Faheed Khan

Spearheaded the backend development of a comprehensive car dealership management system using Django, Django REST Framework, and Python; designed robust RESTful APIs for vehicle inventory, customer data, sales pipelines, and service records. Engineered scalable data architecture with PostgreSQL and MongoDB; implemented asynchronous messaging with RabbitMQ and Kafka; containerized with Docker, established CI/CD pipelines, and implemented API testing practices. Developed and deployed a RAG chatbot for internal knowledge management using OpenAI API, LangChain, and Pinecone to provide instant answers from hundreds of documents. Ensured security through secure coding practices and regular pentesting; contributed to Linux-based deployment and network security.

Developed an NYC taxi demand prediction model using machine learning; applied regression (Linear Regression, Random Forest, XGBoost) and evaluated with MAE/RMSE; leveraged SQL, NumPy, Pandas, Matplotlib, and scikit-learn for data processing and modeling.

Gained experience with AWS Sagemaker, S3 and EC2; completed a case study on ENGIE illustrating how AWS helps reduce equipment malfunction and store petabytes of company data.