About Adel Ishak
French
Native or bilingual
English
Fluent
Experience
- OutlierAI Training Specialist – Software Engineering & Alignment (RLHF)TECHFebruary 2026 - Today (6 months)Paris, FranceActions:•LLM Model Evaluation:Supervise and compare the performance of different model iterations on complex software development tasks within real open-source codebases.•Alignment Engineering (RLHF):Act as a "Senior Reviewer" to provide critical training signals, evaluating the logical relevance, error handling, and architectural maturity of generated solutions.•Accuracy and Factuality Audit:Verify the truthfulness of model knowledge (dates, library versioning, security standards) and analyze the root causes of hallucinations or technical reasoning errors.Results:Improved Training Signal:Direct contribution to reducing technical regressions in future Claude versions through expert and nuanced justifications.•Code Quality Optimization:Teaching parameterized testing patterns and optimized data structures, going beyond simple style suggestions to achieve "ready-to-merge" quality.Technical Environment:LLM Evaluation, RLHF (Reinforcement Learning from Human Feedback),Prompt Engineering, Python, Open-source Codebases, Human-in-the-loop,Fact-checking.
- AlphormAI ConsultantEDUCATION AND E-LEARNINGOctober 2025 - Today (10 months)Paris, France
Actions:
•Design generative AI training programs centered around real business use cases, aiming to prepare learners for technical business challenges.•Develop comprehensive educational projects (RAG, autonomous agents), including the simulation of a recruitment assistance agent that automates the candidate selection process.Results:
Successfully delivered training, generating excellent feedback from learners (Link to training: none).Technical Environment:
Python, FastAPI, JS, LangChain, CrewAI, ChromaDB, Streamlit - Airbus Operations SASData ScientistAVIATION AND AEROSPACEMarch 2025 - September 2025 (6 months)Toulouse, France
Actions:
•Assist flight test engineers in resolving a critical and time-consuming business task: post-failure diagnostics.•Model a business ontology and knowledge graph to structure technical documentation, automating the detection of in-flight anomalies to prevent failures and accelerate diagnostics.•Deploy a multi-agent system (Google ADK) to automate complex cross-referencing between flight logs and technical documentation.•Develop an interactive interface (React, Flask) to integrate human expertise (Human-in-the-loop) in the real-time supervision and adjustment of the multi-agent system's rules.•Industrialize software solutions on the Google Cloud Platform (GCP) environment.Results:
Reduced engineers' analysis time by 40%, accelerating decision-making on actions to be taken.Technical Environment:
Google ADK, Vertex AI, LLMs (Gemini), NLP Pipelines, Autonomous Agents, Agent Orchestration, Python, Flask, React.js, node.js, REST API, Ontologies, Knowledge Graphs, Unstructured Data Structuring, Google Cloud Platform (GCP), Cloud Run, Docker, CI/CD, IAM, Secret Manager.
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Education
- Master's Degree in system and service for IOTGustave Eiffel University2025
- Engineering Degree in Computer ScienceNational School of Computer Science2024
Certifications
- NVIDIA DLI Python / Data ScienceNVIDIA2023
- Fundamentals of Deep LearningNVIDIA2023