London
Junaid Mohammad
SWE @ Morgan Stanley | CS @ Queen Mary University of London (Grad 2027)
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 personal quant experiments to AI prototypes, with a focus on shipping, distribution, and maintainability.
Experience

Morgan Stanley - Technology Degree Apprentice (Grad 2027)
- Built a full-stack Streamlit platform from scratch, replacing a legacy Perl system, backed by a Snowflake DB.
- Owned the full SDLC: scaffolded from zero with mypy, ruff, pydantic, and testing (pytest unit and Streamlit integration), containerised the app, and shipped via internal infrastructure-as-code tooling.
- Delivered firm-wide file usage querying across AFS projects and metadata.
- Wrote data collection scripts across thousands of external Linux and Solaris hosts, aggregating on-prem before forwarding to Snowflake.
- Modelled Snowflake compute costs at petabyte-adjacent scale, designed query patterns around budget constraints, and evaluated caching strategies at scale.
- Automated the AFS release pipeline, codifying years of centralised implicit knowledge into a reproducible CI/CD flow.
- Built a pipeline taking kernel version and source RPM as inputs, using Podman to install build dependencies and compile RPMs against the target kernel, outputting distributable RPMs.
- Revived a dormant test suite, fixing failing tests and modernising dependencies to internal standards.
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.
- Led a department-wide SSL migration across PB applications, coordinating rollout and validation.
- Built HTTP interceptors, configured load balancers, and contributed to a secure internal gateway design.
- Solely rewrote the CSS for one of our apps, expanding its usage to mobile, per MD spec.
- Worked with the desk to author a regulatory onboarding workflow guide covering our client onboarding app.
This year was defined by a large backlog of delivery and successful project management. With leadership turnover, I stepped up to run multiple initiatives, dug into infra modernisation in an otherwise UI-focused team, built strong connections across the firm to bring improvements back to the team. I shipped a high volume of production changes, often on weekends, and helped resolve multiple production outages, building a reputation for clear-headed incident response and leadership.
- Supported Morgan Stanley's FX trading platform (Matrix), resolving production issues quickly working with colleagues and traders internationally.
- Delivered full-stack Angular + Python tools automating SRE workflows.
- Modernised legacy systems with Perl to Python migrations and RHEL server upgrades.
I'll always look back at this year fondly for sparking my interest in financial markets. Watching high-vol events - from geopolitical shocks, the JPY carry-trade unwind to CPI surprises - ripple through our books and systems brought an intense pace which I genuinely enjoyed.
Projects
afterquote
Python, PyPI, pandas, CI/CDPython package for calculating after-hours prices for derivatives, with a focus on LETFs.
- To my knowledge, the only free synthetic after-hours quote generator available to retail traders.
- Distributed on PyPI with semantic versioning, dependencies, docs, and release notes.
Forecastly
Python, Streamlit, pandas, CI/CDPrice forecasting platform that blends security prices with meteorological data for commodity research and backtesting.
- Engineered ML models to predict six-month forward pricing and surface correlations.
- Delivered a Streamlit app for rapid exploration and stakeholder review.
Highlights
Nov 2025Encode Blockchain & AI Hackathon - Winner!ExpandCollapse
Came first place with Sniffer, an AI-powered blockchain fraud detection tool built using Envio HyperSync and Streamlit.

Feb 2025Financial Markets - Yale University (Certificate)ExpandCollapse
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 2023Mobile App - Crossy Road ParodyExpandCollapse
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.
Sadly, I no longer have access to the original code or even a device with the game installed, so the video demo is the only piece I have left. I hope one day I am able to recover this.
Oct 2022Machine Learning - Stanford University (Certificate)ExpandCollapse
Built supervised and unsupervised ML models in Python with NumPy and scikit-learn, covering regression, classification, evaluation, and feature engineering.
ConcurrentOpen Source ContributionsExpandCollapse
Subject to Morgan Stanley's open-source contribution policy, I like to contribute where I see broken flows or room for improvement.
Some contributions below:
Skills
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Frameworks
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