Lawson Ekhorutomwen

Full-stack developer and AI engineer who builds from first principles.

Production web and mobile apps alongside AI systems, backpropagation, retrieval, computer vision, implemented from scratch, not assembled from APIs. Frontend Engineer at Sendpiper, studying Medicine and Surgery at the University of Benin.

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Lawson Ekhorutomwen

About

Full-stack developer and AI engineer, and a final-year medical student. Built and shipped production web and mobile applications alongside AI systems built from first principles, not course certificates: implemented backpropagation, attention, and a GPT model from scratch, reproduced a peer-reviewed clinical AI paper, and built a clinical NLP pipeline evaluated against ground truth I hand-annotated myself. Long-term focus: AI applied to medicine.

Medicine and SurgeryUniversity of Benin (UNIBEN) · Benin City, Edo StateExpected 02/2027

Projects

01/08
Doctor holding a stethoscopeAI & Machine Learning

Ground — Full-Stack Medical RAG Assistant

TF-IDF built from scratch

A full-stack RAG assistant that answers health questions using only cited MedlinePlus sources, never general model knowledge.

Retrieval is TF-IDF and cosine similarity built from scratch in PyTorch, no embedding API or vector database, with a hybrid fallback for short queries too common across the corpus to score well. Generation hands retrieved documents to an LLM as numbered sources with strict instructions: answer only from them, cite every claim, use non-diagnostic language, and recommend a real healthcare provider.

FastAPIPyTorchNext.jsTypeScriptGemini API
Source code

Experience

Frontend Engineer · Sendpiper

Jul 2025 – Present

Meta-certified messaging automation platform for WhatsApp, Instagram & Messenger

  • Built and maintain the customer-facing web application in React and Next.js, including a drag-and-drop flow builder for automated multi-channel messaging campaigns and a unified inbox for managing WhatsApp, Instagram, and Messenger conversations in one interface.
  • Built the contact/audience management and campaign analytics interfaces, giving users visibility into a broadcast pipeline processing 200,000+ messages per day at 99.9% reliability.

Skills

AI & ML Engineering
Neural Networks (Built from Scratch)Backpropagation & Autograd EnginesTransformer Architecture & AttentionLLM Training (GPT)LoRA Fine-TuningRetrieval-Augmented Generation (RAG)Explainable AI (SHAP, Grad-CAM, Integrated Gradients)Clinical NLP & Named Entity RecognitionComputer Vision (MediaPipe, OpenCV)MLOps (Model Serving & Monitoring)PyTorch
Languages
PythonTypeScript / JavaScript
Frontend
ReactNext.jsVue.jsReact Native / Expo
Backend
FastAPIFlaskNode.js / Express
Infrastructure
AWSGoogle Cloud Platform (GCP)PostgreSQLDocker

Get in touch

Open to engineering roles, especially where medicine and AI meet. Reach out directly or download the resume below.

lawsonctrl@gmail.comGitHubLinkedInResume (PDF)

Benin City, Edo State, Nigeria