I am an AI/ML Engineer with over five years of experience in building production LLM systems, multi-agent architectures, and MLOps infrastructure. I enjoy crafting innovative solutions and leveraging my expertise to enhance machine learning workflows. My passion lies in integrating cutting-edge technologies at the intersection of AI and human collaboration.…

Michael Accetto

I am an AI/ML Engineer with over five years of experience in building production LLM systems, multi-agent architectures, and MLOps infrastructure. I enjoy crafting innovative solutions and leveraging my expertise to enhance machine learning workflows. My passion lies in integrating cutting-edge technologies at the intersection of AI and human collaboration.…

Available to hire

I am an AI/ML Engineer with over five years of experience in building production LLM systems, multi-agent architectures, and MLOps infrastructure. I enjoy crafting innovative solutions and leveraging my expertise to enhance machine learning workflows. My passion lies in integrating cutting-edge technologies at the intersection of AI and human collaboration.

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Skills

Language

English
Advanced
French
Intermediate
Dutch
Beginner
Italian
Fluent

Work Experience

Consultant, Lead AI Engineer at seederis.ai
February 1, 2025 - Present
Built Agentic Graph-RAG systems using Neo4j, custom MCP gateway, n8n orchestration and SolidStart frontend for energy-sector clients, integrating account data and ISO APIs for customer facing solution. Designed multi-agent workflows using n8n, specialised context engineering with custom ontology for lead generation, comprising of human-in-the-loop validation and source attribution. Deployed monitoring infrastructure tracking model behavior with Kubeflow in production with anomaly detection and automatic retraining triggers when market conditions shift.
AI Engineer (Freelance) at VITA AI Solutions
June 1, 2024 - Present
Fine-tuned Gemma 2B and Phi-2 models on domain-specific data in GCP, achieving 8% accuracy improvement over base model with W&B tracking and automated evaluation pipelines. Zed IDE coding agent running on-device using quantized models for cost-effective inference. Designed and deployed AI-based CRM to automate comms with sales, outreach and service providers.
Machine Learning Engineer at Appjection (LegalTech)
September 1, 2022 - November 30, 2023
Fine-tuned Llama-2 7B and Falcon-7B on 250K+ proprietary Dutch legal documents using distributed training on GCP VM with nvidia A100. Implemented RAG system using chromadb for cosine similarity search with LangChain and streamlit. Developed LabelStudio interface and coordinated labeling of data through Vertex AI HITL Platform.
Data Engineer at Massarius (AdTech)
February 1, 2022 - August 31, 2022
Architected Apache Airflow-orchestrated ML pipelines processing 10K+ daily ad impressions for bid optimization with < 250ms latency requirements. Built CI/CD pipeline with Terraform, Kubernetes and Jenkins, including dev, test and prod deployments. Developed time series algorithm using Meta’s Prophet achieving 31% improvement compared to ARIMA baseline.
Machine Learning Developer at JOA Scanning Technology
January 1, 2019 - November 30, 2019
Developed two ResNet-based computer vision systems with YOLOv3 segmentation for automated thread detection. Designed internal annotation interface with tkinter for ground-truth labeling, enabling team to efficiently curate training datasets. Achieved 94% detection accuracy on test set through hyperparameter tuning and data augmentation strategies.

Education

MSc (Research Master) in Artificial Intelligence at Vrije Universiteit Amsterdam
September 1, 2017 - June 30, 2021

Qualifications

Add your qualifications or awards here.

Industry Experience

Education, Energy & Utilities, Software & Internet

Skills

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