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Noble Eselase Vulley

AI / ML Engineer & Applied-ML Researcher

Co-founder, AfricodeLab

Curriculum Vitae · AI / ML Engineering & Research

Experience

AI / ML Engineer

2023 – Present

AfricodeLab

  • —Built and deployed LLM solutions for document understanding, conversational assistants, and intelligent automation.
  • —Fine-tuned transformer models on domain data and implemented Retrieval-Augmented Generation with FAISS for real-time proprietary retrieval.
  • —Developed end-to-end ML pipelines: preprocessing, training, evaluation, and cloud deployment.

AI / ML Research Engineer & Project Supervisor

Sep 2025 – Dec 2025

Data Intelligence and Swarm Analytics Laboratory (DISAL)

  • —Led MedGemma fine-tuning for diabetic-retinopathy detection, chest X-ray classification with automated radiology-report generation, and equitable dermatological diagnosis on African skin tones.
  • —Owned model-architecture decisions, dataset preparation, evaluation strategy, and ethics review across 10+ healthcare-focused ML projects.
  • —Supervised intern teams delivering HR, academic, school, hostel, and admission management systems in Python, React, and PHP.

Data Analyst

2021 – 2025

Independent consultancy

  • —Studied the socio-economic and ecological impact of sand mining in the South Tongu District using EPA methods and inferential statistics.
  • —Analyzed household energy use, LPG adoption, and the feasibility of biomass-briquette alternatives.
  • —Built a fuel-price prediction model for Ghana (Jun 2023 – May 2024) using time-series analysis in Python.

Senior Software Developer

2023 – 2025

AfricodeLab

  • —Designed a full microservices ecosystem: Netflix Eureka service discovery, an API gateway, and centralized Spring Cloud Config backed by Git.
  • —Built a centralized authentication and authorization server for secure service-to-service communication.
  • —Developed core domain services including Delivery Management and Event Processing.

Associate Software Developer

2023 – Present

AfricodeLab

  • —Served as lead developer for a national-scale Election Management System, from system design to implementation.
  • —Built Payroll Management and Payment Voucher systems with full reporting.
  • —Implemented API governance with WSO2 and traced production issues with Glowroot APM.

Database Manager & Administrator

2023 – Present

AfricodeLab

  • —Designed scalable database architectures for client-facing applications on MySQL, Oracle, and PostgreSQL.
  • —Cut query execution times by up to 40% through indexing, query rewriting, and schema optimization.
  • —Established backup, recovery, and disaster-recovery strategies and ran live, zero-downtime migrations.

Selected Projects

Heart-Disease Prediction (BPSO-PSO MLP)2026

Co-author / ML Researcher

Co-developed a hybrid BPSO-PSO optimized MLP for feature selection and hyperparameter search; published in Springer LNNS.

Python · Neural Networks · BPSO / PSO · Feature Selection

IntelliFraud Copilot2026

ML Engineer

Designed the multi-agent reasoning and hybrid RAG over policy documents, producing explainable, analyst-facing summaries.

Python · LLM agents · RAG · Qdrant · PostgreSQL · React

Araba — University AI Assistant2026

ML Engineer

Built the pgvector RAG pipeline and a provider-swappable LLM/embedding layer for bilingual, document-grounded answers.

Python · FastAPI · pgvector · Redis · RAG · WhatsApp Cloud API

Odum — Cocoa Deforestation Traceability2026

Geospatial ML Engineer

Built the LightGBM change-detection model over Sentinel-2 imagery for sub-hectare deforestation detection.

Python · FastAPI · PostGIS · LightGBM · Sentinel-2 · Next.js

GPCN — Histopathology Cancer Detection2025

ML Researcher

Developed a graph-pooling Vision Transformer for multi-magnification histopathology with k-fold validation and ablations.

PyTorch · Vision Transformers · Graph Pooling · scikit-learn

RideSync+2026

ML Engineer

Built the RandomForest surge-forecasting pipeline with automated six-hour retraining.

Python · FastAPI · scikit-learn · WebSocket · Flutter · Redis

Publications

A Hybrid BPSO-PSO Optimized Multilayer Perceptron Framework for Enhanced Heart Disease Prediction

Nathanael Ayirebaje Azuponga, Jumah Musah, Courage Adzewoda, Noble Eselase Vulley, Justice Kwame Appati, Michael Agbo Tettey Soli.

Innovative Computing and Communications (ICICC 2025). Lecture Notes in Networks and Systems, Springer Nature Switzerland, 2026, pp. 254–264.

DOI: 10.1007/978-3-032-30005-8_21

Noble Eselase Vulley — AI / ML Engineering & Researchafricodelab.net