Hey there! Iβm Usama, a 3rd-year MBBS student and a CS student at Harvard CS50, as well as a full-stack developer, machine learning enthusiast, and freelancer. My journey blends the worlds of medicine and technology, driven by a passion for leveraging AI and software development to innovate in healthcare and beyond.
I thrive at the intersection of code, creativity, and data, building applications and systems that solve real-world problems. Whether itβs developing seamless web experiences, diving into machine learning, automating workflows, or exploring advancements in medical AI, Iβm always ready to tackle the next big challenge. π
- Frameworks: TensorFlow, PyTorch, Scikit-learn
- Techniques: Predictive Analytics, Natural Language Processing (NLP), Computer Vision
- Tools: Pandas, NumPy, OpenCV, Hugging Face
- Frontend: React, Next.js, Tailwind CSS, TypeScript
- Backend: Node.js, Express, Django, Flask
- Full-Stack Frameworks: Next.js, Remix
- Cloud Platforms: AWS, Google Cloud Platform (GCP), Vercel, Netlify
- CI/CD: GitHub Actions, Jenkins, CircleCI
- Containerization: Docker, Kubernetes
- Databases: MongoDB, PostgreSQL, Firebase, Redis
- Data Pipelines: Apache Airflow, Apache Kafka
- Big Data: Apache Spark, Hadoop
- Version Control: Git, GitHub, GitLab
- Testing: Jest, Cypress, Pytest
- Automation: Selenium, BeautifulSoup
Built a conversational AI chatbot using NLP and TensorFlow for seamless customer support.
π View Project
Developed a full-stack e-commerce app with React, Node.js, and MongoDB, featuring real-time inventory management.
π View Project
Created an interactive dashboard using D3.js and Plotly to visualize complex datasets for business insights.
π View Project
Iβm always excited to collaborate on innovative projects, contribute to open-source, or brainstorm ideas. Whether youβre building the next big thing or need a hand with your project, letβs connect and create something amazing together!
- Email: kusamakhan1234@gmail.com
- LinkedIn: usama-linkedin
- Portfolio: My Portfolio
I once built a machine learning model that could predict the weather with 90% accuracy using only 10MB of training data! Itβs proof that creativity and resourcefulness can outperform brute force. π§ β¨
βThe best code is the code you donβt have to write.β β Jeff Atwood