Projects

Building a financial analyst chatbot for a local financial strategy firm integrating AWS and Java. Uses Anthropic Bedrock for conversational AI with database retrieval capabilities for client portfolio analysis.

Enterprise conversational AI architecture covering security, compliance, scalability, and governance.

Advanced reasoning with LLMs including chain-of-thought, self-reflection, and metacognition.

Causal inference and experimental design for data-driven decision making.

Development of emotion-aware conversational AI systems that adapt responses based on user sentiment and context.

Research on computer vision systems for autonomous vehicles, focusing on real-time object detection and tracking.

AI orchestration and workflow management for complex multi-agent conversational systems.

Video understanding with AI including action recognition, tracking, and temporal modeling.

DataOps and modern analytics stack including data quality, lineage tracking, and observability.

NLP-based system for automated legal document analysis, classification, and key information extraction.

Research project on advanced time series models for stock market prediction using sentiment analysis and external factors.

Agentic AI systems with focus on planning, reasoning, and complex multi-step task automation.

AI agents and tool use with LLMs covering function calling, code generation, and autonomous systems.

Generative AI for data science including synthetic data generation, automated EDA, and AI-assisted analysis.

Applying AI techniques to process mining for automated bottleneck detection and workflow optimization recommendations.

Development of an intelligent search engine leveraging knowledge graphs and semantic understanding for improved retrieval.

Advanced conversational AI with Claude 3 focusing on long context, function calling, and enterprise applications.

Multimodal AI systems combining vision and language models for advanced applications like visual Q&A.

Modern data engineering with Python, dbt, and cloud platforms for scalable analytics solutions.

Exploring multimodal AI systems that combine text, image, and audio inputs for enhanced conversational experiences.

Design and implementation of real-time data analytics pipelines using Apache Kafka and stream processing.

Global workshop series for freight‑sales specialists, covering multimodal KI‑applications, prompting guidelines, compliance‑frameworks, and hands‑on case studies.

POC and pilot of a GenAI system that automatically generates partner‑specific content pages with tone‑matching and preview functionality.

Multi-agent conversational systems with specialized AI agents for complex problem-solving tasks.

Semantic search and vector databases covering embeddings, similarity search, and RAG architectures.

Real-time data processing and streaming analytics with Python using Apache Kafka and Spark.

Study of facial recognition algorithms and their ethical implications in security applications.

Research on extractive and generative question answering systems using retrieval-augmented generation (RAG).

Forecasting model for email, chat and phone support volumes across markets, customers, and languages to optimise resource planning.

End‑to‑end platform for automatic extraction, remodelling and annotation of financial documents to feed downstream reporting tools.

Workflow automation of booking‑requests, data capture, and real‑time sync via Zapier, RPA and webhook integration.

Building LLM applications with LangChain framework including agents, chains, and memory systems.

Generative AI for images including diffusion models, GANs, and practical applications in creative tasks.

MLOps and production-ready Python applications including model versioning, monitoring, and CI/CD pipelines.

Building demand forecasting systems for retail environments using ensemble methods and external regressors.

Framework development for automated workflow optimization using machine learning and process mining techniques.

Cloud‑native learning‑management SaaS that uses generative KI for quiz creation, performance analytics and gamified user engagement.

Modern conversational AI using Claude and GPT models with focus on prompt engineering and API integration.

Large language models and their applications in text generation, summarization, and question answering.

Data visualization and storytelling with Python and Tableau for business intelligence applications.

Building enterprise-scale knowledge graphs for improved information retrieval and semantic search capabilities.

Development of voice-enabled conversational systems using speech recognition and natural language understanding.

Enterprise-grade conversational AI platform delivering real-time financial intelligence, automated reporting, and interactive scenario analysis through natural language interfaces.

Automated extraction, transformation and remodelling of DATEV data into Tableau dashboards and financial reports.

Retrieval-augmented generation (RAG) systems for knowledge-intensive conversational AI applications.

Real-time object detection systems using YOLO and practical applications in video analytics.

Python for data science professionals covering advanced analytics, feature engineering, and model deployment.

Investigating effective data storytelling techniques and visual design principles for communicating insights.

Research on semantic segmentation approaches using U-Net and Mask R-CNN for medical imaging applications.

End‑to‑end ERP migration, legacy‑data cleanup, new Power BI data‑model, automated reporting and stakeholder training.

Building intelligent virtual assistants with context awareness and multi-turn dialogue capabilities.

Advanced NLP with transformers including BERT, GPT, and fine-tuning techniques for specific applications.

Data analytics with Python covering exploratory data analysis, hypothesis testing, and predictive modeling.

Advanced research on transformer-based text classification methods including BERT and RoBERTa.

Comparative analysis of ARIMA, Prophet, and LSTM models for multivariate time series forecasting.

Voice-enabled conversational systems and multimodal AI applications for enterprise automation.

Deep learning for computer vision including object detection, semantic segmentation, and transfer learning.

Python fundamentals with applied data science projects using Jupyter notebooks and modern visualization libraries.

Study on robotic process automation tools and their application in business process optimization.

Research on neural conversational architectures, including attention mechanisms and transformer models for dialogue systems.

Advanced conversational AI with focus on workflow automation and integration with business systems.

Machine learning specialization in NLP covering text preprocessing, word embeddings, and transformer models.

Python programming for data science with emphasis on statistical analysis and business intelligence dashboards.

Exploring semantic web technologies and knowledge graph construction methods for structured data retrieval.

Development of interactive visualization dashboards for business intelligence using Python and Tableau.

Course on building conversational AI systems with focus on chatbot development, NLU, and dialogue management.

Advanced machine learning course focusing on computer vision techniques including CNNs and image classification methods.

Introductory Python course covering data analysis with Pandas, NumPy, and visualization with Matplotlib for summer semester 2020 students.

Research on deep learning-based object detection methods, comparing YOLO and Faster R-CNN architectures.

University research project focused on sentiment analysis techniques and their applications in social media data analysis.