Open to opportunities

Sochukwuma Nwokoye

@sochukwumanwokoye1

Message

Product-focused software engineer turning AI-driven ideas into shipped, scalable products.

Zimbabwe

Message

What I'm looking for

I’m looking for a product-minded engineering role where I can ship cloud-native features, build AI-driven systems (like RAG), and use user research + metrics to turn ambiguous ideas into measurable customer and business value—working embedded with product and design.

I’m a product-focused software engineer with 5+ years spanning product management and product development across full-stack and backend systems. I bring Product Quality, User Research, and problem framing to translate ambiguity into production-ready releases.

At Ernst & Young, I architected and launched data-driven product capabilities, including RAG-powered knowledge systems, intent classification, and decision engines. I convert ambiguous client needs into prioritized, shipped work—pairing product judgment with business value tradeoffs—while building AI-powered APIs with authentication, telemetry, and monitoring.

I optimize retrieval and recommendation pipelines using research, relevance tuning, and latency analysis to improve user experience and business value. I also interpret usage metrics and feedback loops to validate outcomes with evidence from real-world performance, targeting reliable service delivery (including 99.9% uptime targets).

Earlier, I built full-stack SaaS capabilities using React, TypeScript, NestJS, and PostgreSQL, improving API performance by ~40% and reducing incidents by 30%. As a machine learning researcher and lecturer, I led coursework and coached teams to deliver end-to-end applications, introducing React and cloud deployment patterns to bridge ML and product engineering—reducing iteration friction and improving delivery efficiency by 25%.

Experience

Work history, roles, and key accomplishments

Current

Technology Consultant

Current

Ernst & Young

Oct 2025 - Present (8 months)

Architected and launched data-driven product capabilities, including RAG-powered knowledge systems, intent classification, and decision engines for enterprise workflows. Built AI-powered APIs with authentication, telemetry, and monitoring, and improved retrieval/recommendation pipelines using user research, relevance tuning, and latency analysis to strengthen customer value.

RAG NLP Authentication Telemetry Retrieval Relevance Tuning

Machine Learning Researcher & Lecturer

Pan-Atlantic University

Sep 2022 - Oct 2025 (3 years 1 month)

Led and taught machine learning and NLP courses for 120+ students, coaching 30+ teams to build end-to-end applications. Introduced React and backend APIs with cloud deployment patterns, standardized reproducible ML workflows, and improved delivery efficiency by 25% using stronger process discipline and usability testing.

Machine Learning NLP Deep Learning React Backend Kubernetes Usability Testing Golang

Software Developer

Envak Capital & Investment Ltd

Oct 2020 - Oct 2022 (2 years)

Delivered full-stack SaaS capabilities using React, TypeScript, NestJS, and PostgreSQL, improving API performance by ~40% for B2B workflows. Improved production reliability by 30% through monitoring, debugging, and ownership practices, and translated customer feedback into iterative roadmap inputs.

React TypeScript NestJS PostgreSQL API Performance Debugging Documentation

Education

Degrees, certifications, and relevant coursework

Pan-Atlantic University

Master of Science, Data Science

Earned an M.Sc. in Data Science at Pan-Atlantic University, with coursework in machine learning, deep learning, big data technologies, and business case analysis.

Pan-Atlantic University

Bachelor of Science, Information Science

Earned a B.Sc. in Information Science at Pan-Atlantic University, with coursework in natural language processing, software engineering, web development, and business strategy.