Abdallah Nait Abdallah

Abdallah Nait Abdallah Morocco — - —-linkedin.com/in/abdallah-nait — github.com/anaitabd — naitabdallah.dev Professional Summary Backend & Full-Stack Engineer skilled in Python (Django REST), Java (Spring Boot), and React/TypeScript. Delivered 40% faster APIs, 60% automation gains, and production-grade AI systems using LangChain, SentenceTransformers, NVIDIA LLMs, and RAG pipelines. Passionate about scalable architectures, microservices, and building reliable backend solutions that bridge AI with real-world applications. Core Competencies Languages & Frameworks: Python, Django REST Framework, Java (Spring Boot), JavaScript/TypeScript, React, Node.js AI & RAG: LangChain, LLMs (NVIDIA DeepSeek R1), SentenceTransformers (all-MiniLM-L6-v2), Vector DB (Chroma, FAISS), Prompt Engineering, RAG Pipelines Cloud & DevOps: AWS (Lambda, S3, Bedrock), Docker, GitHub Actions, CI/CD, OAuth, JWT, Monitoring, Health Checks Data: PostgreSQL, MongoDB, Redis — Modeling, Indexing, Pagination, Query Optimization Practices: REST API Design, Microservices, Clean Architecture, Testing (pytest, Jest), Agile/Scrum Professional Experience NTT Data — Software Engineer Jun 2024 – Present — Remote • Designed and shipped Java Spring Boot REST APIs powering enterprise web platforms; improved API latency by 40% via async processing and caching. • Collaborated with Angular teams to deliver secure integrations (JWT/OAuth, CORS), reducing integration bugs by 30%. • Contributed to Agile sprints through code reviews, test coverage, and mentorship of junior engineers. WE ARE ANTS — Backend Developer (Contract) Dec 2023 – Mar 2024 — Remote • Built a cloud-native document pipeline using AWS Lambda & Bedrock LLM APIs, automating chatbot and slide generation, cutting manual work by 60%. • Enhanced data throughput by 25% via task parallelization and optimized S3 I/O with structured observability logs. • Developed secure REST APIs for React dashboards with consistent schema validation and standardized error handling. Freelance / Project-Based — Software Engineer 2023 – 2024 • Delivered AI chatbots (React + Django REST + LangChain) using SentenceTransformers embeddings and FAISS/Chroma vector search for semantic Q&A. • Built a Movie Recommendation App (React + Node.js + MongoDB) achieving 90% retrieval accuracy and boosting engagement by 35%. Mail Agent — Automation & Email Systems Jan 2023 – Oct 2023 • Automated 50k+ daily email verifications using Python (SMTP/IMAP) and DNS validation (SPF, DKIM, DMARC), reducing runtime by 70%. • Improved reliability and observability with structured logging and alerting systems, decreasing failure incidents. innov ds — Frontend Developer Intern Jul 2021 – Dec 2021 • Created reusable React + TypeScript UI components for inventory management, reducing bug reports by 25%. • Integrated frontend with Spring Boot APIs, improving data consistency and error resilience. 1 Selected Projects Django RAG Chatbot with NVIDIA LLM + FAISS + OCR Full-Stack AI Project — 2025 Tech Stack: Python, Django REST, FAISS, Tesseract OCR, LangChain, SentenceTransformers (all-MiniLM-L6-v2), NVIDIA LLaMA API • Built a document-aware assistant supporting PDF/DOCX/PPTX/XLSX/TXT ingestion with OCR (Tesseract) and semantic vector indexing. • Implemented RAG pipeline (retrieval → generation) using LangChain and NVIDIA LLMs with source citation for answer transparency. • Designed streaming chat endpoint (/api/chat/) and structured configuration for reproducible deployments. E-Learning Platform with AI Tutor (React + Django REST + RAG) Freelance — 2025 • Shipped a LangChain-powered AI tutor using Chroma vector DB, SentenceTransformers embeddings, and NVIDIA DeepSeek R1 integration. • Developed secure DRF APIs for chat, knowledge ingestion, and session history with full structured logging. • Built a responsive React + TypeScript SPA with JWT auth, protected routes, and chatbot UI integrated via Vite proxy. Movie Recommendation App React + Node.js + MongoDB Vector Search • Implemented semantic similarity search using Hugging Face embeddings; achieved 90% precision in retrieval. • Improved UX and user retention by integrating dynamic recommendation refresh logic. Education ENSA Fès — Bac+5 (Master’s Equivalent), Software Engineering Sup’Management — Bachelor’s Degree, Software Engineering OFPPT — DTS, IT Development Languages Arabic (Native) French (Fluent) English (Fluent) 2 -