Bharat Puri

AI Researcher

Stuttgart, Baden-Württemberg, Germany1 yr 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in developing machine learning models for anomaly detection.
Proficient in cloud computing and data science methodologies.
Strong background in software development and UI/UX design.

Stackforce AI infers this person is a Data Scientist with expertise in AI and cloud-based solutions.

Contact

Skills

Core Skills

Machine LearningData ScienceCloud ComputingArtificial IntelligenceSoftware DevelopmentUi/ux Design

Other Skills

DatabricksMLflowAnomaly DetectionContrastive LearningU-NetRandom ForestKNNMLPPythonAWS SageMakerOCRLLMsSeleniumData AugmentationDeep Learning

About

Master of Science in Computer Science student at the University of Stuttgart, specializing in Autonomous Systems. Currently contributing as a Working Student Data Scientist at Bosch Sensortec GmbH, with responsibilities that include developing advanced machine learning models, such as a time-aware attention autoencoder for anomaly detection, and deploying robust prediction systems using tools like Databricks and MLflow. Previous roles include a Werkstudent Data Scientist position at CELLFORCE GROUP, where contributions involved developing scalable OCR APIs with LLMs and optimizing AWS SageMaker pipelines for improved data analysis. Background also includes AI research at Stuttgart Media University, focusing on lightweight neural network models and data augmentation techniques. Skilled in WPF development, AI, and scalable system design, with a strong interest in leveraging technology for impactful solutions in automotive and data science industries.

Experience

1 yr 3 mos

Total Experience

1 yr 3 mos

Average Tenure

Current Experience

Bosch sensortec gmbh

Working Student Data Scientist

Oct 2025 – Present · 8 mos · Reutlingen, Baden-Württemberg, Germany · Hybrid

Developed a time-aware attention autoencoder for anomaly detection using advanced techniques like contrastive learning and KL annealing.
Built and deployed a production-grade U-Net prediction model on Databricks, ensuring reliable model performance through MLflow tracking.
Created a regression pipeline combining Random Forest, KNN, and custom MLP to enhance prediction quality and stability.

DatabricksMLflowMachine LearningAnomaly DetectionData Science

Cellforce group

Werkstudent Data Scientist

Apr 2025 – Sep 2025 · 5 mos · Kirchentellinsfurt, Baden-Württemberg, Germany · Hybrid

Developed and deployed 6 scalable OCR APIs using Python and LLMs (OpenAI/GPT) to extract structured data from technical documents; integrated with a fully functional frontend and deployed the complete application via AWS Amplify for use by production engineers.
Optimized data lake operations in AWS SageMaker, improving data availability and analysis speed by 30%; contributed to key studies on heat conductance and cell performance, enabling insights into thermal efficiency.
Developed a project using LLMs to scan for patents, automatically download PDFs, extract text content, and store it in a structured format within the database, enhancing IP research and traceability.
Automated software testing using Selenium, reducing manual QA effort by over 60%; additionally automated the preprocessing pipeline for ML training, accelerating model experimentation and iteration.
Designed a Bayesian model–based test recommendation engine to prioritize next experiments under data constraints, improving experimental planning and decision-making.
Engineered domain-specific prompts using OpenAI APIs to boost information extraction and automated reporting from the company’s internal AI models.
Contributed to extensive studies on battery parameters, analyzing and benchmarking performance metrics critical to product development.

PythonAWS SageMakerOCRLLMsSeleniumData Science+1

Stuttgart media university

Research Assistant-AI

Mar 2025 – Mar 2025 · 0 mo · Stuttgart, Baden-Württemberg, Germany · Hybrid

Implemented Gaussian-based data augmentation techniques to simulate realistic input variations, significantly improving model robustness and generalization.
Applied deep learning integrated with Fish Swarm Optimization (FSO) to optimize neural network training, resulting in faster convergence and improved model accuracy.
Designed and trained lightweight neural network models that achieved real-time inference with 80% accuracy, making them suitable for deployment in resource-constrained environments.
Developed automated scripts on Google Cloud Platform (GCP) to manage and update scientific data entries, ensuring seamless synchronization with the existing database infrastructure.

Data AugmentationDeep LearningGoogle Cloud PlatformArtificial Intelligence

Eurofins it delivery center

2 roles

Associate Software Developer

Jun 2023 – Sep 2024 · 1 yr 3 mos · Bengaluru, Karnataka, India

Increased code coverage across the project from 60% to 92%, significantly improving test reliability and maintainability.
Led the development and implementation of 5 RESTful APIs, enabling efficient and secure CRUD operations.
Integrated APIs with a WPF-based UI, resulting in a performance improvement compared to the legacy system.
Designed and implemented a bridge between multiple databases, streamlining data access and supporting system unification.
Spearheaded critical code changes in a legacy API, achieving a solid performance enhancement and reducing response times drastically.

C#.NET FrameworkSQLWPFAngularSoftware Development

Intern

Feb 2023 – Apr 2023 · 2 mos · Bengaluru, Karnataka, India

Completed 3 months of intensive training in C# .NET and Angular, with a strong focus on full-stack development.
Gained hands-on experience with relational databases, including SQL, MySQL, T-SQL, and tools like SQL Server Management Studio (SSMS).
Developed and contributed to 2 end-to-end projects, writing over 5,000 lines of clean, maintainable code.
Implemented unit testing throughout the development process to validate functionality and ensure code reliability.
Built a solid foundation in backend logic, frontend design, and database integration, preparing for real-world development challenges.

C#.NET FrameworkAngularSQLSoftware Development

Sensesemi technologies private limited

Intern

Mar 2022 – Jun 2022 · 3 mos · Bangalore Urban, Karnataka, India · Remote

Collaborated on designing the workflow and user experience for a product using Figma, focusing on intuitive and user-friendly UI/UX design.
Played a key role in creating wireframes, prototypes, and interface elements to improve usability and visual consistency.
Took the initiative to explore AWS services, developing an understanding of how cloud infrastructure supports app deployment and scalability.
Bridged the gap between design and development by aligning UI concepts with technical feasibility.

FigmaAWSUI/UX Design