Mar 2026
Quantihack - Finalist, built CC Rewind
The UK's largest quant trading competition - 800 registered users trading live on a synthetic exchange, sponsored by Anthropic, Jane Street and Optiver.
● LIVE · LONDONjunaid@ldn:~
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SWE @ Morgan Stanley | CS @ Queen Mary University of London (Grad 2027)
SEP 2025AFSEnterprise Computing - File Systems ◂ current
SEP 2024PBPrime Brokerage Tech & Client Services
SEP 2023FXTrading Platform Production Support
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*7e41b90ship afterquote v1.0.0
*9f3c2adbuild ccrewind.com @ quantihack
*c25a8e3win encode ai hackathon
*4b9d0a1rotate to afs engineering
*12ab34cjoin morgan stanley
GitHub ↗LinkedIn ↗EmailCVjunaidmohammad.com
About
20-year-old Software Engineer at Morgan Stanley on a degree apprenticeship track, studying Computer Science at QMUL. High-agency fast learner, hobby tinkerer and builder, exploring ideas with real applications, from publishing Python packages to self-hosting my own AI stack on my VPS, with a focus on shipping, distribution, and maintainability.
Age 20/London/MS since 2023/QMUL grad 2027
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Experience
Morgan Stanley
Technology Degree Apprentice · Grad 2027
Enterprise Computing - Andrew File System
- Self-built a full-stack data platform from scratch and owned it end to end: design, DevOps, testing, deployment. Serving file system access data to 200+ distinct users a fortnight, with warehouse compute costs modelled at petabyte-adjacent scale.
- Automated the AFS release process into a < 1 hour Jenkins pipeline, compiling RPMs against target kernels across RHEL 6-10 with Podman, codifying years of centralised implicit knowledge and helping meet a firm-wide post-Mythos CVE distribution time mandate.
- Deployed an LLM SRE Wiki integrating internal MCPs, git submodules, Sybase connections, and custom skills to cover a critical support gap, resolving 25+ user queries in its first month.
AFS Engineering is my current team and one I'm technologically loving. Currently leading multiple projects and learning quickly in a high-impact, large-scale environment.
Projects
afterquote
Copied!
afterquotePython, PyPI, pandas, CI/CD
Synthetic after hours pricing for leveraged and FX-adjusted ETPs, a live quote when the derivatives exchange has closed and the underlying is still trading.
- Synthesises after hours OHLC candles for leveraged and cross-currency ETPs by applying the underlying's move, leverage and FX as separate legs, to the last known close.
- Ships on PyPI with point-in-time queries, empirical confidence bands, portfolio P&L, a 90-day backtest harness, and a CLI.
- Validated live on 3TSL.L/TSLA over 90 days, 0.76 correlation, 71% direction hit-rate.
- To my knowledge, the only free synthetic after hours quote generator available to retail traders.
ccrewindNext.js, TypeScript, npm, CI/CD
Spotify Wrapped for your Claude Code usage.
- Surfaces tokens, cost, tools, streaks, hour-of-day patterns, top projects, a Claude Elo and more across 14 animated slides.
- Built in the Quantihack final; assigns a developer archetype and ends on a character reveal.
- Ships as a web app and an npm package with a /ccrewind terminal slash command for Claude Code.
- Zero data leaves your machine, all analysis runs client-side in the browser or terminal.
Highlights
click a card to expand ↗
Nov 2025
Encode Blockchain & AI Hackathon - Winner!
Came first place with Sniffer, an AI-powered blockchain fraud detection tool built using Envio HyperSync and Streamlit.
Feb 2025
Financial Markets - Yale University (Certificate)
Overview of risk, institutions, and market structure with a focus on financial leadership, behavioral finance, and real-world applications across securities, insurance, and banking.
Feb 2023
Mobile App - Crossy Road Parody
Parody of popular mobile game Crossy Road, with the twist that every time you die you have to answer a maths question. Made with Kotlin and Android Studio - this was a school project aimed at secondary school & sixth form students.
Oct 2022
Machine Learning - Stanford University (Certificate)
Built supervised and unsupervised ML models in Python with NumPy and scikit-learn, covering regression, classification, evaluation, and feature engineering.
Concurrent
Open Source Contributions
Subject to Morgan Stanley's open-source contribution policy, I like to contribute where I see broken flows or room for improvement.
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Skills
Languages
Python ✦TypeScriptSQLKotlin
Tools
Linux ✦Jenkins ✦GitPodmanCI/CDGitHub Actions
Frameworks
Streamlit ✦Angular ✦CSS (Bootstrap, Tailwind) ✦React
Domain
Financial Markets ✦RAG & LLM Tooling ✦Production Support ✦