL

Claire AI

I worked on an AI tutor project designed to help students learn faster through a more engaging and personalized experience. My work involved integrating large language models into voice applications and implementing Retrieval-Augmented Generation (RAG) to minimize hallucinations and ensure accurate, high-quality learning content.

RAG
AI agents
Langchain

Quantaledger

I worked on a project leveraging blockchain technology to enhance traceability in the supply chain. I implemented a private blockchain and integrated it with a Spring Boot backend, ensuring high performance and scalability.

Hyperledger Fabric
Kafka
Spring Boot
Java
Redis

Tello AI

I worked on a project that leveraged Small Language Models (SLMs) to make interacting with USSD codes more convenient. The system processed voice and text inputs in natural language to determine the appropriate USSD codes for a given task. My role involved fine-tuning a small language model on USSD-related data and optimizing it for on-device execution using quantization.

Transformers
Hugging face
Unsloth
SFT
Llama.cpp

My skills

Node.js
NestJS
FastAPI
Fastify
Java
Spring Boot
Go
Gin
Python
Django
TypeScript
JavaScript
React
Next.js
Expo
HTML
CSS
Tailwind
GraphQL
Apollo
PostgreSQL
MongoDB
Prisma
Express
Git
AWS
Docker
Terraform
ArgoCD
Istio
Kubernetes
Blockchain
Smart Contracts
Ethereum
Hyperledger Fabric
Machine Learning
AI
Natural Language Processing (NLP)
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Hugging Face
Quantization
Edge AI
Speech-to-Text
Fine Tuning

My experience

Rwanda Coding Academy

Rwanda

3 years of intensive training in computer science, web development and embedded systems

2022

Backend developer, Libblio

Rwanda

I worked on the backend of a robust library management system system that helped schools have digitalised libraries

2023 - 2024

Contact me

Please contact me directly at example@gmail.com or through this form.