Projects
💡 Key Skills
Data Science & Machine Learning Machine Learning (Sklearn) NLP & Generative AI (Transformers, Spacy, NLTK) Computer Vision (TensorFlow, PyTorch, Transformers) Data Visualization (Dash, Gradio, Streamlit, Plotly, Seaborn, Kibana) Python Development (FastAPI, Django) Data Engineering Elasticsearch: Full-text Search and Analytics at Scale Airflow: Workflow Automation and Data Pipeline Management SQL: Database Management and Query Optimization DevOps & Cloud Computing Linux and Bash: Setting up virtual machines and more Git: Versioning, CI/CD, and Collaborative Work AWS: Cloud Computing and Cloud Storage SonarQube CI/CD: Industrialization of IT tools Docker: Containerization of industrial projects Docker-Compose: Container orchestration
Personal Projects
Whisper-LLM-gTTS Description: A voice AI application integrating Text-to-Speech, Speech-to-Text, and Local Language Model technologies for an intuitive and secure offline interface. Skills Needed: AI, Voice Recognition, Software Development Tools & Libraries Used: OpenAI’s Whisper, Google’s TTS, PyTorch, FastAPI, Docker Links: GitHub | Demo RAG QA with LLMs Locally using Llama-index Description: A local application leveraging LLMs for text generation and database interaction, emphasizing secure data handling. Skills Needed: NLP, Data Engineering, Web Development Tools & Libraries Used: Streamlit, OpenAI’s Whisper, LM Studio, SQLite Links: GitHub | Demo Autogen Experiments for Coding Description: A software development process simulation fostering collaboration among agents, powered by Autogen and text generation technologies. Skills Needed: Full Stack Development, Machine Learning, Dockerization Tools & Libraries Used: Autogen, Dolphin-2.2.1-Mistral Model, UML Diagrams, Bash Links: GitHub Dashboard for Analyzing Data of Transaction in Web3 Description: Interface for tracking cryptocurrency whale transactions using Etherscan’s API, Airflow, and a custom UI. Skills Needed: API Integration, Data Visualization, Full Stack Development Tools & Libraries Used: Etherscan API, Airflow, Docker, Uvicorn Links: GitHub | Demo Mask Detection Description: Real-time face mask detection system developed during the COVID-19 crisis using machine learning and image processing techniques. Skills Needed: Computer Vision, Machine Learning, Software Development Tools & Libraries Used: YOLOv3, TensorFlow, Keras Links: GitHub
