05/13/2026 updated
100 % available
Software Developer & AI/ML Engineer
Braganca, Portugal
Only remote
Informatics Engineering, Instituto Politécnico De Bragança, Portugal (3.4 GPA)About me
Welcome to my profile! I am Saba and I would like to help you.
Application Programming Interfaces (APIs)Artificial IntelligenceC++ (Programming Language)Python (Programming Language)Machine LearningJscriptAzure Machine LearningTypeScriptWebDevpandasMachine Learning OperationsReact NativeFront End Software DevelopmentArtificial Intelligence Markup Language (AIML)
AI & Machine Learning
Expertise in building RAG pipelines, applying FAISS for vector storage and retrieval, using Sentence Transformer embeddings, integrating Hugging Face LLMs, and developing ML-powered applications with anomaly detection using Isolation Forest.
Python Development
Strong proficiency in Python for building full-stack ML applications, modular codebases, Streamlit dashboards, and natural-language explanation layers for non-technical users.
Web Development
Solid skills in HTML, CSS, JavaScript (vanilla), responsive design, dynamic DOM manipulation, asynchronous data fetching with Fetch API and JSON parsing, and deployment via GitHub Pages.
JavaScript & Frontend
Building responsive web applications in vanilla JavaScript, consuming REST APIs, and implementing real-time data rendering across desktop and mobile screen sizes.
NLP & Embeddings
Application of NLP techniques, semantic similarity scoring, and embedding-based approaches for tasks such as resume-to-job-description matching and skill gap detection.
Tools & Platforms
Practical experience with Git, GitHub, Streamlit, and REST APIs for version control, deployment, and building interactive data-driven applications.
C++ Programming
Knowledge of C++ as a programming language alongside Python and JavaScript for software development tasks.
Data Visualization & Dashboards
Delivery of interactive Streamlit dashboards enabling dynamic exploration of consumption trends and anomaly results across multiple utility types.
Expertise in building RAG pipelines, applying FAISS for vector storage and retrieval, using Sentence Transformer embeddings, integrating Hugging Face LLMs, and developing ML-powered applications with anomaly detection using Isolation Forest.
Python Development
Strong proficiency in Python for building full-stack ML applications, modular codebases, Streamlit dashboards, and natural-language explanation layers for non-technical users.
Web Development
Solid skills in HTML, CSS, JavaScript (vanilla), responsive design, dynamic DOM manipulation, asynchronous data fetching with Fetch API and JSON parsing, and deployment via GitHub Pages.
JavaScript & Frontend
Building responsive web applications in vanilla JavaScript, consuming REST APIs, and implementing real-time data rendering across desktop and mobile screen sizes.
NLP & Embeddings
Application of NLP techniques, semantic similarity scoring, and embedding-based approaches for tasks such as resume-to-job-description matching and skill gap detection.
Tools & Platforms
Practical experience with Git, GitHub, Streamlit, and REST APIs for version control, deployment, and building interactive data-driven applications.
C++ Programming
Knowledge of C++ as a programming language alongside Python and JavaScript for software development tasks.
Data Visualization & Dashboards
Delivery of interactive Streamlit dashboards enabling dynamic exploration of consumption trends and anomaly results across multiple utility types.
Experience
Professional experience0 - 5 years
Freelancer since2023
Languages
EnglishFluentPortugueseBasic knowledgeGeorgianNative speaker
Project history
Designed and built a RAG pipeline that semantically matches resumes to job descriptions with cosine similarity scoring and automated skill gap detection. Implemented vector storage and retrieval using FAISS with Sentence Transformer embeddings and integrated a Hugging Face LLM to generate plain-English fit explanations. Delivered a full-stack ML application with a Streamlit UI across a modular 5-component Python codebase.
Built an ML-powered application that processed historical water, gas, and electricity consumption data, applying Isolation Forest anomaly detection to flag unusual billing patterns automatically. Developed a natural-language explanation layer translating model-detected anomalies into plain-English reasoning. Delivered the system as an interactive Streamlit dashboard enabling dynamic exploration of consumption trends and anomaly results.
Designed and built a fully responsive personal portfolio website from scratch using HTML, CSS, and JavaScript, showcasing projects, skills, and experience. Implemented a functional contact form, smooth section navigation, and a clean multi-section layout deployed live via GitHub Pages.