Description

Machine Learning Engineer with 4+ years of experience and a solid back-end development foundation. I specialize in building end-to-end machine learning solutions—from data collection and processing to model deployment—delivering real business impact. Proficient in Python and well-versed in designing robust, scalable infrastructures that support intelligent systems. I bridge the gap between data science and engineering to turn insights into actionable, production-ready tools.

Langues

Anglais
Bilingue ou natif
Albanais
Bilingue ou natif

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

Resume.io
Machine Learning Engineer
janvier 2024 - Aujourd'hui (2 ans et 5 mois)
• Designed and built a job search and personalized recommendation system, matching users to relevant roles using
profile data, skills, and behavioral signals.
• Developed a personalized AI agent for CV improvement, capable of analyzing, scoring, and generating targeted
feedback to tailor resumes for specific job descriptions.
• Implemented LLM-powered CV parsing pipelines to extract structured data from unstructured resumes with high
accuracy and consistency.
• Fine-tuned and deployed large language models for resume analysis, content optimization, and job–candidate
alignment tasks.
• Built an AI-based interview preparation tool, generating role-specific questions, feedback, and improvement
suggestions based on job requirements.
• Developed a conversational chatbot to guide users through the platform and provide contextual career assistance.
• Created an AI simulation chatbot for executives and HR teams, enabling exploration of different organizational
structure and workforce optimization scenarios.
Python LLM Natural Language Processing (NLP) RAG Pytorch
Ritech International AG
Machine Learning Engineer
janvier 2021 - janvier 2024 (3 ans)
• Designed and implemented a 24/7 real-time computer vision monitoring system for large-scale warehouse
operations across multiple independent sites.
• Built a scalable camera ingestion service connecting to 100+ cameras per site, handling continuous video streams
with configurable reporting frequencies.
• Architected a queue-based inference pipeline to process high-throughput video data using multiple ML models,
including classification, object detection, segmentation, and face recognition.
• Trained, validated, and optimized custom computer vision models tailored to site-specific environments and
operational requirements.
• Deployed predictive models to production with performance monitoring and drift detection, enabling proactive
maintenance and continuous improvement.
• Used Weights & Biases (W&B) to track experiments, manage model versions, and analyze training metrics across
multiple runs.
• Collaborated closely with engineering and product teams to integrate ML services into production systems and align
solutions with business needs.
Software Development Academy Albania
DS/ML Instructor
janvier 2022 - janvier 2024 (2 ans)
Taught the following modules:
• Python for Data Science
• Classical Machine Learning
• Neural Networks
• Deep Learning (main focus on: Computer Vision)