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I’m Iftima Sendi, an AI Engineer and Master’s student in Business Informatics based in Budapest, Hungary. I have a strong foundation in machine learning, data analysis, and backend AI integration, and I enjoy building end-to-end ML systems, including data preprocessing, model training, API deployment, and AI-powered applications. I am passionate about LLM systems, applied machine learning, and production-ready AI solutions. I collaborate with cross-functional teams to translate real-world problems into robust AI-powered solutions, and I continuously explore new techniques to improve reliability, scalability, and user impact.…I’m Iftima Sendi, an AI Engineer and Master’s student in Business Informatics based in Budapest, Hungary. I have a strong foundation in machine learning, data analysis, and backend AI integration, and I enjoy building end-to-end ML systems, including data preprocessing, model training, API deployment, and AI-powered applications. I am passionate about LLM systems, applied machine learning, and production-ready AI solutions. I collaborate with cross-functional teams to translate real-world problems into robust AI-powered solutions, and I continuously explore new techniques to improve reliability, scalability, and user impact.

Iftima Sendi

AI Engineer, Data Scientist, Full Stack Developer, +4

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I’m Iftima Sendi, an AI Engineer and Master’s student in Business Informatics based in Budapest, Hungary. I have a strong foundation in machine learning, data analysis, and backend AI integration, and I enjoy building end-to-end ML systems, including data preprocessing, model training, API deployment, and AI-powered applications. I am passionate about LLM systems, applied machine learning, and production-ready AI solutions. I collaborate with cross-functional teams to translate real-world problems into robust AI-powered solutions, and I continuously explore new techniques to improve reliability, scalability, and user impact.…I’m Iftima Sendi, an AI Engineer and Master’s student in Business Informatics based in Budapest, Hungary. I have a strong foundation in machine learning, data analysis, and backend AI integration, and I enjoy building end-to-end ML systems, including data preprocessing, model training, API deployment, and AI-powered applications. I am passionate about LLM systems, applied machine learning, and production-ready AI solutions. I collaborate with cross-functional teams to translate real-world problems into robust AI-powered solutions, and I continuously explore new techniques to improve reliability, scalability, and user impact.

Available to hire

I’m Iftima Sendi, an AI Engineer and Master’s student in Business Informatics based in Budapest, Hungary. I have a strong foundation in machine learning, data analysis, and backend AI integration, and I enjoy building end-to-end ML systems, including data preprocessing, model training, API deployment, and AI-powered applications. I am passionate about LLM systems, applied machine learning, and production-ready AI solutions.

I collaborate with cross-functional teams to translate real-world problems into robust AI-powered solutions, and I continuously explore new techniques to improve reliability, scalability, and user impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Arabic

Fluent

English

Advanced

French

Advanced

Spanish; Castilian

Beginner

Work Experience

Final Year Project – Agentic AI for Retail Decision-Making at VisShop

February 1, 2025 - June 30, 2025

Developed an agentic AI system to analyze customer behavior data and autonomously suggest store layout and product placement optimizations. Integrated computer vision insights from YOLOv8 object detection and video stream processing to feed real-time decision-making. Created advanced heatmap visualizations highlighting high-traffic zones, dwell patterns, and product engagement to guide AI-driven recommendations. Built ETL pipelines and dashboards to provide actionable insights, enabling data-driven, automated retail decisions.

Research Internship – Sousse Mechanics Laboratory at Sousse Mechanics Laboratory

July 1, 2024 - September 30, 2024

Developed a posture analysis application using pose estimation and computer vision to assess musculoskeletal disorder (MSD) risks in occupational settings. Implemented automated REBA scoring system with machine learning to quantify ergonomic risk levels and predict high-risk postures. Created interactive dashboards in Streamlit to visualize risk assessments and communicate ergonomic recommendations.

Research Intern at Sousse Mechanics Laboratory, Tunisia

July 1, 2024 - September 1, 2024

Developed a posture analysis prototype using pose estimation techniques for ergonomic risk assessment. Implemented automated scoring logic to evaluate musculoskeletal disorder (MSD) risk levels. Performed data preprocessing and analysis using Pandas and NumPy. Built simple dashboards to visualize posture risk scores.

Driver Drowsiness Detection System at ENISo (Academic Project)

January 1, 2024 - May 1, 2024

Built a real-time driver monitoring system detecting signs of drowsiness using facial landmarks. Implemented eye aspect ratio and head pose analysis to detect fatigue indicators. Tested the prototype on Raspberry Pi to evaluate real-time edge inference feasibility.