Samuel Kalu

AI / ML Engineer

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AI/ML Engineer with a track record of taking ideas from zero to production. I've built products serving hundreds of daily users, AI systems adopted by 40+ newsrooms, and open-source infrastructure for LLM memory. I specialize in building scalable AI applications that deliver measurable business outcomes not research demos.

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Case Studies

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Voice AI Receptionist

stack Vapi · Google Calendar · Airtable

Automate call scheduling with a voice AI receptionist. Answers calls, checks calendar availability, books appointments, sends confirmations, and logs everything to Airtable.

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Real-Time Job Scraper

stack Camoufox · Playwright · Anti-Bot Evasion

Bypass anti-bot detection to scrape 1,000+ job listings weekly from 7 ATS platforms. Uses Camoufox stealth browser with automatic duplicate detection.

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Google Review Automation

stack n8n (No-Code) · Google Business Profile · OpenAI

Automated Google review management: AI-generated responses, sentiment classification, Slack alerts for negative reviews, and full logging to Google Sheets.

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Testimonials

Arman Liaghat - CEO & Founder, thehired.ai

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Projects

Leadork

trending_up 100+ daily active users

A B2B lead scraping and prospecting platform. Input any location and business type anywhere in the world, and Leadork automatically finds companies, extracts decision-maker emails, and delivers ready-to-use sales sheets. Used daily by sales teams and agencies across multiple markets.

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Sourcemap Africa

groups 40+ newsrooms across Nigeria

AI-powered document verification engine for investigative journalism. Upload a document and get a forensic analysis report in minutes — tamper detection, metadata tracing, archive cross-referencing, and provenance tracking. Built to give African newsrooms the tools to verify documents and publish with confidence.

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Du-RAG

code Open Source

A graph-enabled RAG system that gives LLMs persistent memory. Extracts entities and relationships from conversations and stores them as a dynamic knowledge graph, enabling long-term context without context window limits. Designed for applications that need to remember what was said.

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Communication Analysis Tool

school GSoC

A tool that processes and analyzes audiovisual communication data from driving simulator experiments. Answers two core questions: "Who spoke when?" and "What was said?", using speaker diarization and transcription. Provides visualizations for speaker timelines, sentiment distribution, and interaction mapping.

Experience

Open Source Stories AI Engineer Sep 2025 – May 2026

TRIP LAB OSS Contributor May 2025 – Dec 2025

Masakhane ML Research Fellow Aug 2022 – Oct 2025

Peepalytics AI Data and AI Engineer Jun 2024 – May 2025

Data Backed Africa Lead ML Engineer Jun 2024 – Jan 2025

Statistics Without Borders Data Scientist Jan 2024 – Jul 2024

Fairlearn OSS Contributor May 2023 – Dec 2023

Omdena Junior ML Engineer Dec 2021 – Mar 2023

Data Backed Africa MLOps Engineer May 2020 – Nov 2022

InternCareer ML Intern Nov 2021 – Mar 2022

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Updates

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Jul 2026

Leadork crosses 100 daily active users across US and global markets.

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Jun 2026

Sourcemap Africa onboarded 40+ newsrooms across Nigeria.

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Jun 2026

Du-RAG v2.1: memory consolidation with dynamic entity relationship extraction.

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Aug 2025

Communication Analysis Tool for human-AI driving experiments. Speaker identification and transcription for safety-critical research.

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Apr 2025

Won Nosana Web3 Hackathon 1.0, deployed complex containers to decentralized compute network.