I’m Anthi Terezaki, a Machine Learning Engineer who enjoys turning complex problems into practical ML solutions. I’ve built reinforcement learning and supervised learning models for energy applications—optimizing battery charge/discharge strategies and forecasting energy market signals—while also creating end-to-end data pipelines and evaluation frameworks for large-scale time-series datasets. I’m also comfortable bridging research and real products through full-stack engineering. From production-ready backend/frontend components to deploying workflows with modern MLOps practices, I focus on clear communication, strong problem-solving, and fast iteration. My background across deep learning, optimization, computer vision, and quantitative finance keeps my work both mathematically grounded and broadly applicable.

Anthi Terezaki

I’m Anthi Terezaki, a Machine Learning Engineer who enjoys turning complex problems into practical ML solutions. I’ve built reinforcement learning and supervised learning models for energy applications—optimizing battery charge/discharge strategies and forecasting energy market signals—while also creating end-to-end data pipelines and evaluation frameworks for large-scale time-series datasets. I’m also comfortable bridging research and real products through full-stack engineering. From production-ready backend/frontend components to deploying workflows with modern MLOps practices, I focus on clear communication, strong problem-solving, and fast iteration. My background across deep learning, optimization, computer vision, and quantitative finance keeps my work both mathematically grounded and broadly applicable.

Available to hire

I’m Anthi Terezaki, a Machine Learning Engineer who enjoys turning complex problems into practical ML solutions. I’ve built reinforcement learning and supervised learning models for energy applications—optimizing battery charge/discharge strategies and forecasting energy market signals—while also creating end-to-end data pipelines and evaluation frameworks for large-scale time-series datasets.

I’m also comfortable bridging research and real products through full-stack engineering. From production-ready backend/frontend components to deploying workflows with modern MLOps practices, I focus on clear communication, strong problem-solving, and fast iteration. My background across deep learning, optimization, computer vision, and quantitative finance keeps my work both mathematically grounded and broadly applicable.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

Greek, Modern
Fluent
English
Fluent
Spanish; Castilian
Intermediate
French
Intermediate

Work Experience

Machine Learning Engineer at Rener Energy S.A.
November 1, 2024 - Present
Designed and deployed reinforcement learning models to optimize battery charge/discharge scheduling, and supervised learning models to forecast energy market prices and demand. Built end-to-end Python/SQL data pipelines and evaluation frameworks to process and validate large-scale time-series energy data. Collaborated on internal optimization systems that translated ML outputs into operational trading and dispatch decisions, aligning strategies with market participation constraints.
Specialist at Apple Inc.
June 1, 2024 - September 30, 2024
Provided technical support and communicated complex concepts to non-technical users. Strengthened problem-solving, customer communication, and product knowledge across macOS and iOS ecosystems.
Lab Demonstrator & Mentor at University of Southampton
February 1, 2024 - June 30, 2024
Facilitated Java/C++ programming labs and mentored student teams through agile project phases.
Software Development Intern at Mediakind
July 1, 2023 - September 30, 2023
Built backend and frontend features in Python, React.js, and C# integrated into a live-streaming product controller, delivering production-ready components. Configured a Telepresence proxy for Kubernetes to enable real-time local development workflows.
Data Science Intern at Iolcus Investments (AIFM)
July 1, 2022 - August 31, 2022
Built a risk attribution engine analyzing data from Bloomberg Engine with inter-portfolio correlation modeling. Developed portfolio optimization tools using the Black-Litterman model in Python, NumPy, and Pandas. Applied quantitative modeling techniques to financial datasets for automated investment analysis.

Education

MEng Computer Science with Artificial Intelligence (First Class) at University of Southampton
January 1, 2020 - January 1, 2024
A-Levels (Maths A*, Further Maths A, Physics B) at Foundation College, Athens
January 1, 2018 - January 1, 2020
High School Diploma at Athens College (HAEF)
January 1, 2008 - January 1, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Energy & Utilities, Financial Services, Education, Software & Internet