Chamel Nadir BouachaCV
A concise web summary of my public CV. Download the PDF for the complete version.
Chamel Nadir Bouacha, AI researcher and software engineer
Current direction: learning and evaluating representations and retrieval systems that preserve temporal validity over longitudinal healthcare data, where semantically relevant evidence may be chronologically invalid.
- Junior Full-Stack Developer, Momentum Worldwide · July 2026 – present
- Research collaboration, Télécom SudParis · June 2026 – present
Research experience
Research collaboration
Continuing research collaboration on WaTE after the internship.
Research Intern
Research internship on temporal retrieval-augmented generation for healthcare.
Research Intern, Automatic Code Optimization
Built a pipeline that converts PyTorch models into MLIR intermediate representations using the Linalg and TOSA dialects.
Papers & theses
WaTE: Continuous Distributional Temporal Representations for Text Encoders
Accepted short paper, 38th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2026).
Building a Temporal Retrieval-Augmented Generation System for Healthcare Applications
ESI Algiers and Télécom SudParis, defended 22 June 2026.
Exploring Temporal Retrieval-Augmented Generation: Methods, Evaluation, and Open Challenges
ESI Algiers, defended 22 June 2026.
Professional experience
Junior Full-Stack Developer
Built and deployed a Python/FastMCP server converting existing repository business logic and skills into MCP tools, resources, and prompts for internal operations users.
Agentic AI Intern
Architected and deployed a modular multi-agent analytics pipeline on GCP Cloud Run that processed scheduled Google Analytics data into behavioural reports and UI/UX recommendations, with CI/CD through Cloud Build.
Education
State Engineer Degree and Academic Master
Ingénieur d'état en Informatique and Master Académique en Informatique, both awarded June 2026. Speciality: Systèmes Informatiques et Logiciels (SIL).
AI Trainee
Research projects
TempMedBench
Temporal RAG for Healthcare
Temporal annotation pipeline
Selected engineering
IRCHAD — Indoor Navigation for the Visually Impaired
FLY Page — AI Landing Page Generator
Transformer from scratch
HTPL Compiler
Teaching & leadership
Technical workshops
Training more than 100 people.
Co-Lead
DevFest Algiers 2024 (200+ participants, two technical tracks).
Microsoft Learn Student Ambassador
Cloud Skills Challenge for 22+ international participants.
Awards
1st place — DataHack Datathon, 3rd Edition (CSE, Club Scientifique de l'ESI)
1st place — Samsung Innovation Campus Capstone Project (Samsung Algeria)
1st place — HAICK26 Datathon (School of AI Algiers)
2nd place — Agentic AI Hackathon (Maystro Delivery)
5th place — DataHack 2.0 Datathon (CSE Club)
2nd place — GDG Hack 1.0 (GDG Algiers)
Certifications
Claude Certified Architect - Foundations (Anthropic) Credential
Deep Learning Specialization (DeepLearning.AI (Coursera))
Machine Learning Specialization (DeepLearning.AI (Coursera))
Building Transformer-Based NLP Applications (NVIDIA)
Languages
- Arabic — native
- English — C1
- French — C1