About

I am a graduate student of the program Intelligent Adaptive Systems (MSc.) at Universität Hamburg, Germany. My research interest is towards generative AI (text and vision), LLMOps and researching the use of LLMs for bioinformatics and cheminformatics domains.

I have hands-on knowledge in the latest genAI domain, including text models (GPT, Llama. Mistral), and vision models (GANs, DALL-E,GPT-4o). With 3 years of experience in fulfillment-based chatbots (RASA, Google DialogFlow), deep learning (CNNs, YOLO), software systems (Python Django, FastAPI, Flask), DevOps (Docker, k8s), and cloud services and system architecture (Terraform for IaaS, Microsoft Azure, GCP, AWS), my recent research focus is towards making generative AI productive to non-IT sectors of the industry.

I am working as a Student Assistant at Fraunhofer ITMP, Hamburg where I research on using LLMs, NNs on Knowledge Graphs for drug discovery. I am also writing my Master Thesis at Fraunhofer ITMP on the topic titled Leveraging LLMs for Enhanced Drug Discovery: Extracting Insights from Patents.

Previously I worked as a Data and Analytics Werkstudent at Crossnative where I developed and deployed client-specific LLM pipelines for business and finance. I also worked as a Werkstudent for ML Development at Adalab, and Machine Learning Engineer Intern at Robofied and Technocolabs.

You can find more about my experience and academic background on my CV.