Marco Serenelli

AI Researcher

Rome, Italy1 yr 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced manual processing time by 50% with AI workflows.
Optimized LLM inference costs by 40% for large document sets.
Led successful migration to Docker, enhancing deployment efficiency.

Stackforce AI infers this person is a SaaS-focused AI Engineer with strong data engineering capabilities.

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Skills

Core Skills

Artificial IntelligenceMachine LearningData EngineeringCloud ComputingDatabase Engineering

Other Skills

LangChainAI AgentsNatural Language ProcessingSolution ArchitectureProgrammingData processingETLAlgorithmsData SciencePythonSQLBigQueryCI/CDJenkinsDocker

About

AI Engineer at IAMONES.

Experience

1 yr 10 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 10 mos

Current Experience

Iamones

AI Engineer

Jul 2024 – Present · 1 yr 10 mos · Remote

Built AI Agent–powered workflows translating user requests into automated IGA actions with human-in-the-loop validation, cutting manual processing time by 50%.
Designed and deployed a production-grade RAG system with reranking, retrieval scoring and token optimization, reducing LLM inference costs by 40% for 10,000+ documents.
Architected scalable IAM databases and LangChain-based LLM SQL pipelines, automating queries and ensuring reliable performance across 500+ user requests.
Developed Python deployment pipelines with logging and monitoring, and led code reviews while mentoring junior developers to improve ML pipeline quality.

LangChainAI AgentsCloud computingNatural Language ProcessingSolution ArchitectureProgramming+7

Bytek | the martech of datrix group

Data Engineer

Feb 2024 – Jun 2024 · 4 mos · Italia · Remote

Led the migration of 10+ projects to Docker-based containerized environments, deploying services on Google Cloud Run and reducing deployment time by 35%.
Designed and maintained CI/CD pipelines using Google Cloud Build and Jenkins to automate build, test, and deployment workflows, improving release reliability and consistency across environments.
Developed and optimized scalable ETL pipelines in Python (pandas, SQLAlchemy), transforming and loading data into BigQuery for analytics and reporting.
Implemented data modeling strategies and optimized BigQuery queries to enhance performance, reduce processing time, and control cloud costs.
Built cloud-native, production-ready data solutions with a focus on scalability, automation, and operational stability.

PythonCloud computingETLBigQueryCI/CDJenkins+2

Info consulting srl

Database Engineer

Apr 2022 – Jun 2022 · 2 mos · Osimo, Marche, Italia · On-site

University Internship experience.
Designed and developed a relational database in Microsoft SQL Server to manage and version machine recipes within an Industry 4.0 manufacturing environment.
Implemented indexing strategies and query optimization techniques to enhance performance, reduce execution time, and improve system reliability.
Developed, tested, and optimized T-SQL stored procedures, views, and complex queries to ensure data integrity and seamless integration with production machines.

AlgorithmsSQL Server Management StudioT-SQLDatabase Engineering

Dreamgroup

Wordpress Developer

Jun 2018 – Oct 2018 · 4 mos · Castelfidardo, Marche, Italia

School-Work experience. My job was to create and modify wordpress pages, I was also involved in the creation of content for sponsorships on various social media, in order to increase the visibility of customer companies.