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Hi, I'm Chirag Angadi, an experienced Agile Software Developer with over 3 years of experience at Bosch Group. I specialize in Machine Learning, Deep Learning, Data Science, and Computer Vision. I'm skilled in software engineering, automated testing, CI/CD integration, and data-driven modeling. My expertise lies in designing scalable software architectures and optimizing development workflows. Currently, I'm pursuing my Master of Science in Mechatronics at Universität Siegen, while working on exciting projects involving AI and physics-informed deep learning models. I enjoy automating workflows, improving model performance, and solving challenging problems with innovative AI approaches. Feel free to connect with me to discuss opportunities or collaborations!…Hi, I'm Chirag Angadi, an experienced Agile Software Developer with over 3 years of experience at Bosch Group. I specialize in Machine Learning, Deep Learning, Data Science, and Computer Vision. I'm skilled in software engineering, automated testing, CI/CD integration, and data-driven modeling. My expertise lies in designing scalable software architectures and optimizing development workflows. Currently, I'm pursuing my Master of Science in Mechatronics at Universität Siegen, while working on exciting projects involving AI and physics-informed deep learning models. I enjoy automating workflows, improving model performance, and solving challenging problems with innovative AI approaches. Feel free to connect with me to discuss opportunities or collaborations!

Chirag Angadi

Developer, AI Engineer, Data Scientist, +2

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Hi, I'm Chirag Angadi, an experienced Agile Software Developer with over 3 years of experience at Bosch Group. I specialize in Machine Learning, Deep Learning, Data Science, and Computer Vision. I'm skilled in software engineering, automated testing, CI/CD integration, and data-driven modeling. My expertise lies in designing scalable software architectures and optimizing development workflows. Currently, I'm pursuing my Master of Science in Mechatronics at Universität Siegen, while working on exciting projects involving AI and physics-informed deep learning models. I enjoy automating workflows, improving model performance, and solving challenging problems with innovative AI approaches. Feel free to connect with me to discuss opportunities or collaborations!…Hi, I'm Chirag Angadi, an experienced Agile Software Developer with over 3 years of experience at Bosch Group. I specialize in Machine Learning, Deep Learning, Data Science, and Computer Vision. I'm skilled in software engineering, automated testing, CI/CD integration, and data-driven modeling. My expertise lies in designing scalable software architectures and optimizing development workflows. Currently, I'm pursuing my Master of Science in Mechatronics at Universität Siegen, while working on exciting projects involving AI and physics-informed deep learning models. I enjoy automating workflows, improving model performance, and solving challenging problems with innovative AI approaches. Feel free to connect with me to discuss opportunities or collaborations!

Available to hire

Hi, I’m Chirag Angadi, an experienced Agile Software Developer with over 3 years of experience at Bosch Group. I specialize in Machine Learning, Deep Learning, Data Science, and Computer Vision. I’m skilled in software engineering, automated testing, CI/CD integration, and data-driven modeling. My expertise lies in designing scalable software architectures and optimizing development workflows.

Currently, I’m pursuing my Master of Science in Mechatronics at Universität Siegen, while working on exciting projects involving AI and physics-informed deep learning models. I enjoy automating workflows, improving model performance, and solving challenging problems with innovative AI approaches. Feel free to connect with me to discuss opportunities or collaborations!

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

German

Beginner

Work Experience

Fixed-Term at Robert Bosch GmbH (Bosch Research), Renningen, Germany

March 31, 2025 - July 22, 2025

Worked on Machine Learning based fatigue life prediction of metallic materials. Automated text data extraction using Azure Text Reader and data workflows, reducing manual effort by 80%. Built end-to-end ML pipelines for preprocessing, model training, and evaluation. Applied advanced data processing including feature engineering and anomaly detection. Optimized ML methodologies with Design of Experiments for small datasets. Deployed probabilistic ML models for uncertainty quantification improving prediction reliability. Enhanced neural network performance by 10% utilizing Transfer and Meta Learning. Used algorithms including deterministic and probabilistic neural networks, deep ensembles, random forest, GPR, and SVR.

Research Assistant - Interconnected Automation Systems at Universität Siegen, Germany

March 31, 2025 - July 22, 2025

Developed Physics informed Deep Learning models for Electric Motor Optimization. Automated simulation data extraction and statistical processing using Python. Engineered time series modeling pipelines with dataset preparation, custom loss functions, and sequential training strategies. Replaced expensive FEA simulations with deep learning models, achieving 20,000x inference speed-up. Modeled motor dynamics using Neural ODEs with RNN and RK4 integration, achieving sub-5% error in predictions. Designed and deployed lightweight neural networks for real-time model predictive control on embedded devices. Developed hybrid motor torque models combining analytical and machine learning methods within Neural ODE framework.

Senior Software Engineer at Bosch Global Software Technologies, Bangalore, India

August 31, 2022 - July 22, 2025

Led a team developing modular embedded software for start, idle, and emission control in gasoline and CNG engines. Integrated ML models into software stacks for engine parameter prediction, reducing experimental testing costs by 25%. Engineered cloud-based IoT devices for real-time vehicle data acquisition, eliminating on-site monitoring needs. Implemented CI/CD pipelines automating build, integration, and deployment of automotive embedded software. Automated vehicle data workflows and standardized reporting, cutting manual data processing by 40%. Developed and executed Hardware-in-the-Loop test cases validating automotive control software under real-time conditions.