Orcasmatron1 User

Lead product and technical scope definition within a cross-functional pod, driving a 0→1 GenAI collaborative platform from concept to deployment. Define technical specifications and feature roadmaps for Generative AI and LLM workflows, establishing evaluation criteria that balance model latency, hallucination risk, and end-user trust.

Partnered cross-functionally with Product Managers and UX leads to scope, sequence, and ship major user-facing features for a mission-critical platform serving 4M+ researchers globally. Core contributor to a multi-year strategic re-platforming initiative (Next.js modernization), evaluating technical-to-product trade-offs that enhanced platform performance, stability, and page delivery speed.

Delivered modular features within a distributed micro-UI/microservices architecture during a large-scale monolith decomposition, aligning technical execution with design system roadmaps. Facilitated Agile ceremonies (sprint planning, backlog refinement, stand-ups), streamlining cross-functional execution between developers, designers, and product owners.

Selected for a competitive technology rotation across front-end and back-end engineering teams, gaining end-to-end understanding of large-scale distributed systems and data pipelines.

Pursuing an Executive MBA with a focus on Product Strategy, Technology Commercialization, Financial Modeling, and Organizational Leadership. Expected graduation in 2027.

Grade: 9.23/10

MSc in Materials Physics and Technology with a focus on Computational Materials Science (Molecular Dynamics). Graduated with a GPA of 9.23/10 and published research in the Journal of Applied Physics.

BSc in Physics with a selected stream in Astronomy and Space Mechanics. Graduated in 2014.