Building
Intelligent
Applications

I build tools that make opaque systems legible — a JS execution visualiser used by 1,400+ developers in 88 countries, and a distance-adaptive face recognition pipeline built on published research.

0%

Gender Accuracy at 4m

MDPI Electronics, 2025 — peer-reviewed

0+

Statistical Models

in production analytics pipeline

0

Projects Shipped

across web, mobile & AI

I believe intelligence belongs in the hands of users — not hidden in black-box systems.

Every interface I build is a bridge between complex models and human intent. The goal is not to impress with jargon, but to make the machine feel obvious.

// 01 — tools

Technologies I Work With

Building with modern, cutting-edge tools

Frontend
React
Language
TypeScript
Framework
Next.js
AI/ML
Python
AI/ML
TensorFlow

// 03 — research

Published Research

Academic contributions in AI and machine learning

Transfer Learning-Based Distance-Adaptive Global Soft Biometrics Prediction in Surveillance

Sonjoy Ranjon Das, Henry Onilude, Bilal Hassan, Preeti Patel, Karim Ouazzane

Electronics (2025)

Soft biometric prediction in surveillance systems faces significant challenges when attempting to maintain accuracy across varying subject distances. This research presents a novel transfer learning-based distance-adaptive approach for predicting global soft biometrics including age, gender, and ethnicity in surveillance environments. Using EfficientNetB3 with distance-adaptive multi-task deep learning, our method achieves robust performance across distances ranging from 4 meters to 10 meters.

Transfer LearningSoft BiometricsSurveillance SystemsDeep LearningEfficientNetB3+5 more
LET'S BUILD

// next chapter

Ready toship somethingunreal?

I'm looking for my next engineering role — open to full-time opportunities and select collaborations.