UK (Open to Remote / Singapore / Japan)

Senior Full-Stack Engineer

Specialist in scalable AI systems and enterprise frontend architecture. Built AI platforms serving 100k+ users, optimized workflows by 40%, and delivered real-time systems for 5,000+ daily transactions.

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Years Experience

0k+

Platform Users

Latency Reduction

Workflow Efficiency

Engineering Highlights

100k+ users AI platform with 30% latency reduction

Enterprise claim processing efficiency +40%

5,000+ daily real-time ride tracking system

Built 50+ reusable frontend components

Led system design across React, Node.js, and AI pipelines

About

Senior Full-Stack Engineer with 7+ years building scalable web applications, AI-powered platforms, and real-time systems. Currently pursuing MSc in Data Science at University of Leicester with a focus on applied AI and scalable systems.

Case Studies

Modelia · 2024 — 2025

AI Fashion Platform

The platform needed to support compute-heavy AI image generation while maintaining a responsive UX at 100k+ user scale. High latency risk and unpredictable backend load required a robust frontend architecture.

Hybrid SSR/CSR with Async Job Queue

→SSR for initial shell + SEO-critical paths
→CSR for interactive AI studio workflows
→Node.js API layer for request orchestration

100k+

active monthly users

30%

response latency decrease

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Frontend (React SSR/CSR)

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API Layer (Node.js)

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AI Processing Queue

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Model Execution Layer

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Storage / CDN

AXA · 2023 — 2024

Enterprise Insurance System

Legacy insurance claim workflows suffered from fragmented UI, slow re-renders, and poor form validation at scale. The team needed a maintainable component system and predictable data flow.

Component-Driven Enterprise UI

→Shared design system for form, table, and wizard patterns
→Type-safe API client layer with centralized error handling
→Optimistic UI updates for claim status transitions

40%

improvement in claim processing throughput

15%

decrease in UI defect escape rate

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Browser (React + TS)

→

BFF / Gateway

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Claims Core Services

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Policy & Underwriting DB

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Audit + Reporting Layer

Deqode · 2019 — 2023

Real-time Taxi Platform

Riders and drivers needed live map synchronization with acceptable latency across heterogeneous mobile networks. Existing HTTP polling was too slow and bandwidth-heavy.

WebSocket Fan-Out with Geo Indexing

→Persistent WebSocket connections per active session
→Redis pub/sub to broadcast location updates to riders
→Batched geohash indexing for fast map tile queries

5,000+

daily active rides supported

<1s

average location latency

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Driver App

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WebSocket Gateway

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Redis Pub/Sub

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Rider App (React + Maps)

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Trip History DB

MSc Research — Earth Observation Systems · 2026 — Present

Adaptive Onboard AI for EO Data Prioritization

Earth observation satellites generate more imagery than they can transmit given limited onboard memory, power, and intermittent ground-station contact. Conventional 'downlink everything' approaches waste scarce bandwidth and delay access to time-critical information such as deforestation and wildfire detection.

Adaptive Scientific Value Function (ASVF) with Safety Gate

→Onboard lightweight CNN (MobileNetV2) for real-time tile scoring
→Multi-signal ASVF combining detection confidence, event severity, and live resource state
→Mandatory safety gate ensuring critical alerts always transmit

Ongoing

MSc research project

Objective

Reduce time-critical deforestation and wildfire data latency

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Satellite Imagery

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Onboard AI (MobileNetV2 / PyTorch)

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ASVF Scoring Engine

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Safety Gate / Prioritization