About Me
I'm a Data Science student and software engineer building intelligent, scalable systems that solve real-world problems across diverse domains - from neuroscience research to warehouse operations or to healthcare. I thrive at the intersection of machine learning, backend engineering, and product, turning complex ideas into reliable, impactful applications. My ultimate goal is to leverage these skills to create solutions that positively impact millions of people.
I develop AI-driven products end-to-end, from data and model development to backend infrastructure and user-facing tools. I've built and deployed LLM-powered systems, analytics pipelines, and cloud-native services, always aiming to create clean interfaces that make complex systems easy to use.
What I'm Doing
Machine Learning & AI
Developing and deploying machine learning and AI systems, including LLM-powered applications, computer vision models, and predictive pipelines for real-world use cases.
Data Science & Analytics
Working with structured and unstructured data to build analytics pipelines, evaluate models, and surface insights using Python, SQL, and statistical techniques.
Backend Development
Building scalable backend systems and microservices for AI-driven applications, including REST APIs, RAG pipelines, database integrations, and cloud-native deployments.
Frontend Development
Developing practical, data-focused frontends and internal tools with React to enable users and engineers to interact with models, APIs, and secure systems.
Professional Experience
