PARTH JINGER

I am an engineer focused on building intuitive, collaborative tools that help people think and work better together. I combine full-stack development, data visualization, and machine learning with a strong product-minded approach.

At Cytel, I engineered end-to-end ML pipelines, developed recommendation engines, and implemented Explainable AI solutions, improving model performance and stakeholder trust. I rewrote performance-critical statistical routines in C++ and championed high-performance computing initiatives that reduced simulation times dramatically.

I build interactive data-driven interfaces using React and Plotly, and design scalable server-side systems with Node.js and FastAPI. I also produced research on Survival GANs for synthetic clinical data, evaluating fidelity and privacy trade-offs for medical AI applications.

I take ownership of projects end-to-end, proactively communicate progress, mentor peers, and advocate for simplicity, interoperability, and user-centered design to deliver scalable, maintainable solutions.