Muneeb Anwar

Architected a multi-provider LLM engine with automatic failover, powering 17+ AI capabilities. Designed and shipped production RAG pipelines and owned the FastAPI/Django backend for a multi-tenant deployment.

Led design and delivery of agentic AI systems with LangChain and LangGraph. Architected LLM applications with RAG and fine-tuned Transformers for domain-specific tasks.

Engineered real-time computer-vision systems with PyTorch, OpenCV and MediaPipe. Deployed ML/DL models behind Flask REST APIs and owned data preprocessing and evaluation pipelines.

Built and shipped ML/DL models with Python, PyTorch and OpenCV, exposed via Flask REST APIs with monitoring and structured logging. Designed reusable data pipelines for feature extraction and augmentation.

Delivered end-to-end machine-learning and computer-vision solutions for independent clients. Built NLP systems including a fine-tuned BERT semantic classifier and developed real-time CV applications.

Pursued a Bachelor of Science in Software Engineering.

Completed Intermediate in Computer Science.

Completed certification in Python for Data Science.

Completed certification in Feature Engineering for Machine Learning.

Completed certification in Data Analysis with Python.