Building intelligent AI systems, real-time computer vision models, and scalable ML applications
- Developing computer vision systems using YOLO (v8–v11) for detection, OCR, and surveillance
- Building RAG-based chatbots for proposals, admissions, and document intelligence
- Training machine learning models in healthcare (oral cancer & disease prediction)
- Creating AI voice assistants & call agents using LLMs and speech pipelines
- Advanced Deep Learning (CNNs, Transfer Learning, Optimization)
- NLP & Generative AI (RAG, embeddings, LLM orchestration)
- MLOps & Deployment with FastAPI, Streamlit, Docker
- Real-time inference on edge & low-latency systems
- AI/ML projects (Computer Vision, NLP, Healthcare AI)
- Real-world problem-solving using data & machine learning
- Open-source contributions and research-driven AI tools
- Startup-focused AI products & automation systems
AI / ML: PyTorch, TensorFlow, Scikit-Learn, OpenCV, YOLO
NLP & GenAI: RAG, LLM APIs (Groq, OpenRouter), Embeddings
Backend: Python, FastAPI, Django, Flask
Data: Pandas, NumPy, SQL, MongoDB
Deployment & Tools: Streamlit, Docker, Git, Postman, Jupyter
Databases: MySQL, PostgreSQL, SQLite, MSSQL
- 📧 sajjadxdev@gmail.com
- 💻 GitHub: @sajjadxdev
- 📂 Check out my pinned projects below 👇
AI/ML Engineer with a strong foundation in computer science and applied machine learning.
Experienced in building end-to-end AI solutions — from data preprocessing and model training to deployment and real-world integration. Passionate about impact-driven AI, continuous learning, and building systems that actually work in production.
