Creative and analytical software engineering undergraduate with a passion for technology and a proven track record in data science, machine learning, and software development. Currently advancing my expertise through hands-on roles such as Trainee AI/ML Engineer and academic pursuits in computer science, I excel at leading collaborative projects—from designing AI-driven platforms to optimizing data workflows. Skilled in diverse programming paradigms and modern development tools, I thrive in solving complex problems and fostering innovation through open-source contributions and technical volunteer work. Recognized for achievements in competitive tech challenges and committed to lifelong learning, I aim to leverage my academic rigor and industry exposure to deliver impactful solutions in both professional and community-driven roles.
- Languages & Core: Python, JavaScript/TypeScript, HTML/CSS, SQL, Java, Bash, LaTeX
- Web & API: Flask (+RESTful), ReactJS (+Redux, Router), FastAPI, ExpressJS, Bootstrap
- AI & Data: PyTorch, TensorFlow (+Lite), Sklearn, OpenAI, Qdrant, Matplotlib, BeautifulSoup, Pydantic, Detectron2
- Infrastructure: Azure, GCP, Firebase, Docker, Git, Serverless, Microservices, Apache Kafka, Asyncio, uv
- Databases: MongoDB • SQLite • SQL
- Testing: unittest, cypress, Postman, Deepsource
- IoT & Hardware: Arduino, Raspberry Pi, Networking (Sockets)
- Deployment: Render, Heroku, App Engine
- No-Code: MindStudio
I'm always excited to collaborate on innovative projects and connect with fellow developers. Whether you're interested in AI, web development, or any tech-related discussion, feel free to reach out!