AI-Driven Solutions: Enhancing Finance, Chemistry & Customer Support

• Designed and implemented AI-powered solutions across multiple industries, including financial services, chemistry and customer support, driving innovation and operational efficiency.
• Led end-to-end chatbot development for customer support, implementing retrieval-augmented generation (RAG) pipelines, prompt engineering and Responsible AI mechanisms to ensure transparency and high-quality recommendations.
• Optimized fraud prevention strategies by simplifying model pipelines, reducing the number of required models through effective customer segmentation and improving performance with enhanced feature engineering.

Key Technologies & Skills

Python · Microsoft Azure · Java · Docker · OpenSearch · TensorFlow · XGBoost · Spring Boot · PySpark · MLflow · Pandas · NumPy · Scikit-Network · Pyplot · JUnit · Pytest · FitNesse · HDFS · Apache HBase · Apache Kafka

Generative AI (GenAI) · Prompt Engineering · LLM (Large Language Models) · RAG (Retrieval Augmented Generation) · Natural Language Processing (NLP) · Responsible AI (RAI) · Explainable AI (XAI) · Continuous Integration (CI) · Machine Learning · Graphs · Clustering · Fraud Prevention · AFC (Anti Financial Crime)