Luca Beltramelli

Dynamic PhD and Software Engineer
Linköping, SE.

About

Highly accomplished PhD and Software Engineer with over 5 years of expertise in cloud-native development, wireless communications, and data engineering. Proven leader in designing and implementing cutting-edge microservices and robust data pipelines, bridging advanced research with practical industry applications. Drives technological innovation in telecommunications, leveraging a strong background in Machine Learning and 5G technologies to deliver scalable, high-impact solutions.

Work

Ericsson
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Data Engineer

Summary

Led data engineering efforts for the DARTS Cloud RAN vCU MLOps Data-Lake, architecting and deploying ETL pipelines that optimized data ingestion and storage.

Highlights

Architected and deployed highly efficient ETL pipelines, significantly optimizing data ingestion and storage across SQL and NoSQL databases for the DARTS Cloud RAN vCU MLOps Data-Lake.

Managed the end-to-end deployment and lifecycle of complex data pipelines and their underlying infrastructure, ensuring robust data availability and performance.

Contributed to strategic data initiatives by integrating advanced data observability practices, enhancing data quality and system reliability across the data platform.

Ericsson
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System Developer

Summary

Engineered a production-grade microservice in Go for Cloud RAN Network Automation, enhancing radio unit (RU) localization and overseeing its full development lifecycle.

Highlights

Led the full development lifecycle of a production-grade microservice in Go, from concept to deployment, ensuring seamless integration and enhancing radio unit (RU) localization within the Cloud RAN Network Automation framework.

Served as Epic Driver, meticulously overseeing the microservice implementation project's lifecycle, ensuring strict alignment with strategic implementation goals and driving successful project delivery.

Designed and implemented a Kubernetes controller to automate the deployment and lifecycle of critical 5G Cloud-Native Network Functions, significantly improving operational efficiency and scalability.

Mid Sweden University
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Teaching and Lab Assistant / Supervisor

Summary

Provided comprehensive teaching and lab assistance across advanced communication and computing courses, and mentored MSc thesis students.

Highlights

Delivered instruction and lab support for key courses including 5G Technologies, Applied Machine Learning, and Performance Analysis of Communication Systems, enhancing student comprehension.

Mentored and supervised multiple MSc students through their thesis projects, guiding them from research design to successful project completion.

Developed and updated course materials, incorporating current industry trends and research advancements in areas like Industrial Communication and Queuing Theory.

Mid Sweden University
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Postdoctoral Researcher

Summary

Investigated critical challenges in private 5G networks within vertical domains, with a focus on smart factory applications.

Highlights

Conducted in-depth research on private 5G networks, specifically addressing challenges for smart factory applications and industrial communication.

Pioneered the use of novel evaluation metrics, including Age of Information (AoI), and advanced Machine Learning algorithms to optimize network performance.

Published research findings in peer-reviewed journals, contributing to advancements in 5G and IoT communication strategies.

ABB Corporate Research
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MSc Thesis Researcher

Summary

Conducted a six-month master thesis project at ABB Corporate Research, focusing on WiFi-assisted indoor localization.

Highlights

Executed a six-month master thesis project at ABB Corporate Research, investigating and developing solutions for WiFi-assisted indoor localization.

Applied theoretical knowledge to practical industrial challenges, contributing to advancements in precise indoor positioning technologies.

Collaborated with senior researchers to analyze performance data and refine localization algorithms, demonstrating strong research and analytical capabilities.

Education

Mid Sweden University

Doctor of Philosophy (Ph.D.)

Computer and System Sciences

Courses

Thesis: Random and Hybrid Medium Access for M2M Communication: Scalability and Energy Analysis

University of Brescia

Master's degree

Electronic Engineering

Courses

Thesis: Wi-Fi Localization based on IEEE 802.11v

University of Brescia

Bachelor's degree

Electronic and Telecommunications Engineering

Courses

Thesis: Implementation of a WM-BUS system for an 8-bit Microprocessor

Awards

VT-COM-IT Joint Chapter Best Student Journal Paper Award

Awarded By

VT-COM-IT Joint Chapter

Received for outstanding contributions to a student journal paper, recognizing excellence in research and publication.

Ericsson Research Foundation Grant

Awarded By

Ericsson Research Foundation

Awarded a competitive grant from the Ericsson Research Foundation to support advanced research initiatives.

Publications

Published Peer-Reviewed Articles

Published by

Various Academic Journals and Conferences

Summary

Authored and co-authored multiple peer-reviewed articles published in leading academic journals and and conferences, focusing on wireless communication, 5G networks, and Machine-to-Machine communication. Full text available upon request.

Skills

Data Engineering

ETL Pipelines, Data Lakes, LakeHouse, Data Observability.

Programming Languages

Python, Go, SQL, Bash.

Tools & Technologies

Kubernetes, Docker, SQL/NoSQL Databases, S3, REST, Prometheus.

Networking

Cloud RAN, 5G, IoT, Wireless Communication Systems.

Soft Skills

Project Management, Team Leadership, Innovation, Problem-Solving, Communication.