Building large-scale agentic AI systems at Deutsche Telekom Digital Labs for millions of users across highly regulated European environments. Specializing in production conversational AI, GenAI architectures, AI safety & guardrails, and revenue-driven intelligence with measurable business impact.
Building intelligent systems with machine learning, NLP, and deep learning
Extracting insights from data through statistical analysis and predictive modeling
Creating next-gen applications with LLMs, chatbots, and generative AI
Python, Java, JavaScript, SQL, R
Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, LightGBM
LLMs (GPT, Llama), LangChain, Hugging Face, NLTK, SpaCy, RAG
AWS (S3, EC2, Lambda, SageMaker), Azure, Google Cloud
Docker, Kubernetes, Git, Jira, Confluence, FastAPI, Streamlit
PostgreSQL, MongoDB, Cassandra, Apache Spark, Pandas, NumPy
Generative AI applications and experiments using LLMs and modern AI frameworks
PythonIntelligent conversational AI system with natural language understanding
PythonNLP model for classifying mixed Hindi-English text using machine learning
Jupyter NotebookAdvanced NER system for extracting entities from unstructured text
Jupyter NotebookMachine learning model to predict loan approval using classification algorithms
Jupyter NotebookBinary classification model for predicting insurance cross-selling opportunities
Jupyter Notebook