Emaad Kashif
Aspiring Founder

Building things that
matter from day one.

A-level student at Surrey Maths School. Obsessed with the intersection of mathematics, machine learning, and markets — and with the idea that great software is still the highest-leverage thing a person can build.

Who I am

I'm a maths student at Surrey Maths School, a specialist sixth-form where I've spent the last two years thinking rigorously about problems — and getting increasingly frustrated when the software that's supposed to solve them doesn't.

That frustration is what draws me to building. I'm drawn to problems that sit at the edge of quantitative finance, AI, and software infrastructure — spaces where the stakes are real and the right abstraction can genuinely change outcomes.

I'm applying to YC Startup School because I want to accelerate the gap between having ideas and shipping them. I want to be in a room with people who've done it, understand why most things fail, and can help me think more clearly about what's worth building next.

∑

Applied Mathematics

Probability, statistics, and maths that describe real systems.

⬡

Machine Learning

How models learn, fail, and can be made genuinely useful.

◈

Markets & Trading

Price discovery, information asymmetries, financial systems.

⊞

SaaS Infrastructure

Subscription models, billing, how software businesses work.

Education & credentials

Combining a rigorous A-level programme at a specialist maths sixth-form with US university entrance preparation — building credentials on both sides of the Atlantic.

📐
In preparation

SAT — Scholastic Assessment Test

Target: 1500+

Actively preparing for the SAT with focused study across the Math and Evidence-Based Reading & Writing sections. The quantitative maths background from Surrey Maths School provides a strong foundation — particularly for the advanced algebra, data analysis, and problem-solving modules that distinguish top scores.

Progress Targeting 1500+ / 1600
800 1200 1500 1600
∫
Active prep

AP Calculus BC

College Board Advanced Placement

Preparing for AP Calculus BC — the most advanced mathematics AP offered, covering differential and integral calculus, series, parametric equations, and polar coordinates. Equivalent to two semesters of university-level calculus. Directly complements A-level Further Maths and provides a recognised US academic benchmark for STEM admissions.

Limits & Continuity Integration Series & Sequences Differential Equations
🎓
Current

A-Levels — Surrey Maths School

Specialist mathematics sixth-form, Guildford

Studying at Surrey Maths School, one of the UK's only specialist mathematics sixth-forms, where every student is selected for exceptional aptitude in mathematics and science. The rigorous curriculum goes well beyond standard A-level, with a culture of independent research and problem-solving that consistently produces students bound for top universities worldwide.

Mathematics Further Mathematics Physics

What I'm building

In progress

AI-Powered Trading Research

An intelligent research assistant for retail and prop traders — helping them synthesise market signals, backtest ideas, and surface edges that would otherwise take hours of manual analysis. The goal is to close the gap between how institutional desks work and what an individual trader can actually access.

LLM Agents Financial Data SaaS Prop Trading
Exploring

Quantitative Finance Tools

Experimenting with implementations of classic and modern quantitative models — from options pricing to portfolio optimisation — to build intuition for where the hard problems actually live and where software can make a genuine difference.

Python Quant Models Research

Research & ongoing work

Ongoing explorations across machine learning, data science, and quantitative systems. Active on Kaggle as a competitive ML practitioner.

  • AI-Powered Trading Signal Engine

    Ongoing

    Building a multi-agent system that ingests market microstructure data, earnings transcripts, and alternative datasets to generate actionable trade signals. Exploring transformer-based time-series forecasting and reinforcement learning for order execution.

    Transformers RL Time-Series Python
  • Satellite Telemetry Analysis — Astro Pi

    Published

    Analysis of environmental and sensor data collected during the ISS mission run. Applied statistical methods to identify anomalies and patterns in microgravity conditions, contributing original findings from one of the few UK school teams selected for the programme.

    Sensor Data Python Statistics Space Science
  • CanSat Systems Modelling & Data Pipeline

    Ongoing

    Designed the software stack for a CanSat satellite prototype — real-time telemetry ingestion, sensor fusion, and a ground-station dashboard for flight data visualisation. Combines embedded programming with data engineering under strict payload constraints.

