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> Akuna Capital Quant Trading Challenge'26
> Mathematics for ML @Imperial
> Google DeepMind: AI Research Foundations
> EMEA Cloud Student Programme @Google
> Campus Marketing Lead, Adobe Express
> Winter Tech Fellowship @Palantir
> Code in Place @Stanford
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Second-year Computer Science student, building towards software engineering roles at the intersection of scale and rigour. Perfect score in AI module, with credentials spanning Palantir's Winter Tech Fellowship, Google's EMEA Cloud Programme, and Stanford's Code in Place. Alongside the code, I lead campus marketing for Adobe Express and write a newsletter, Codette by Disha, with a growing audience of 4,000+ on Linkedin. I treat content the way I treat code: structured, consistent, and built to actually work.Open to conversations on engineering, marketing, and everything worth building.
First Class Honours
Linear Algebra 98%, Multivariate Calculus 94.75%
Major Projects
Fellowships & Programmes
Published Papers
Selected for Akuna Capital's highly competitive 2026 Quantitative Trading Challenge.
Led Adobe Express's on-campus marketing strategy as part of Adobe's Student Ambassador Program, owning outreach, content, and society partnerships end to end.
Ranked 11th, exploring AI and software architecture with the Manchester-based team.
Built an AI solution on Palantir's AIP platform under engineer mentorship.
Accepted into Stanford University's introductory programming course.
Helping host seminars and conferences across AI, neuroscience and maths.
Founded a surplus food redistribution platform, scaling it into a structured community operation.
Supporting early-career talent through mentorship and educational outreach.
Selected as a GenC Campus Ambassador in the UK to promote Canva.
Jun 2026
View credentialLinkedIn Learning
Jun 2026
View credentialJPMorganChase
Jun 2026
View credentialAnthropic
Jul 2026
View credentialSkyscanner
Jul 2026
View credentialDeloitte
Jul 2026
View credentialAssociated with Google
Issued by Wharton Global Youth Program
Associated with Aston University
Achieved high First-Class marks across first-year Computer Science modules, including 100% in the AI module and 85% in Programming, reflecting strong performance across both theoretical concepts and practical application.
Live data from @disha-umeshaiah
A short collection of things I've built.
Vector search engine in Python. HNSW implemented from the paper, recall within 1β2pp of FAISS's production implementation.
Distributed cache in Go. Consistent hashing, SWIM gossip, custom binary protocol β nodes detect and route around failures in ~560ms, no coordinator.
This site, built from scratch with scroll-triggered animations, a dark and light mode toggle, glassmorphism elements, and a neon visual identity. No frameworks.
A focus timer with a four-screen state machine, CSS parallax animations, and an ambient sound engine synthesised from a sawtooth oscillator using the Web Audio API. Includes a real-time terminal logger. Zero dependencies.
A Chrome extension that steps in at checkout with a brief prompt before a purchase completes, aimed at reducing impulse spending in the moment it happens.
Browser game engineered during Google's EMEA Cloud Student Programme using AI-integrated development tools under an accelerated timeframe.
If youβre looking to collaborate on research, have an interesting challenge in mind, or simply want to connect, Iβd be glad to hear from you.
dishaumeshaiah@icloud.com