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Curriculum vitae

Ukoh Emmanuel David

Full Stack and Machine Learning Engineer

emmanuelukoh08@gmail.com+234 816 794 9054Lagos, NigeriaGitHubLinkedIn

Professional summary

Full Stack and Machine Learning Engineer with hands-on experience delivering production web platforms and AI-driven systems using Django, FastAPI, Next.js, React, and applied machine learning. Directing architecture and engineering delivery while contributing to enterprise interfaces and backend services. Experienced across API design, data modelling, retrieval-augmented generation, deployment, and production monitoring.

Core skills and tools

Machine Learning & AI
Retrieval-augmented generation (RAG), FAISS vector search, PyTorch, OpenCV, MediaPipe, LLMs, model benchmarking and calibration.
Programming Languages
Python, TypeScript, C++, SQL.
Backend Engineering
Django, Django REST Framework, FastAPI, Node.js, Express, REST APIs, microservices, distributed systems.
Frontend Development
Next.js, React, React Native, Tailwind CSS, Zustand, Redux, Framer Motion.
Databases & Analytics
PostgreSQL, MongoDB, Supabase, database design and optimisation, BI analytics.
Cloud & Developer Tools
Git, Docker, Kubernetes, Linux/Bash, CI/CD.

Professional experience

Software Developer

Marque Group

Feb 2026 to Present

Develop backend microservices, data pipelines, and relational models. Work includes secure authentication, role-based access control, internal administration portals, deployment configuration, and production incident response.

Full Stack Developer Intern

XStakUp

Aug 2025 to Present

Built and optimised responsive interfaces, integrated asynchronous REST APIs, improved rendering efficiency, resolved linting and CI/CD issues, and collaborated during Agile sprints on accessibility and performance improvements.

Featured projects

Nexus AI

Developed an open-source LLM framework and full-stack AI platform with advanced reasoning, multimodal processing, autonomous agents, Mixture-of-Experts (MoE), retrieval-augmented generation, semantic search, real-time streaming, and scalable backend infrastructure.

The Confident Failure Benchmark (CFB)

Designed an AI evaluation framework for model self-calibration, confidence scoring, and hallucination rates on STEM reasoning tasks. Constructed deterministic datasets, developed ground-truth scoring procedures, and documented the framework for an AI/AGI research hackathon submission.

Aurikrex Academy (FalkeAI)

Built an adaptive AI educational engine with automated lesson-tree generation, modular learning pathways, email OTP authentication, JWT sessions, activity tracking, and adaptive feedback based on learner performance.

Digidrops

Developed a BNB Smart Chain application platform with Soulbound Token quest tracking and referral incentives. Integrated multiple wallet adapters and optimised smart-contract RPC interactions.

Elium AI

Developed a lightweight, multilingual offline STEM tutor for learners with limited internet connectivity. Deployed a quantised Qwen3 model, with the CV reporting 84% offline operation on budget hardware.

Education

B.Sc. Computer Science

University of Ibadan

2025 to 2029

In progress

Certifications

  • Google Project Management Professional, Coursera
  • System Design & API Architecture Fundamentals
  • Frontend and backend development
  • Machine Learning
  • Artificial Intelligence

Ukoh Emmanuel David | Full Stack and Machine Learning Engineer