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Hi, I’m Wahib MZALI, an AI/ML engineer and Python developer with 4 years of experience in advanced analytics, machine learning, and robust data engineering. I enjoy turning complex data into practical solutions, from predictive models to LLM-powered applications, and I thrive in cross-functional teams to drive business impact.…

Wahib MZALI

Data Scientist, AI Engineer, Web Developer, +2

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Hi, I’m Wahib MZALI, an AI/ML engineer and Python developer with 4 years of experience in advanced analytics, machine learning, and robust data engineering. I enjoy turning complex data into practical solutions, from predictive models to LLM-powered applications, and I thrive in cross-functional teams to drive business impact.…

Available to hire

Hi, I’m Wahib MZALI, an AI/ML engineer and Python developer with 4 years of experience in advanced analytics, machine learning, and robust data engineering.
I enjoy turning complex data into practical solutions, from predictive models to LLM-powered applications, and I thrive in cross-functional teams to drive business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Arabic

Fluent

French

Fluent

English

Advanced

Spanish; Castilian

Intermediate

Work Experience

Data Scientist at AVAXIA

June 1, 2024 - November 6, 2025

Engineered and fine-tuned OpenAI LLM workflows using LangChain and LangGraph, improving response accuracy by 28% through real-time personalization. Built and deployed a chatbot pipeline with Milvus vector DB for retrieval, increasing user engagement by 25% and reducing average response time by 1.2 seconds.

Data Scientist at PAARLY

May 1, 2024 - May 1, 2024

Implemented competitive intelligence tools using machine learning, enhancing market analysis capabilities by 20%. Built an advanced Python scraping solution for e-commerce platforms, extracting product data from 50+ sites. Enhanced data extraction accuracy by 40% and reduced manual data entry by 60 hours per month. Collaborated with the QA team to automate testing processes using Selenium and Pytest, ensuring code quality and minimizing production issues by 20%.

Data Scientist at FIVERR

February 1, 2024 - February 1, 2024

Collaborated with more than 30 clients globally, delivering customized software solutions (Python, machine learning algorithms), resulting in a 98% client satisfaction rate. Delivered over 50 high-quality applications (console, desktop, web) using frameworks like Flask and Django, following specifications and standards. Automated web scraping for 100+ sites, saving clients 20+ hours/week.

Python Developer at 3D MATCHMOVERS

August 1, 2022 - August 1, 2022

Defined and implemented technical requirements for the Bernard Production Engine (Python, PostgreSQL, AWS, MongoDB), reducing operational downtime by 15% within the first quarter of implementation. Redesigned UI using PyQt, leading to a 20% improvement in user satisfaction. Debugged and resolved existing code, identifying and fixing critical bugs that strengthened application stability by 20%. Conducted 50+ code reviews, leading to measurable improvements in maintainability and performance.

Data Scientist Intern at MARMIGNON BROTHERS

November 1, 2021 - November 1, 2021

Engineered an AI-powered English learning app (Python, FastAPI, NLP), boosting retention by 30% and comprehension by 35%. Conducted data cleaning and preparation, improving data quality by 20%. Integrated AI features like speech recognition (>70% accuracy), automatic question generation (30 unique questions/passage), spell check (>90% error detection), and video processing.

Partnerships Manager at Google Developer Groups Manouba

September 1, 2020 - September 1, 2020

Managed partnerships, resulting in a 30% increase in group membership and a 25% boost in event attendance.

AI-Powered Bee Anomaly Detection at ACTIA Engineering Services

March 1, 2020 - March 1, 2020

Deployed a novel anomaly detection system for bee behavior using machine learning, enabling beekeepers to identify and address potential health issues, resulting in 15+ beekeeper adoptions within the first quarter.