Nazeh Abel
Senior software engineer with 8+ years building production web applications, cloud-native services, and AI-powered systems across government, finance, telecoms, and large digital platforms.
I set technical direction, own architectural decisions and their consequences, and raise the engineering standard of the teams I work in — full stack across Python and TypeScript, with deep production experience in RAG pipelines, agentic workflows, and LLM orchestration.
I have defined CI/CD and engineering standards adopted beyond my own team, mentored engineers at every level, and directed technical strategy as interim CTO — while still writing code on the hardest parts of the problem.
Experience
Summary of recent roles. Full timeline and recommendations: LinkedIn. Email: nazehabel@gmail.com.
Senior Software Engineer
Apr 2026 — PresentIncubator for Artificial Intelligence (i.AI) · London, UK (hybrid)
Lead observability and AI model telemetry across production systems; establish engineering standards adopted beyond my team; embed responsible AI from design through monitoring.
Full-stack Software Engineer
May 2022 — PresentFinancial Times · London, UK
Full-stack delivery with Node.js and React, TDD, A/B testing, distributed systems, CI/CD (CircleCI, AWS), and cross-functional collaboration.
Senior AI Engineer & Interim CTO (part-time)
Aug 2022 — May 2026Candleweb Service Limited · Nigeria (remote)
Directed technical strategy as interim CTO; delivered end-to-end production ML/AI systems with MLOps and CI/CD; deployed TensorFlow, Keras, and PyTorch models improving accuracy up to 20%; led segmentation, forecasting, and fraud-detection delivery.
Artificial Intelligence Consultant (freelance)
Feb 2024 — PresentMedallion Technologies · Remote
Designed AI systems integrated into production platforms; built data pipelines for scalable workflows; ran workshops on responsible AI adoption; monitored and refined live systems for reliability and business value.
Full Stack Teaching Assistant (part-time)
Sep 2021 — PresentUniversity of Birmingham · UK
Mentored 300+ learners in full-stack development, system design fundamentals, and collaborative engineering workflows.
Machine Learning Engineer
Aug 2021 — Jul 2022TDI-India · India
Developed ML models for customer segmentation and demand forecasting (+15% accuracy); led fraud detection reducing fraudulent activity by 18%; optimised AWS infrastructure and integrated ML into products.
Senior Software Engineer
Apr 2019 — Aug 2021Open Lab Technologies · Nigeria (remote)
Led Node.js and Python backend development; contributed to resilient system architecture; used Hadoop for real-time large-dataset processing (+20% efficiency); mentored junior engineers and bridged technical and business stakeholders.
Senior Software Engineer (contract)
Sep 2019 — Dec 2020Comviva Technologies · India
Improved API load and response times by 15%; integrated third-party services; strengthened platform stability through architecture design; guided junior developers.
Test Engineer, Testing & Solution Integration
Apr 2019 — Aug 2019Tecnotree Corporation · Finland
Developed test plans and cases improving product quality; collaborated with offshore teams and streamlined testing, reducing testing time by 10%.
Technical Support Engineer
Nov 2017 — Apr 2019Tecnotree Corporation · Finland
Supported enterprise telecoms applications with 95% customer satisfaction and 96.9% uptime; bridged technical teams and business units.
Education
- MSc Artificial Intelligence (Distinction) — University of Wolverhampton, 2022
- BSc Information Technology (Distinction) — NIMS University, India, 2014 — 2017
Blog
View all- 43 min read
Human Capability as an Optimisation Objective for Intelligent Systems
AI has always been optimised for machine performance: accuracy, reward, engagement, preference alignment. This paper argues that's no longer enough, and proposes Capability-Oriented AI (COAI), a framework that treats long-term human capability as an explicit optimisation objective alongside conventional performance metrics.
- 59 min read
The Great Human Shift
Contemporary digital technologies are best understood not as isolated tools but as components of a broader environmental transition: the emergence of adaptive digital environments that sense behaviour, personalise experience, and increasingly participate in cognition itself.
- 19 min readMedium
You Shipped the Website. Now Can AI Find It?
From Vibe Coding to AI-Ready Architecture What Software Engineers Must Know in 2026 Photo by Bernd 📷 Dittrich on Unsplash So you’ve shipped the website. The client is happy. The design looks great on mobile, Lighthou…
- 4 min readMedium
SEO, Digital Marketing, and the Shift to AI Optimisation
I was taking a retrospective of how SEO and digital marketing have evolved over time — from the days when it was difficult to get anything in front of customers, to this era where products and services are literally a…
- 8 min readMedium
Unpacking the Engine Driving Modern LLMs (And Why Your Prompts Are Crucial)
The AI landscape is buzzing, and at the heart of this revolution are Large Language Models (LLMs). If you’ve ever wondered how these marvels conjure human-like text, understand your queries, and even generate creative…
- 4 min readMedium
The Dual Edge of AI: Reshaping Junior Developer Roles and Corporate Software Strategy
Embracing the Shift: A Ground-Level Perspective In the past couple of months, there’s been a lot of talk about “embracing AI” to do everything. It’s created two clear categories among early-career software engineers:…