Open to AI / ML Engineer roles · London, UK

I build AI systems that ship to production.

AI engineer and MSc candidate focused on machine learning, LLM applications, and the MLOps that keep them reliable. I build end to end systems and deploy them, from an explainable churn model to an autonomous outreach agent.

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Education & foundations

GIK Institute

BSc, Data Science

London South Bank University

MSc, Applied AI

Jazz

Software Engineering Intern

0.0%

ChurnRadar model accuracy

Customer records modeled

Projects built end to end

+0%

Quant Mania insight gain

Selected Work

Things I've shipped

AI / ML·Live

ChurnRadar

An end to end machine learning system that flags customers likely to cancel before they do, with a per customer explanation for every prediction. Built as a live product, not a notebook.

XGBoostSHAPscikit-learnFastAPI

84.5%

Model accuracy

LLM / Agents·Live demo

LeadFlow

A full stack AI outreach agent that finds ideal customers, writes a personalised cold email for each one, and sends it from your own Gmail, with a human review queue kept deliberately in the loop. I built it to run my own job search.

GPT-4oLangChainFastAPIReact

5-10

Qualified leads per run

MLOps·Live demo

Shadow Sentinel

A shadow mode deployment system that runs a challenger model silently next to production, measures how often the two agree on real traffic, and automatically promotes or rolls back, all gated by a full CI/CD pipeline.

GitHub ActionsDockerFastAPIShadow Deployment

Zero

User impact while testing new models

Data Engineering·Academic

Quant Mania

A production grade, real time data platform for crypto market analysis: streaming ingestion and processing, anomaly and volatility models, orchestration, and a full observability stack.

KafkaFlinkAirflowFastAPI

<1s

End to end data latency

View all projects

Capabilities

The stack I build with

Languages

Python
TypeScript
JavaScript
Dart
C/C++
SQL
Bash

Machine Learning

TensorFlow
PyTorch
Scikit-learn
XGBoost
SHAP
NumPy
Pandas

LLM & Agents

GPT-4o
OpenAI API
LangChain
Prompt engineering

Frameworks

React
Next.js
Node.js
Express
Flask
Flutter
Vite

Data & Streaming

Kafka
Flink
Airflow
FastAPI
REST APIs
WebSockets

Databases

MySQL
MongoDB
Redis
SQLite

Cloud & DevOps

Docker
Git
GitHub
CI/CD
Linux
Firebase
Vercel

Analytics & Monitoring

Tableau
Power BI
Prometheus
Grafana

XGBoostSHAPscikit-learnGPT-4oLangChainFastAPIReactTypeScriptKafkaFlinkAirflowDockerGitHub ActionsPrometheusGrafanaStreamlitPythonSQLXGBoostSHAPscikit-learnGPT-4oLangChainFastAPIReactTypeScriptKafkaFlinkAirflowDockerGitHub ActionsPrometheusGrafanaStreamlitPythonSQL

About

The short version

I'm an AI engineer who cares as much about the system around the model as the model itself. Evaluation, explainability, serving, and the deployment work that turns a notebook into something people can actually rely on.

I'm finishing an MSc in Applied AI in London after a BSc in Data Science. Across academic, freelance, and personal projects I've shipped an explainable churn model, an autonomous outreach agent, a shadow mode deployment system, and a real time data platform. I like clear problems, measurable outcomes, and getting things live.

More about me

Credibility

Code & certifications

GitHub

github.com/shaheerr1

Most of my code lives here. The projects on this site are open source, built and committed end to end.

Certifications

Supervised Learning with scikit-learn
DataCamp
Aug 2025
Supervised Machine Learning: Regression & Classification
Coursera · Stanford
Jun 2023
Foundations of Cybersecurity
Coursera · Google
Feb 2024
MySQL for Data Analytics & Business Intelligence
Udemy
Jun 2023
Data Structures & Algorithms in C / C++
Udemy
Jan 2023

05 — Contact

Have a hard AI problem?
Let's talk.

Open to AI / ML Engineer roles. Currently London, UK.

shaheer.aslam@icloud.comRésumé

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