= CODE + FINANCE + MATH

> Maths for ML @Imperial

> Qiskit Global Summer School 2026 @IBM

> EMEA Google Cloud Student Programme

> Student Ambassador @Adobe

> Winter Tech Fellowship @Palantir

> Summer Intern (CodeInplace) @Stanford

About Me

I am driven by a deep interest in finance, mathematics, and codingโ€”fields where logic meets creativity. At my core, I am a builder: I enjoy turning ideas into tangible outcomes, whether through code, systems, or innovative solutions. One defining trait about me is my inability to remain idle; I am constantly exploring, learning, and creating. While I aspire to pursue a career in investment banking in the future, my current focus lies in the technology spaceโ€”building, experimenting, and growing within the industry. I am eager to expand my network, collaborate with like-minded individuals, and continue doing what I genuinely enjoy. At the end of the day, I am someone who thrives on momentumโ€”constantly learning, building, and evolving. If you are interested in discussing ideas, collaborating on projects, or simply having an engaging conversation, feel free to reach out!

About Me

Featured Projects

A curated collection of my work to solve real-world problems.

AirBoard โ€” Draw in the air with your hands

Built a real-time hand-tracking whiteboard that runs entirely in the browser. Point your index finger to draw, fist to erase, pinch to cycle colors โ€” no plugins, no installs, just a camera and MediaPipe running client-side at 30fps. Wrapped it in a neon cyberpunk UI with particle trails, animated glow strokes, and CRT scanlines.

JUNE 2026 Completed

The Arsenal Supporter Collective: Logistics Hub

Architected a peer-to-peer logistics ecosystem specifically for Arsenal supporters to resolve post-match transit congestion. The platform enables real-time seat-matching and verified ticket exchange, utilizing an automated manifest system and data-driven occupancy telemetry to modernize how fans travel to and from the Emirates.

Github link ๐Ÿ”— โ†’ JUNE 2026 Completed

Portfolio (This website)

Who says math can't be pink? This project is a 'living' portfolio that blends a vaporwave-inspired pink aesthetic with technical precision. I spent my spring break building this from the ground up, focusing on immersive user experience (UX) elements like reactive neon glows, animated math overlays, and sophisticated CSS transitions. Itโ€™s more than a resumeโ€”itโ€™s a fully responsive, interactive playground that demonstrates my ability to code complex animations from scratch.

GitHub link ๐Ÿ”— โ†’ APRIL 2026 Completed

neon flow pro: finance tracker

Stop the "Checkout Regret" Before It Happens! Ever hit "Place Order" and immediately felt that sting in your bank account? I built NeonFlow Pro to solve that. Itโ€™s not just another finance app youโ€™ll forget to open. Itโ€™s a Chrome extension that lives where you shop.

GitHub link ๐Ÿ”— โ†’ APRIL 2026 Completed

Umbrella | Intelligent UK Weather

Built Umbrella โ€” not another weather app, but a fully interactive atmospheric intelligence system that fuses live weather APIs, particle-engine visualisation, adaptive theming, and predictive behavioural analytics into a cinematic forecasting experience.

GitHub link ๐Ÿ”— โ†’ MAY 2026 Completed

AeroFocus

Built a web app that turns standard time blocks into high-altitude flight vectors because deep-work shouldn't just feel productiveโ€”it should feel like traveling at Mach 0.85.

GitHub link ๐Ÿ”— โ†’ MAY 2026 Completed

Skills

Finance

  • Quantitative Analysis
  • Financial Modeling
  • Risk Management
  • Portfolio Optimization
  • Derivatives
  • Time Series Analysis

Engineering

  • Data Structures
  • Algorithms
  • Web Development
  • System Design
  • APIs & Backend
  • Git & Version Control

Mathematics

  • Linear Algebra
  • Probability
  • Statistics
  • Calculus
  • Optimization
  • Numerical Methods

Certifications

Beyond my degree, I've sought out structured learning to deepen the mathematical and AI foundations behind the tools I build with.

Mathematics for Machine Learning โ€” Imperial College London

A 3-course specialisation covering the core mathematical foundations behind machine learning: linear algebra (vectors, matrices, eigenvalues), multivariate calculus (gradients, optimisation), and principal component analysis for dimensionality reduction. Built a working understanding of how these concepts underpin training algorithms, loss functions, and model optimisation โ€” bridging the gap between abstract maths and practical ML implementation.

View ๐Ÿ”— โ†’ 2026 Completed

Google AI Essentials โ€” Google

A practical course on using generative AI tools effectively and responsibly in everyday work. Covers prompt engineering techniques, identifying where AI tools add genuine value versus where human judgement is needed, and understanding the limitations and ethical considerations of AI-assisted workflows. Completed as part of broadening my exposure to AI tooling alongside hands-on project work like AeroFocus and the Google EMEA Cloud Programme.

View ๐Ÿ”— โ†’ 2026 Completed

AI Pair Programming with GitHub Copilot

Explored how to integrate GitHub Copilot into a real development workflow โ€” from generating boilerplate and writing tests faster, to using it for debugging and refactoring. Focused on understanding when AI-assisted code suggestions speed up development versus when manual reasoning is still essential, particularly for maintaining clean, intentional architecture across my own projects.

View ๐Ÿ”— โ†’ 2026 Completed

Letโ€™s Connect

If youโ€™re looking to collaborate on research, have an interesting challenge in mind, or simply want to connect, Iโ€™d be glad to hear from you.

Get in Touch

dishaumeshaiah@icloud.com

Connect Online