TaiyabContact
Available · Open to UK sponsorship Egham · Surrey · UK

Mohammad

Taiyab Khan.

I build AI products that move from
idea
demo
deployed

Data & AI Engineer. Co-Founder at Autostrata.ai. Royal Holloway MSc, Merit. Published researcher. Currently shipping ML and full-stack products for paid clients.

Scroll©2026 · Folio v1.0
I build AI products that move from idea → demo → deployed
Royal Holloway MSc · Merit
Co-Founder · Autostrata.ai
Open to UK sponsorship
Published in Zenodo
Six paid clients shipped
Available · Egham, UK
I build AI products that move from idea → demo → deployed
Royal Holloway MSc · Merit
Co-Founder · Autostrata.ai
Open to UK sponsorship
Published in Zenodo
Six paid clients shipped
Available · Egham, UK
I build AI products that move from idea → demo → deployed
Royal Holloway MSc · Merit
Co-Founder · Autostrata.ai
Open to UK sponsorship
Published in Zenodo
Six paid clients shipped
Available · Egham, UK
i.About

I started in Delhi, learning data and machine learning between IIT Madras and Jamia. I moved to London in 2023 for an MSc at Royal Holloway, and stayed to build.

Today I'm a Data & AI Engineer and Co-Founder of Autostrata.ai, a UK studio that ships marketplaces, payment infrastructure, and AI agents for founders and SMBs. I split my time between client delivery, original research (a published preprint on football sentiment analysis), and personal data stories that nobody asked for but I couldn't stop thinking about.

I'm looking for a UK-sponsored role as a Data Analyst, Data Scientist, or Data/AI Engineer where I can own both the analytics and the implementation. My Graduate visa runs until January 2027.

MSc Data Science & Analytics

Royal Holloway, University of London · Merit · 2024

Published Research

Predictive Power of Social Media — Zenodo DOI: 10.5281/zenodo.19675434

Read paper

Sponsor-friendly

UK Graduate Visa valid until Jan 2027. Open to Skilled Worker sponsorship. Will relocate within the UK; open to UAE, EU, or India as alternatives.

3+
Years experience
Combined data + AI + full-stack
6
Paid clients shipped
Via Autostrata.ai
1
Research papers
Peer-reviewed preprint
Jan 2027
Visa runway
UK Graduate Visa

The journey, briefly.

  1. 2020Began BSc Computer Science & Mathematics, Jamia Millia Islamia, New Delhi.
  2. 2022Joined Gurucool as a Data Analyst. Led a recommendation system that lifted engagement 50%.
  3. 2023Moved from Delhi to London. Started MSc Data Science & Analytics at Royal Holloway.
  4. 2024Graduated with Merit. Dissertation on football sentiment analysis.
  5. 2025Co-founded Autostrata.ai. Shipped Clock-in Pro, MummyHelp, HEART-Eco.
  6. 2026Published EURO 2024 paper. Currently looking for UK sponsored roles.
ii.Selected work

Things I've actually shipped.

Real projects with real clients, paying real money. Every metric below comes from a live deployment, not a demo.

01

Clock-in Pro

2025

Paid client · via Autostrata

Face-verified, GPS-geofenced attendance for a 45-employee operation.

ReactNode/ExpressPostgreSQLDeepFaceOpenCV
GitHub
−83%
Fake clock-ins reduced
−72%
Payroll errors reduced
99.6%
Uptime
98.3%
Verification accuracy
02

MummyHelp

2025

Paid client · via Autostrata

Voice-activated SOS app with on-device wake-word and speaker verification.

React NativeExpoNode/ExpressSupabasePython FastAPI
GitHub
96.8%
Wake-word accuracy
3.5s
SOS delivery time
61%
Faster than baseline
99.3%
Crash-free sessions
03

HEART-Eco · HEART AI

2025–26

Paid client · via Autostrata

Agentic AI that turns an economic model into an interactive analyst.

Agentic AIRAGn8nGPT-5.1Next.js 14
Live demoGitHub
2026–2030
Forecast horizon
Strict
Tool routing
Closed
Source boundary
04

Sartorial London

2025

Paid client · via Autostrata

A custom Sharetribe Flex marketplace for designer outfit rentals.