    Embedded Systems Telemetry Data Engineering Visualisation
  • Kaggle ML Competitions — Predictive Modelling

    Kaggle

    Active competitor on Kaggle, working across structured data, NLP, and computer vision challenges. Building fluency in gradient boosting, feature engineering, and ensemble methods through real competitive datasets and leaderboard feedback loops.

    XGBoost Feature Engineering NLP Computer Vision
  • AI Readiness Platform — Claude Build Day

    Prototype

    Rapid prototype built at Anthropic's Claude Build Day: an AI readiness assessment tool that benchmarks an organisation's infrastructure, data maturity, and team capability, then generates a prioritised adoption roadmap using LLM reasoning chains.

    LLMs Claude API Product Rapid Prototyping

View Kaggle profile

kaggle.com/emaadkashif · ML competitions & notebooks

↗

Selected achievements

Astro Pi Mission Space Lab

Member of the only team from his school whose code was selected to run on the International Space Station through the Astro Pi programme.

SubscriptionFlow AI

Youngest developer to join the SubscriptionFlow AI team, contributing to AI-powered billing automation and product development.

Claude Build Day

Built an AI Readiness platform from concept to working prototype within a few hours using AI-assisted development workflows.

CanSat Competition

Participated in the design, development and testing of a satellite-in-a-can system, combining engineering, programming and data analysis.

Google Build Day

Participated in rapid prototyping and AI application development using Google's AI ecosystem.

Hackathons

Participated in Harvard HSIL Hackathon and preparing for HackMIT 2026, building software under time pressure with other technical students.

Ideas I keep returning to

A few ideas I keep returning to.

  • Why most fintech tools talk to traders but don't think with them Essay · Coming soon
  • The information structure of markets — and what it means for AI Essay · Coming soon
  • What maths school taught me about how to think, not just calculate Essay · Coming soon
  • On building things before you're qualified to Essay · Coming soon

AI certifications

Pursuing industry-recognised AI credentials from the organisations building frontier models — learning directly from the source.

Google Cloud

Professional Machine Learning Engineer

Google Cloud's top-tier ML credential — validating the ability to design, build, deploy, and operationalise AI solutions using Vertex AI, Gemini Enterprise Agent Platform, and Google Cloud's full ML stack. Covers model architecture, MLOps, GenAI integration, and responsible AI.

Vertex AI MLOps GenAI TensorFlow BigQuery ML
Anthropic Academy

Building with the Claude API

Anthropic's official developer certification — covering the full Claude API from first call to production deployment. Includes streaming, tool use, prompt engineering, agentic workflows, and MCP (Model Context Protocol) for connecting Claude to external services. Certificate issued by Anthropic on completion.

Claude API Agentic AI MCP Prompt Engineering Tool Use
Anthropic Academy

AI Fluency: Framework & Foundations

Co-developed with academic partners and chaired by the former Yale president and Coursera CEO. Teaches structured frameworks for working with AI — where models excel, where human judgement is irreplaceable, and how to evaluate AI tools critically. Official Anthropic certificate on completion.

AI Frameworks Responsible AI Prompt Design AI Safety

Life outside the screen

Extracurricular

⚽

Surrey Maths School Football Team

Team Player

Active member of the school football team — competing in inter-school fixtures and bringing the same collaborative mindset from the pitch into team-based technical work.

♟️

UK Chess Competitions

Competitive Player

Regular participant in UK chess tournaments — a game that rewards long-horizon thinking, pattern recognition, and composure under pressure. The same skills that matter in markets and system design.

🤝

Community Volunteering

Local Outreach

Volunteers with local community initiatives supporting homeless people — a reminder that the best systems solve real human problems, not just technical ones.

Interests & Hobbies

📰 Reading the Financial Times
🚴 Cycling
♟️ Chess strategy
📈 Following markets
⚽ Football
🤖 Building AI tools

Get in touch

Always happy to talk to people building interesting things, or thinking about the same problems I am.