Tools I actually use

Stack

Two lists, no fluff. Things I've shipped on GitHub — the rows below link to real repos, go check. Things I run at work — production stuff I can't open-source, but happy to talk through.

/ Live on GitHub

Stuff I've shipped publicly

Spring AI · MCP · Java

RAG-SpringAI · MCP-SpringAI · MCP-Time-Tool

RAG pipelines

DocMate · RAG-SpringAI

trip-planner-Agent · Chatbot-Mini

NLP & Transformers

text-summarizer-BART · Text-Summarization-T5 · resume-parser

Computer Vision

Car-pose-Recognition — CNN + FastAPI

Classical ML & forecasting

Chronic-Kidney-Disease · House-Price · Brent-Oil-Forecasting

CI/CD pipelines

CI-CD-Mini-Project — Java pipeline

R · statistical modeling

Seed-Analysis — variety classification

Python · Jupyter · FastAPI

Across most of 24 public repos

/ Behind closed doors

Things I run at work

AWS — SageMaker, S3, EC2, EKS

Wevioo (NTT DATA prototype) · D2D Analytics

MLOps — Docker, Kubernetes, GitLab CI/CD

Wevioo · D2D — multi-environment deploys

LangChain · LlamaIndex

D2D — parliamentary RAG at 95% classification accuracy

RoBERTa fine-tuning

Silver Brain — 1M+ German legal records, +15% downstream accuracy

Groq · MCP in production

Qualipro QHSE — translation, AI assistant, audit agents

/ Paper trail

Certifications

Fundamentals of Deep Learning

NVIDIA DLI

Certified

Building Transformer-Based NLP

NVIDIA DLI

Certified

AI for Anomaly Detection

NVIDIA DLI

Certified

Computer Vision for Industrial Inspection

NVIDIA DLI

Certified

National Engineer Degree — Data Science

ESPRIT School of Engineering · Early 2025

Degree

Higher Education — Maths & Physics

Tunis Preparatory Engineering Institute · 2021

Degree