I am a quirky data analyst and AI ML engineer with demonstrated experience at Merck KGaA in Darmstadt and a master’s degree in Applied Data Science and Analytics from SRH University. I am adept at working on platforms like Palantir Foundry and Azure DevOps, collaborating across cross-functional teams to develop robust real-time solutions. I have a strong desire to continuously learn and share my skills with others. My expertise includes integrating AI models with vector databases to enable efficient semantic searches, real-time insights, and interactive data visualizations. I have implemented multi-agent chatbots and developed AI-driven applications that comply with GDPR regulations. I am proficient in various programming languages and tools such as Python, SQL, JavaScript, and frameworks like FastAPI, PyTorch, and TensorFlow. I have experience in training and deploying text-to-speech models with emotional control capabilities and have contributed to projects involving large-scale text processing and AI agent development. I am passionate about leveraging AI and data science to drive actionable insights and improve decision-making processes. I am currently based in Germany and am open to full-time opportunities where I can apply my skills and grow professionally.
Software and applications development and analysis
Developed and maintained FastAPI endpoints integrating MyGPT (LLM) with Qdrant and SQL Function for semantic searches and real-time insights. Implemented metadata-driven SQL queries via Azure DevOps pipelines, reducing manual query effort by 40%. Streamlined data retrieval processes, accelerating retrieval time by 30%. Presented actionable data insights and visualizations to stakeholders. Implemented Palantir AIP multi-agent chatbot with dynamic filtering over dashboards.
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