Khawla Alaoui

AI Engineer

https://talent.gravityer.com/khawla-alaoui

Key Strengths

Strong foundational knowledge in AI and LLMs, including Agentic Workflows (LangGraph, MCP), RAG, and Prompt Engineering.
Practical experience with high-speed inference using Groq (Llama 3.3 70B) for complex AI applications like Text-to-SQL and RAG pipelines.
Experience in developing ML agents for anomaly detection and time-series forecasting using Scikit-learn and Prophet.
Proficiency in backend development with Python (Django, FastAPI) and Java (Spring Boot), essential for integrating AI models into scalable applications.
Familiarity with MLOps and observability tools like LangSmith for monitoring LLM traces and optimizing prompts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate is pursuing a double degree in Computer Science and Applied Artificial Intelligence, demonstrating a strong commitment to the field. Their project diversity, ranging from conversational AI to route optimization and image classification, indicates adaptability and a broad interest in AI applications. The roles held, particularly 'Conversational AI Engineer' and 'AI & Full-Stack Developer', align well with an 'AI Engineer' target role. However, the experience is relatively short-term (internships/junior roles), which might require additional mentorship in a senior-level team.

Soft Skills & Operational Fit

The candidate's resume indicates a proactive approach to learning and applying advanced AI concepts in practical scenarios. The description of multi-agent architectures and integration of various AI/ML components suggests an ability to work on complex, interconnected systems. The focus on observability with LangSmith also points to an understanding of operational best practices in AI development. However, without psychometric test results, a comprehensive assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.

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About

AI Engineer & Full-Stack Developer with a strong focus on building intelligent, scalable applications. Expert in integrating Large Language Models (LLMs) with modern web architectures using Python (Django/FastAPI) and Spring Boot. Specialist in Agentic AI (LangGraph, MCP) and Data-Driven solutions (RAG, Text-to-SQL, Predictive Analytics). Currently completing a European double degree and a final-year internship. Actively seeking junior or remote opportunities in AI, backend, or full stack development.

Top Skills

LanggraphRagPrompt EngineeringFastapiJava Spring Boot

Education

Université Côte d'Azur

Master in Applied Artificial Intelligence

October 1, 2025 – September 1, 2026

Moroccan School of Engineering Sciences EMSI

Engineering Degree in Computer Science

October 1, 2021 – September 1, 2026

Lycée Hassan II

Bachelor of Experimental Sciences · Physics Stream

October 1, 2020 – September 1, 2021

Experience

RED

Conversational AI Engineer

March 1, 2026 – July 1, 2026

India

REVEY

AI & Full-Stack Develope

October 1, 2025 – March 1, 2026

India

C2M

Mobile Developer

July 1, 2025 – March 1, 2026

India

Key Strengths

Strong foundational knowledge in AI and LLMs, including Agentic Workflows (LangGraph, MCP), RAG, and Prompt Engineering.
Practical experience with high-speed inference using Groq (Llama 3.3 70B) for complex AI applications like Text-to-SQL and RAG pipelines.
Experience in developing ML agents for anomaly detection and time-series forecasting using Scikit-learn and Prophet.
Proficiency in backend development with Python (Django, FastAPI) and Java (Spring Boot), essential for integrating AI models into scalable applications.
Familiarity with MLOps and observability tools like LangSmith for monitoring LLM traces and optimizing prompts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit