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AI Engineer with 1+ years in Generative AI, MLOps, and Test Automation.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Platform Engineer specializing in Generative AI Systems and Enterprise MLOps. Expert at architecting autonomous AI agents, designing structural traceability mappings across complex industrial datasets, and deploying production-ready cloud frameworks that decouple cognitive AI processing from deterministic execution logic to maximize safety and scalability.
FST Mohammedia
Engineering Program · Mathematical and Computer Science
August 1, 2023 – June 30, 2026
FST Al Hoceima
DEUST · Mathematics, Computer Science, Physics
August 1, 2021 – June 30, 2023
Stellantis (Global Test & Validation Division)
AI Engineer Intern (LLM Systems & Automation)
February 1, 2026 – Present
India
Capgemini
Software Development & Data Automation Intern
July 1, 2025 – September 1, 2025
India
NextMindz
Data Science / AI Intern (PFA)
April 1, 2025 – June 1, 2025
India
MLOps Pipeline (Credit Scoring)
June 29, 2026 – Present
Built an end-to-end ML pipeline using DVC and MLflow featuring automated data versioning, model tracking, and automated CI/CD deployment pipelines.
Medical Chatbot (RAG)
June 29, 2026 – Present
Developed an optimized semantic search AI assistant leveraging LangChain and vector search, containerized via Docker and deployed on AWS.
AWS Certified Cloud Practitioner
Unknown
June 1, 2026 – Present
OCI Generative AI Professional
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including MLOps pipelines, medical chatbots, and sentiment analysis platforms, shows a broad interest and adaptability to different domains within AI. Their experience in both large corporations (Stellantis, Capgemini) and a startup (NextMindz) suggests flexibility and an ability to thrive in various organizational cultures. The focus on deploying production-ready systems and optimizing costs aligns well with a practical, impact-driven culture. The certifications further indicate a proactive approach to skill development and industry best practices.
Soft Skills & Operational Fit
The candidate's experience at Stellantis demonstrates strong problem-solving skills, particularly in optimizing complex automotive testing processes with AI. Their ability to work with cross-border teams and deliver significant efficiency improvements (90% reduction in test design cycles) indicates strong operational fit and a results-oriented mindset. The development of interactive refinement interfaces and telemetry dashboards also points to a user-centric approach and good communication of technical outcomes.