Hamza Safwan

Technical Skills

Languages: Python, SQL, HTML, CSS, JavaScript
Tools & Technologies: Django, Flask, React, Node, Tensorflow, Pytorch, LangChain, PowerBI,Airflow, Spark, Git, Docker, AWS
Problem-Solving: LeetCode, Codeforces, AtCoder

LLMs, Langchain, FastAPI, React, Vector & Graph Databases, Docker

Working on a Generative AI web app for automated exam grading using NLP, LLMs, and advanced RAG techniques (Graph RAG, Query Expansion, Merged Retrieval, etc.)
Developing a full-stack system with Django (backend) and React (frontend), for seamless AI-driven grading workflows.
Leading a 4-member team, managing the codebase, project execution, and cross-functional coordination to deliver a high-impact AI solution.

Python, LLMs, LangChain, RAG, Django

Developed a RAG-powered contract review system using LangChain, and enabling interactive contract Q&A with accurate retrieval and generation.
Focused on evaluating and refining RAG pipelines, enhancing response quality, and improving contract analysis efficiency.

Tensorflow, OpenCV, Transfer Learning, VGG16, Streamlit

Developed a CNN-based landmark classification model using a subset of Google Landmarks Dataset to predict image locations for social media tagging.
Optimized custom and transfer learning models, developing a user-friendly prediction interface for real-world applications.

TensorFlow, Keras, NLP, RNN, Transformers

Worked on Machine Translation using RNNs, GRUs, and Encoder-Decoder architectures.
Implemented word embeddings, self-attention mechanisms, and sequence-to-sequence models.

Tensorflow, OpenCV, CNN, Flask

Developed a deep learning model using Convolutional Neural Networks (CNNs) to detect brain tumors from MRI images.
Deployed the model via a Flask web application, providing an accessible interface for medical image analysis.

Data Analysis, Business Intelligence, DAX

Created Power BI dashboards for data analysis and reporting of different problems.
Worked on sales trends, customer churn, and road accident analysis, etc. to improve decision-making.

APIs, Python, Airflow, ETL, AWS

Pipeline Architecture

Built an AWS-based data pipeline for processing Spotify data, using AWS Glue for ETL and storing optimized Parquet files in S3.
Enabled fast querying with Amazon Athena and created Power BI visualizations for data-driven insights.

APIs, PostgreSQL, Python, Airflow, Spark, ETL, AWS

Developed a data engineering workspace for a music streaming service, implementing data pipelines using PostgreSQL, Apache Cassandra, AWS Redshift, Apache Spark, and Apache Airflow.
Designed and optimized ETL processes to handle large-scale user activity data, enabling efficient analytics and reporting.

Python, Flask, SQL, REST APIs, React

Designed and developed a comprehensive system streamlining hospital operations and enhancing patient care.
Implemented efficient management modules for doctors, patients, rooms, beds and other hospital resources reducing administrative burdens and improving resource allocation efficiently.

Python, Django, SQL, REST APIs, React

Developed a full-stack eCommerce web app using Django and React, featuring user authentication, cart management, payments, and feedback functionality.
Implemented admin controls for product management (add, edit, delete) and streamlined order processing for a fully functional shopping experience.

Python, Django, SQL, REST APIs, React

Created a full-stack food business application, centralizing operations and elevating customer experiences.
Implemented innovative features for efficient management, streamlining bookings, menus, pricing, and delivery services, boosting sales and reducing operational costs.

Feel free to reach out to me through the following channels:
hamzasafwan082@gmail.com
linkedin.com/in/hamzasafwan