• Own Autocomplete end-to-end: product feel, model behavior, latency, reliability, quality, and iteration velocity. • Build the benchmark that matters: not a vanity leaderboard — a real eval harness that tracks what users actually experience (acceptance rate, edit distance, time-to-accept, latency, regressions by language/project type). • Run tight experiment loops: tweak prompts, decoding, routing, caching, context packing, and ranking — then measure, learn, repeat. • Form strong opinions: FIM vs next-edit, speculative decoding, reranking, context window strategy, model routing, and how to trade off quality vs speed without lying to yourself. • Work directly with model creators: test new models early, give actionable feedback, and ship upgrades fast when something is truly better. • Ship constantly: small improvements weekly, bigger improvements monthly, and a compounding moat over time.

• Ship an internal release of a new feature in week 1 • Get plugged into the user community and start chatting with users in month 1 • Own a product area and measure feature performance in month 1 • Be flying across the code base with comfort, confidence, and purpose by month 3

• Work within a multidisciplinary SQUAD, participating in the entire application development lifecycle, from requirements gathering, analysis and architecture design to software development, production support, testing of new features and defect fixes. • Develop and maintain user-facing application features using ReactJS, React Native and C# .NET 8. • Gather and document functional requirements in collaboration with business stakeholders. • Provide system support, assisting customer support teams. • Participate in demand planning and track task progress. • Propose process improvements, promote organizational culture and embrace an "owner mindset" in task execution. • Publish and maintain application releases on the App Store and Google Play. • Ensure application stability, security, usability and accessibility. • Improve build and test automation tools and processes. • Define and maintain system architecture with a focus on deployment, maintenance, monitoring and troubleshooting. • Contribute to product and system quality overall, taking a broad view of the architecture and production behavior.

• Build and ship MVPs fast • Work hands-on with LLMs, APIs, and AI-assisted workflows • Use tools like Copilot, Cursor, GPT, Claude, etc. daily • Ship AI-powered product inside high-growth startups redefining fintech, biotech, and next-gen infrastructure.