Aadil_s_Resume_SWE_variant.pdf

A meta-portfolio

Aadil Mallick - Portfolio

References

reference_letter_from_kris.pdf

Contact

📧 [email protected]

🔗 https://www.linkedin.com/in/aadil-mallick/

👾 https://github.com/aadilmallick

📞 703-712-9239

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main statement

I am a college student who loves to code in his free time. I am a full-stack web developer who specializes in React, NextJS, Typescript, and React Native - so pretty much React. But I’m also proud of my web development fundamentals and the skills I’ve been honing for 3 years.

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checkout my projects!

Here’s what I’ve been working on and hope to make into real companies:

Aadil Mallick’s Projects

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Education

Bachelor of Science in Computer Science + Mathematics

William and Mary, 2026

• CSCI 303 Algorithms: learned about concepts like hash tables, b-trees, and dynamic programming.
• CSCI 301 Software Development: project-based course in Java, where I learned about Java graphics, agile development practices, and Android Studio.
• CSCI 446 Intro to neural networks: learned to create our own neural networks just using numpy, and went into depth on the priniciples of machine learning. I gave a presentation on the Word2Vec paper.
• CSCI 416 Intro to machine learning: learned about various machine learning algorithms, like PCA, SVMs, Linear and Logistic regression, and Transformers.
• CSCI 464 Intro to cyber security: learned about the history of cyber security and foundational concepts of protecting data and avoiding bad actors.
• CSCI 444 Intro to mobile application security: learned about security, cryptography, and UX for mobile devices, and became proficient in Jetpack Compose for Android Studio.
• MATH 211 linear algebra: Learned about vector spaces, eigenvalues, eigenvectors, and how to apply them across different disciplines.
• MATH 212 multivariable calculus: Learned about partial derivatives, double integrals, and vector-valued functions.
• MATH 302 differential equations: Learned about linear and nonlinear DEs, their applications, and how to solve them with techniques such as the Laplace transform.
• Math 345 mathematical biology modeling: Learned about difference equations, differential equations, predator-prey relationships, and made a project visualizing epidemic spread with SIR and modeling COVID.
• MATH 410 quantum computing: Learned about complex number theory, the basics of quantum physics, the mathematics of qubits, and how to design quantum algorithms like Shor’s algorithm.
• CSCI 420 quantum computing: Learned about complex number theory, the mathematics behind entanglement, and designed my own quantum error-correction circuits.