Curriculum Vitae
Updated November 2025. PDF version below.
Position
PhD Researcher (Wissenschaftlicher Mitarbeiter), Chair of Automatic Control and System Dynamics, Faculty of Electrical Engineering and Information Technology, Technische Universität Chemnitz, Germany. Advisor: Prof. Dr.-Ing. Stefan Streif. September 2024 – present.
Research on Explainable AI, mechanistic interpretability, and model predictive control, applied to controlled-environment agriculture.
Education
MSc, Digital Transformation, University of Applied Sciences and Arts Dortmund (Fachhochschule Dortmund), Germany. July 2022 – May 2024. Focus areas: Data Science, Digital Transformation, Business Intelligence.
MTech, Computer Software Engineering, Vellore Institute of Technology (VIT), India. 2013 – 2018. CGPA 8.44 / 10.
Selected publications
For the full list see the Publications page or my Google Scholar profile.
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R. A. Naagarajan, K. K. Sathyanarayanan, N. Bauer, S. Streif. Enhancing greenhouse management with interpretable AI: a natural-language interface for advanced and optimization-based control. Smart Agricultural Technology, August 2025. DOI: 10.1016/j.atech.2025.101041.
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R. A. Naagarajan, K. K. Sathyanarayanan, N. Bauer, S. Streif. Automated analysis and textual summarization of time-varying references in advanced greenhouse climate control. Frontiers in Agronomy, March 2025. DOI: 10.3389/fagro.2025.1536998.
Research and professional experience
Research Assistant (Wissenschaftliche Hilfskraft), Chair of Automatic Control and System Dynamics, TU Chemnitz. September 2023 – August 2024. Worked on Large Language Models and time-series analysis on the projects that became the 2025 publications.
Java Data Engineer, Vaillant Group, Remscheid, Germany (remote). July 2023 – May 2024. Built and optimized a streamlined data acquisition pipeline from IoT sensors using Java, improving downstream data processing in Polarion.
Java Engineer, Vaillant Group, Remscheid, Germany (hybrid). September 2022 – July 2023. Led the transition from a monolithic to a microservices architecture using Spring Boot and REST APIs. Improved a document upload pipeline by roughly 60%.
Java Software Developer, Tata Consultancy Services, Chennai, India. September 2018 – February 2022. Built scalable Java applications using Spring Boot, Maven, microservices, Elasticsearch, and MongoDB.
Skills
Research areas: Explainable AI · Mechanistic interpretability · Machine learning interpretability · Model predictive control · Causal time-series analysis · Controlled-environment agriculture.
Programming: Python · Java · SQL · Spring Boot · REST APIs.
ML and data: PyTorch, scikit-learn, pandas, NumPy, Elasticsearch, MongoDB, time-series analysis, statistical data analysis.
Visualization and BI: Microsoft Power BI, Tableau (foundations).
Certifications
- Microsoft Power BI Data Analyst Specialization, Microsoft. January 2024.
- Microsoft Certified: Azure Data Scientist Associate, Microsoft. October 2023.
- Foundations of Strategic Business Analytics, ESSEC (Coursera).
- Successful Negotiation: Essential Strategies and Skills, University of Michigan (Coursera).
- Fundamentals of Visualization with Tableau, UC Davis (Coursera).
Languages
English (professional working proficiency) · German (elementary, A2) · Tamil (native).
Contact
ramesh.naagarajan@etit.tu-chemnitz.de · rameshln.96@gmail.com · LinkedIn · GitHub · Google Scholar · ORCID 0009-0006-1578-6052.