• Full-stack engineer (TypeScript, Golang, SQL) focused on product development within the workspaces team (panel and charting visualization dashboard page and UI)

• Led projects enabling stable panel links in large workspaces and filtering data across accounts

• Resolved high-priority bugs and reduced crash rates in core reporting flows

• Promoted to SWE III within a year for strong execution and cross-functional impact

• Full-stack engineer (Scala, React, Python, Flask, SQL) focused on internal tools and reliability

• Built internal platforms for on-call management and alert analytics to improve incident response

• Developed a deploy automation service to monitor dashboards and enable safe rollbacks

• Mentored a summer intern and junior engineer through daily support and guidance

• Promoted from SRE I to SWE II within a year for strong technical and team contributions

• Led weekly discussion sections for groups of 15+ students on linear algebra and electrical engineering concepts

• Held office hours weekly on homework and conceptual questions, encouraging students to ask questions and following the Socratic teaching method

• Held weekly tutoring sessions for 5+ students on electrical engineering and linear algebra problem sets

• Cultivated an inclusive learning environment by encouraging group discussion and relating the content to students' interests

• Developed a physics-guided neural network using TensorFlow, Python, and Jupyter Notebook emulating a process-based model, HYDRUS, to predict groundwater levels

• Presented a scientific poster outlining our methodology and the mass constraint incorporated in the neural network’s loss function