Hi there! I'm passionate about the intersection of artificial intelligence and life sciences, focusing on building systems that transform complex medical data into actionable insights. Currently, I am pursuing my Master's in Applied Computational Life Sciences at the Zurich University of Applied Sciences (ZHAW), Switzerland, where my research centers on natural language processing (NLP) and large language models (LLMs) for medical applications.
For over three years, I contributed as a Product Developer at Lumel Technologies, where I created enterprise-scale data visualization solutions used by thousands of users worldwide. I developed and maintained 12+ custom Power BI visuals, achieving 92% client adoption and improving rendering performance by 35%. This experience strengthened my skills in software engineering, problem-solving, and delivering user-focused solutions that are both technically robust and visually compelling.
Today, my research centers on designing intelligent NLP systems that can understand and interpret complex biomedical literature, fine-tuning state-of-the-art models like Mistral-7B for medical applications, and developing genetic algorithms that optimize treatment protocols for complex diseases like diabetes. I'm driven by the belief that AI should be a force multiplier for human expertise, making advanced computational tools accessible to researchers and clinicians who are working to solve our most critical health challenges.
My programming journey began during my undergraduate studies in Computer Science at Panimalar Engineering College (Chennai, India), where I was initially drawn to the logical problem-solving nature of coding. What truly sparked my passion was discovering how data visualization could tell compelling stories. During my internship at Solarillion Foundation, I worked on predictive models for flight delays using weather data, and witnessing complex data transform into actionable insights was a pivotal moment that shaped my career trajectory.
I'm driven by the profound impact that intelligent systems can have on human lives. Having developed enterprise solutions used by thousands of professionals, I've seen firsthand how well-crafted technology can amplify human capabilities. The transition from building data visualization tools in finance sectorto AI-powered medical systems represents my evolution toward solving more meaningful problems. Every algorithm I design, every model I fine-tune, is guided by the question: "How can this make a researcher's work more effective or a patient's outcome better?"
My vision is to become a leading AI researcher and entrepreneur who bridges the gap between cutting-edge computational methods and practical healthcare applications. I aspire to establish research initiatives that democratize AI tools for biomedical discovery, making advanced NLP and machine learning accessible to researchers regardless of their technical background. Ultimately, I want to lead teams that create AI systems capable of accelerating drug discovery, optimizing treatment protocols, and uncovering hidden patterns in medical data that could save lives.
I believe in "learning by building", every concept I study must be applied to real-world problems. My technical playground includes Python for AI/ML development, spaCy and Transformers for NLP, and JS Libraries and React for interactive visualizations. I'm particularly excited about large language models and their potential for biomedical applications, constantly experimenting with fine-tuning techniques and prompt engineering. My approach combines rigorous scientific methodology with rapid prototyping. I read the latest papers, implement the techniques, and immediately test them against real biomedical datasets.
Beyond my professional pursuits, I find joy and inspiration in diverse activities that fuel my creativity and keep me grounded.