Arun Sai Thunga - AI-Backend Developer Intern

Q: Where is Arun Sai based?

Arun Sai is based in Erlangen, Germany .

Q: What languages does Arun Sai speak?

Arun Sai speaks the following languages: Telugu (Native), English (Advanced), German (Intermediate), Hindi (Intermediate) .

Q: How many years of experience does Arun Sai have?

Arun Sai has at least 4 years of experience. During this time, Arun Sai has worked in at least 5 different roles and for 5 different companies . The average length of individual experience is 10 months . Note that Arun Sai may not have shared all experience and actually has more experience.

Q: What is Arun Sai's latest experience?

Arun Sai's most recent position is AI-Backend Developer Intern at Calvergy UA .

Q: What companies has Arun Sai worked for in recent years?

In recent years, Arun Sai has worked for Calvergy UA , Deeptronics GmbH , AVL List GmbH , Chair of Factory Automation and Production Systems , and Decision Point Analytics .

Q: Which industries is Arun Sai most experienced in?

Arun Sai is most experienced in industries like Information Technology (IT) , Manufacturing , and Professional Services . Arun Sai also has some experience in Automotive and Energy .

Q: Which business areas is Arun Sai most experienced in?

Arun Sai is most experienced in business areas like Information Technology (IT) , Business Intelligence , and Research and Development (R&D) . Arun Sai also has some experience in Product Development and Operations .

Q: What is Arun Sai's education?

Arun Sai holds a Master in Medical Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg and a Bachelor in Instrumentation Engineering from Sree Vidyanikethan Engineering College .

Q: Does Arun Sai have any certificates?

Arun Sai has 4 certificates . Among them, these include: Microsoft Azure AI Engineer Associate , Data Science Workshop , and Machine Learning Algorithms .

Recommended expert

Erlangen, Germany

Experience

Oct 2025 - Present

4 months

Aachen, 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 months

Lauf 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 months

Graz, 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 months

Nuremberg, 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 months

New 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.

AI-Powered Multilingual Customer Support Chatbot

Developed a multilingual support chatbot using Hugging Face Transformers, deployed via Docker, Kubernetes, and Jenkins with Ray-based tuning; achieved 87% intent detection accuracy and robust CI/CD automation.

Generative AI Conversational Chatbot

Built and deployed a scalable generative AI chatbot using LangChain and RAG on Azure, utilizing Azure Functions, Azure Machine Learning, and Azure Kubernetes Service (AKS) with CI/CD pipelines and auto-scaling for high reliability and real-time NLP performance.

Summary

MLOps Engineer with 4+ years of experience building and deploying robust, production-ready ML pipelines on Azure. Skilled in CI/CD, MLflow, automated retraining, and model monitoring with Prometheus/Grafana. Strong background in scalable ML orchestration using Kubernetes and Airflow.

Skills

Mlops & Automation
Ci/cd For Ml Models
Data Preparation & Feature Stores
Model Monitoring & Drift
Azure & Container Orchestration
Programming Languages & Development Tools: Proficient: Python, R, Git, Gitlab Ci, Jenkins; Intermediate: Terraform, Jira
Machine Learning & Ai Techniques: Proficient: Tensorflow, Pytorch, Llms, Sklearn, Mlflow, Mlops, Opencv
Data Visualization & Monitoring: Proficient: Power Bi, Grafana, Prometheus; Intermediate: Evidently-ai, Trulens
Cloud Technologies & Infrastructure: Proficient: Microsoft Azure (Aks, Azure Ml, Azure Data Factory), Airflow, Docker, Kubernetes
Databases & Apis: Proficient: Sql, Postgresql, Fast Apis; Intermediate: Rest Apis

Languages

Telugu

Native

English

Advanced

German

Intermediate

Hindi

Intermediate

Education

Oct 2021 - Jun 2025

Friedrich-Alexander-Universität Erlangen-Nürnberg

M.Sc., specialization in AI and Data Science · Medical Engineering · Erlangen, Germany · 2,3

Sep 2015 - May 2019

Sree Vidyanikethan Engineering College

B.Tech. in Instrumentation Engineering · Instrumentation Engineering · Tirupati, India · 1,7

Certifications & licenses

Microsoft Azure AI Engineer Associate

Microsoft

Data Science Workshop

snowflake

Machine Learning Algorithms

Coursera

Terraform Associate

HashiCorp

Profile

Created

December 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Arun Sai based?

Arun Sai is based in Erlangen, Germany.

What languages does Arun Sai speak?

Arun Sai speaks the following languages: Telugu (Native), English (Advanced), German (Intermediate), Hindi (Intermediate).

How many years of experience does Arun Sai have?

Arun Sai has at least 4 years of experience. During this time, Arun Sai has worked in at least 5 different roles and for 5 different companies. The average length of individual experience is 10 months. Note that Arun Sai may not have shared all experience and actually has more experience.

What roles would Arun Sai be best suited for?

Based on recent experience, Arun Sai would be well-suited for roles such as: AI-Backend Developer Intern, DevOps & Machine Learning Intern, Master's Thesis – Anomaly Detection in Time Series using ML/DL.

What is Arun Sai's latest experience?

Arun Sai's most recent position is AI-Backend Developer Intern at Calvergy UA.

What companies has Arun Sai worked for in recent years?

In recent years, Arun Sai has worked for Calvergy UA, Deeptronics GmbH, AVL List GmbH, Chair of Factory Automation and Production Systems, and Decision Point Analytics.

Which industries is Arun Sai most experienced in?

Arun Sai is most experienced in industries like Information Technology (IT), Manufacturing, and Professional Services. Arun Sai also has some experience in Automotive and Energy.

Which business areas is Arun Sai most experienced in?

Arun Sai is most experienced in business areas like Information Technology (IT), Business Intelligence, and Research and Development (R&D). Arun Sai also has some experience in Product Development and Operations.

What is Arun Sai's education?

Arun Sai holds a Master in Medical Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg and a Bachelor in Instrumentation Engineering from Sree Vidyanikethan Engineering College.

Does Arun Sai have any certificates?

Arun Sai has 4 certificates. Among them, these include: Microsoft Azure AI Engineer Associate, Data Science Workshop, and Machine Learning Algorithms.

What is the availability of Arun Sai?

Arun Sai is immediately available full-time for suitable projects.

What is the rate of Arun Sai?

Arun Sai's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.