Arun sai T.
AI-Backend Developer Intern
Experience
Oct 2025 - Present
3 monthsAachen, Germany
AI-Backend Developer Intern
Calvergy UA
- Integrated complex AI-based energy system models into the frontend framework, enabling the visualization of insights for 6+ key clients and maximizing energy utilization.
- Maximized energy efficiency and utilization by architecting the seamless data flow between AI models and the user interface for rapid, actionable reporting.
Nov 2024 - Feb 2025
4 monthsLauf an der Pegnitz, Germany
DevOps & Machine Learning Intern
Deeptronics GmbH
- Advanced data optimization drove a 135% improvement in ML deployment speed through effective preprocessing and feature engineering.
- Robust CI/CD automation cut deployment time by 40% by designing and managing scalable, reliable pipelines with Jenkins, GitLab CI, and Azure Data Factory.
- Comprehensive GDPR governance strengthened pipeline security and compliance by implementing auditing, access controls, and regulatory checks across ML workflows.
Nov 2023 - Jun 2024
8 monthsGraz, Austria
Master’s Thesis – Anomaly Detection in Time Series using ML/DL
AVL List GmbH
- Developed ETL pipelines with advanced preprocessing techniques to handle class imbalance, successfully improving model training accuracy to 95%.
- Fine-tuned high-performance multi-output ML/DL models using PyTorch and TensorFlow, achieving 98.7% accuracy and enabling real-time predictions through Simulink integration.
Aug 2022 - Oct 2024
2 years 3 monthsNuremberg, Germany
Student Research Assistant in Machine Learning and AI
Chair of Factory Automation and Production Systems
- Deployed scalable FastAPI-based ML services on Azure AKS, reducing prediction latency by 60% and integrating Explainable-AI (XAI) for model transparency and trust.
- Streamlined MLOps workflows by integrating ML models with Azure Machine Learning, enabling reliable, automated continuous delivery and model lifecycle management.
- Enhanced system visibility and decision-making through Prometheus/Grafana dashboards, PostgreSQL/Cloud data integration, and interactive Power BI for real-time analytics and A/B testing.
Jun 2019 - Mar 2021
1 year 10 monthsNew Delhi, India
Microsoft Junior Data Scientist
Decision Point Analytics
- Optimized ETL pipelines using Python, Apache Spark, and SQL to streamline data flow from large datasets stored across multiple cloud storages and integrated into AI-driven systems.
- Applied regression, decision trees, and ensemble models in Azure ML, successfully improving product adoption by 90%.
- Automated implementation of data validation and quality checks directly into the ETL process for SQL and NoSQL sources, ensuring high input consistency and model reliability.
Languages
Telugu
NativeEnglish
AdvancedGerman
IntermediateHindi
IntermediateEducation
Oct 2021 - Jun 2025
Friedrich-Alexander-Universität Erlangen-Nürnberg
M.Sc., specialization in AI and Data Science · Medical Engineering · Nuremberg, Germany · 2,3
Sep 2015 - May 2019
Sree Vidyanikethan Engineering College
B.Tech. · Instrumentation Engineering · Tirupati, India · 1,7
Certifications & licenses
Junior Data Scientist
Decision Point Analytics
Microsoft Azure AI Engineer Associate
Microsoft
Data Science Workshop
snowflake
Machine Learning Algorithms
Coursera
Terraform Associate
HashiCorp
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