Open to opportunities

Favour Achara

@favourachara

AI/ML engineer who turns end-to-end models into production products, from training to deployment with low-latency performance.

Nigeria

Message

What I'm looking for

I’m looking to build and ship end-to-end AI/ML systems in real products—training through production deployment—where low-latency performance, explainability, and clean engineering matter.

I’m an AI/ML Engineer with hands-on experience building and shipping end-to-end ML systems from model training to production deployment. My software engineering background helps me turn ML models into real, usable products—fast, reliable, and deployable.

As Lead Software Engineer (Founder) at Skyne, I built an AI-powered skincare and marketplace platform with a core conversational agent integrating RESTful APIs across React, Groq AI, and OpenAI LLMs, delivering sub-800ms average response latency. I also designed the ML/backend infrastructure with FastAPI and PostgreSQL to support secure authentication and data management.

From there, I’ve focused on practical impact through projects like an Explainable AI (XAI) system for pneumonia diagnosis (94% diagnostic accuracy) using Grad-CAM and Captum to provide pixel-level explanations that reduced secondary scan verification time by 35%. I’ve also built 3D brain segmentation for DICOM MRI using PyTorch and MONAI (Dice 0.89) and deployed a FastAPI backend to GCP, plus a RAG-based civic services assistant using MongoDB vector search to answer queries in under 750ms.

Experience

Work history, roles, and key accomplishments

Current

Lead Software Engineer (Founder)

Current

Skyne

Mar 2025 - Present (1 year 4 months)

Built an AI-powered skincare and marketplace platform, including a core conversational agent integrating RESTful APIs with React, Groq AI, and OpenAI LLMs. Designed the ML/backend infrastructure with FastAPI and PostgreSQL for authentication and secure data management.

React REST APIs GROQ OpenAI Conversational AI fastAPI PostgreSQL Authentication

Data Engineer / Software Engineer

Abixa Analytics

Jul 2025 - Sep 2025 (2 months)

Engineered optimized data pipelines for collecting and processing structured and unstructured data to support research and decision-making. Built an n8n-based AI agent to automate student submission notifications, improving feedback-loop turnaround by 40%.

Data Pipelines N8n Automation Data Structuring Unstructured Data AI Agents

Machine Learning Engineer/Software Engineer

Explainable AI (XAI) System for Pneumonia Diagnosis

May 2026 - Present (2 months)

Engineered an end-to-end multi-modal deep learning architecture using a PyTorch backend and Next.js frontend, trained on 5,800+ chest X-rays and clinical text reports to achieve 94% diagnostic accuracy. Implemented explainability using Grad-CAM and Integrated Gradients (Captum) to provide pixel-level explanations that reduced secondary scan verification time by 35%.

PyTorch Next.js Grad CAM Integrated Gradients

Machine Learning Engineer/Software Engineer

3D Brain Segmentation

Nov 2025 - Present (8 months)

Built an end-to-end pipeline to process raw DICOM MRI scans and perform 3D tumor segmentation using PyTorch and MONAI, rendering interactive 3D models in-browser. Trained on the BraTS dataset (1,200+ MRI scans) and containerized a FastAPI backend deployed to GCP Compute Engine via Docker.

PyTorch MONAI DICOM BraTS fastAPI Docker 3D Visualization

Machine Learning Engineer/Frontend Developer

n-CiviSense

Aug 2025 - Present (11 months)

Built a RAG system to help Nigerian citizens navigate public services via natural-language queries. Implemented a semantic search engine using MongoDB vector search to index 50+ public policy documents and return responses in under 750ms.

RAG Natural Language Processing Semantic Search Indexing