AI Engineer · Full-Stack & 3D Interactive Dev · London, UK

I build intelligent systemspeople actually enjoy using.

AI engineer with a Distinction MSc in Applied AI, building end-to-end intelligent systems, from ML models to autonomous agents, with 3D interactive interfaces that make them usable.

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Education & experience

GIK Institute

BSc, Data Science

London South Bank University

MSc, Applied AI

Jazz

Software Engineering Intern

0.46

LLM judge F1 with failure taxonomy, up from 0.46

0.031p

McNemar significance, naive vs guided judge

0.0%

ChurnRadar model accuracy

Projects built end to end

Selected Work

Things I've shipped

AI / ML·MSc Dissertation

Agent Failure Detection

A DeBERTa-v3 classifier that names an agent's failure mode from its execution trace while the agent is still running, not after it finishes. 0.820 macro F1, and 78% of unsafe actions caught before the agent acts.

DeBERTa-v3RoBERTaPyTorchHuggingFace

0.820

Macro F1

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

Frameworks

React
Next.js
Node.js
Express
Flask
Flutter
Vite

Design & 3D

Spline
React Spline
Framer Motion

LLM & Agents

GPT-4o
OpenAI API
LangChain
Prompt engineering

Machine Learning

TensorFlow
PyTorch
Scikit-learn
XGBoost
SHAP
NumPy
Pandas

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 what people see and touch as what happens underneath. I build the model, the pipeline that serves it, and the interface around it. That includes 3D and interactive experiences that make a system feel alive, not just accurate.

I completed an MSc in Applied AI in London with Distinction, 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. Alongside that, I build interactive 3D experiences and interfaces in Spline and Framer Motion. I care about a system being both correct and genuinely nice to use.

More about me

Credibility

Code

GitHub

github.com/shaheerr1

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

05 — Contact

Have a hard AI problem?
Let's talk.

Open to AI engineering, full-stack and frontend roles, plus freelance and contract work. Currently London, UK.

shaheer.aslam@icloud.com

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