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Michael Adeyeri

@michaeladeyeri1

Senior Artificial Intelligence Engineer at Plotpointe building multi-agent LLM systems that drove a 30% lift in viral output.

Nigeria

Message

What I'm looking for

I’m passionate about building intelligent, user-centric AI products and advancing toward cutting-edge research and engineering in machine learning and agentic AI systems.

At Plotpointe, I built multi-agent LLM systems for content ideation and optimization, driving a 30% lift in viral output. I also developed models that score ideas before production and forecast early signs of viral trajectories after publishing.

At Zarttech, I led development of a RAG-based multi-agent system for retrieving and interacting with personalized knowledge. I also developed an audio streaming API for real-time transcription and a time management assistant for coordinating meetings and tasks.

At MyCover.ai Techstars '22, I oversaw development and deployment of an AI Auto-Inspection Model with over 90% accuracy and facilitated deployment of an AI damage detection model in AWS with over 85% accuracy.

My work spans production ML systems, from recommender systems and predictive models to computer vision and embedded solutions. I’ve worked with MLOps, real-time inference, and cloud platforms, and I’m interested in advancing cutting-edge machine learning and agentic AI systems.

Experience

Work history, roles, and key accomplishments

Current

Senior Artificial Intelligence Engineer

Current

Plotpointe

Apr 2025 - Present (1 year 6 months)

Built multi-agent LLM systems for content ideation and optimization, driving a 30% lift in viral output. Designed pre-publish virality models and post-publish early-signal predictors to score and prioritize content.

LLM Multi Agent Systems RAG LangGraph Lang Chain MLOps A B Testing Content Optimization

Senior Machine Learning Engineer

Zarttech

Mar 2024 - Apr 2025 (1 year 1 month)

Facilitated development and deployment of an audio streaming API using Django, websockets, and whisper model for real-time transcription. Led development of RAG-based multi-agent systems and recommender systems using vector databases.

Django WebSockets Whisper RAG Multi Agent Systems Vector Databases Semantic Search Recommendation Systems Sentence Transformers

Machine Learning Engineer

MyCover.ai Techstars '22

Jun 2023 - Mar 2024 (9 months)

Led AI team in building scalable solutions for user experience improvement. Oversaw development and deployment of AI Auto-Inspection Model with over 90% accuracy and AI damage detection model in AWS with over 85% accuracy.

AI CI CD AWS Model Deployment Computer Vision

Lead ML Engineer

Omdena

Sep 2022 - Mar 2024 (1 year 6 months)

Affiliated with global data science teams to develop and train ML models for predicting Nitrous Oxide in UK farms and air quality in Poland. Coordinated teams for various ML projects including computer vision for insurance claims and stock price prediction.

Machine Learning data preprocessing EDA Sentiment Analysis NLP Time Series Analysis Computer Vision Model Training Hyperparameter Optimization

Lead Engineer

Mytech Enterprise Services

Jan 2020 - May 2023 (3 years 4 months)

Led team in using data to improve intelligence of IoT devices and consumer product durability by over 25%. Oversaw development and deployment of supervised ML models with accuracy over 90%.

IoT Embedded Systems Raspberry Pi Supervised Learning Data Analysis

Machine Learning Engineer

Omdena

Jun 2022 - Sep 2022 (3 months)

Presided over web scraping to acquire data of over 10k records on schools in India. Enabled data-driven insights by processing and analyzing 1000 datasets.

Web Scraping Data Processing Data Analysis

Embedded Systems Technician

Mytech Enterprise Services

Apr 2019 - Dec 2019 (8 months)

Designed intelligent power solutions such as switchover and power monitors using Raspberry Pi. Developed microcontroller-based solutions, optimizing hardware performance and reducing system downtime by 30%.

Raspberry Pi Microcontrollers DSPs PIC Power Management