Sharetribe FlexStripeReactNodeTypeScript
Source repo
Fixed 5-day
Rental window
Redesigned
Mobile layout
Stripe holds
Deposit flow
05

Predicting EURO 2024 via Social Media Sentiment

2024

MSc Dissertation · Royal Holloway, University of London

The model with the worst benchmark score succeeded where the best one failed.

NLPSentiment AnalysisLLMStatistical InferencePython
Paper · DOI
0.927
Best benchmark AUC
p = 0.012
LLM win-day vs loss-day signal
79%
Neutral tweets in corpus

Earlier client work

09

Gurucool Recommendation System

2022–23

Gurucool XYZ Pvt Ltd

Hybrid recommendation engine that lifted engagement 50% and cut churn 40%.

PythonMachine LearningRecommendation SystemsPrompt Engineering
+50%
User engagement
−40%
Churn reduction
+15%
Customer lifetime value
iii.Research & analysis

Things I made because I couldn't stop thinking about them.

Published research, personal data stories, and tools I built to solve problems I was experiencing. The work that doesn't fit on a CV bullet point.

“The model with the worst benchmark score succeeded where the best benchmark model failed. Because 79% of football tweets are actually neutral — and the binary classifier forced all of them into ‘positive’ or ‘negative’, burying the real signal.”
From Predictive Power of Social Media, my MSc dissertation, now a peer-reviewed preprint on Zenodo.
06

NBA Shot Selection Shift

2025

Personal research

Is the modern NBA really just more threes? The numbers say it's a structural shift.

PythonpandasData StorytellingMatplotlibnba_api
10.6% → 41.9%
24+ ft attempt share
25.0% → 4.8%
16–24 ft attempt share
+4.2 pp
8–16 ft FG%
07

UK Visa Sponsorship Companies Map

2024

Open-source tool

I built a tool to solve the problem I'm still living through.

FlaskGoogle Maps APILeaflet.jsPythonData Engineering
GitHub
3,674
LinkedIn impressions
45
Reactions on launch
08

AAPL Multi-Horizon Risk Analysis

2025

Personal research · finance module spin-out

When you're not clear on the question, more metrics just add confusion.

Statistical InferenceTime-SeriesExcelConfidence IntervalsData Storytelling
+2.3%
Monthly avg return
+27.6%
Yearly avg return
21.6%
Yearly volatility
10

Alzheimer's Detection from Brain Scans

2023

BSc Final Project · Jamia Millia Islamia

Computer vision classifier on MRI imagery — 84% accuracy, F1 = 0.8.

Computer VisionMachine LearningMedical ImagingPython
84%
Accuracy
0.80
F1 score
iv.Tech stack

The toolkit, as honestly used.

No padding — these are the tools I've actually shipped with in the last twelve months. Daily-driver tools at the top of each group.

Data & ML

01/08
PythonPandasNumPyscikit-learnRggplot2SQLXGBoostRandom ForestStatistical InferenceTime-Series

AI / LLMs

02/08
OpenAI APIGPT-5.1Assistants APIClaude (Anthropic)Prompt EngineeringRAGn8nSpeechBrainPicovoiceDeepFaceOpenCV

BI & Viz

03/08
Power BITableauGoogle Data StudioRechartsMatplotlibSeaborn

Web & APIs

04/08
React 18Next.js 14TypeScriptNode/ExpressFastAPIRESTTailwindshadcn/uiReact Native (Expo)Stripe

Databases

05/08
PostgreSQLBigQuerySQL ServerSupabaseDrizzle ORM

Cloud & DevOps

06/08
AWSGCPVercelRailwayDockerReplitGitHub Actions

Analytics

07/08
Google AnalyticsGoogle Tag ManagerMicrosoft ClarityHotjarSupermetrics

Deep Learning

08/08
TensorFlowPyTorchKerasHuggingFaceCNNsComputer Vision
v.Get in touch

Let's build
something useful.

I'm available for full-time data, ML, or AI engineering roles in the UK (sponsor-licensed companies, please), and for freelance / contract work via Autostrata.

Available · Open to UK sponsorship · Graduate Visa to Jan 2027

© 2026 Mohammad Taiyab Khan. Built with Next.js + a lot of coffee, in Egham.

v1.0 · taiyab.autostrata.ai