What I've built

Work

Products shipped, patents granted, research published. The proof behind the writing.

2 granted USPTO patentsLive product, paying customers~8,000 companies indexedPhD candidate, King's College LondonNeurIPS reviewer x3

Product · Founder

StockLens

A deterministic financial-intelligence platform that turns fragmented SEC and policy filings into structured, evidence-bearing signal cards. Built for auditability: every number traces back to its source.

970kSEC entities
15M+artifacts
85-90%extraction accuracy
sub-secondretrieval
$49/molive Stripe billing
stocklenshq.com →Read the story →

Product · In development

Bill-y

An AI-efficiency layer for engineering teams. It splits Claude token spend across the phases of building software (understand, design, build, test, review) so leaders can see whether AI is being used well, not just heavily. FinOps for AI, built as an efficiency coach rather than a surveillance dashboard.

See Bill-y →In development, under Intellusion

Intellectual property

Patents

US 12,283,081 B1
Granted, USPTO
Google Patents →
US 12,556,831 B2
Granted, USPTO
Google Patents →

Plus 2 PCT applications; OtoX and MIS pending.

Research

Publications

ChartEye
DICTA 2023
First author
C-RADAR
C-CODE 2023
First author
Preprint
arXiv 2409.20340
Read →
Preprint
arXiv 2408.15809
Read →

PhD candidate, King's College London. NeurIPS reviewer (x3). Speaker, Stanford AI + Health.

Google Scholar →

Always learning

Courses & certifications

28 on LinkedIn →
Complete Guide to Microsoft Purview
LinkedIn Learning · Dec 2025
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Presenter, 3rd Intl. Conference on Communication, Computing and Digital Systems (C-CODE 2023)
IEEE · May 2023
AI for Medicine Specialization
DeepLearning.AI · Feb 2023
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AI For Medical Treatment
DeepLearning.AI · Feb 2023
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AI for Medical Prognosis
DeepLearning.AI · Feb 2023
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AI for Medical Diagnosis
DeepLearning.AI · Feb 2023
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Sample-based Learning Methods
University of Alberta · Dec 2022
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Stanford AI+Health Conference 2022
Stanford University School of Medicine · Dec 2022
Fundamentals of Reinforcement Learning
University of Alberta · Nov 2022
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Advanced Computer Vision with TensorFlow
DeepLearning.AI · Sep 2022
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Machine Learning Data Lifecycle in Production
DeepLearning.AI · Sep 2022
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How to Write and Publish a Scientific Paper
École Polytechnique · Aug 2022
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Introduction to Machine Learning in Production
DeepLearning.AI · Apr 2022
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NeurIPS 2021
Neural Information Processing Systems · Dec 2021
Building Web Applications in Django
University of Michigan · Dec 2021
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Web Application Technologies and Django
University of Michigan · Dec 2021
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Scrum Fundamentals Certified
VMEdu / SCRUMstudy · Nov 2021
Deep Learning Specialization
DeepLearning.AI · Oct 2021
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Sequence Models
DeepLearning.AI · Oct 2021
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Convolutional Neural Networks
DeepLearning.AI · Oct 2021
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Structuring Machine Learning Projects
DeepLearning.AI · Sep 2021
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Improving Deep Neural Networks
DeepLearning.AI · Sep 2021
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4th IAPR TC 10/11 Summer School on Document Analysis (SSDA 2021)
Luleå University of Technology · Aug 2021
Neural Networks and Deep Learning
DeepLearning.AI · Sep 2021
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AWS Cloud Practitioner Essentials
Amazon Web Services (AWS) · Aug 2021
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5-Day Training on Document Analysis & Recognition
NUST · Apr 2021
5-Day Training on Object Detection & Recognition
NUST · Mar 2021
Machine Learning
Stanford University · Mar 2021
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Off the screen

Reading

Zero to One
Peter Thiel & Blake Masters · a favorite
The Lean Product Playbook
Dan Olsen
The Hard Thing About Hard Things
Ben Horowitz
The Courage to Be Disliked
Ichiro Kishimi & Fumitake Koga
The Psychology of Money
Morgan Housel
DotCom Secrets
Russell Brunson