Senior Engineer at Reddit

Built large-scale full-stack systems using Python, Flask, TypeScript, and Next.js to support high-traffic community-driven platforms with millions of daily interactions. Developed scalable backend services and APIs emphasizing reliability, observability, and performance. Designed AI-powered automation and knowledge platforms using RAG architectures for intelligent content understanding, search relevance, and internal knowledge automation across large-scale user-generated data. Implemented multi-step LLM workflows with LangChain using OpenAI models (retrieval, ranking, reasoning, and post-processing) with deterministic, explainable, and cost-effective behaviors. Integrated Pinecone vector databases for semantic search, embedding/chunking strategies, and metadata-driven pipelines. Implemented LLM evaluation and monitoring frameworks measuring retrieval precision, response quality, latency, and token usage to drive data-driven improvements. Deployed and managed cloud infrastructure on

Senior Software Engineer at Reddit

Built large-scale full-stack systems using Python, Flask, TypeScript, and Next.js supporting high-traffic community-driven platforms with millions of daily interactions. Developed scalable backend services and APIs with reliability, observability, and performance in mind, enabling seamless integration between AI services, data pipelines, and frontend applications. Designed AI-powered automation and knowledge platforms using RAG architectures to improve intelligent content understanding, search relevance, and internal knowledge automation across large-scale user-generated data. Implemented multi-step LLM workflows with LangChain, orchestrating retrieval, ranking, reasoning, and post-processing stages with OpenAI models to keep results deterministic, explainable, and cost-effective. Integrated Pinecone vector databases for semantic search over massive volumes of unstructured text, optimizing embedding strategies, chunking pipelines, and metadata. Implemented LLM evaluation and monitori

Senior Software Engineer at DoorDash

Developed an MVP mobile application using React Native, delivering a cross-platform iOS and Android experience showcasing local businesses, events, and attractions in the Mass Ave Cultural District. Implemented core app features including business listings, event discovery, interactive maps, and detail views with an intuitive navigation flow and clean, user-friendly UI. Built reusable, modular React Native components and applied state management and hooks best practices for maintainable, scalable code. Integrated external APIs and backend data sources to dynamically fetch and display content. Implemented loading states, error handling, and basic caching to support unreliable network conditions. Collaborated with stakeholders to define MVP scope, iterate quickly on feedback, and prioritize high user value features while minimizing development time.

Software Engineer at Google

Built and maintained user-facing product surfaces used across Google consumer and internal platforms, delivering end-to-end features using React (TypeScript) on the frontend and Node.js backend services. Architected complex React applications using functional components, hooks, and shared design system libraries, implementing advanced state management patterns, code-splitting, and accessibility standards for high-traffic experiences. Built and maintained Node.js backend services and API layers responsible for request orchestration, data aggregation, and business logic, integrating with multiple internal Google services while meeting strict latency, reliability, and correctness requirements. Led development of SSR and hybrid rendering pipelines for SEO-critical and performance-sensitive pages, optimizing Time to First Byte (TTFB) and strengthening backend/frontend API contracts using typed schemas, versioning strategies, and backward compatibility. Drove end-to-end performance impro

Tools Engineer at Disney ABC Television Group

Developed and maintained internal tools to support content production, scheduling, and operational workflows for production teams. Built web-based internal tools using ECMAScript and lightweight backend services. Implemented role-based Work API integrations to automate manual content production and operational processes for editors, producers, and broadcast staff. Integrated internal tools with existing CMS systems and media metadata services to ensure accurate tracking of shows, episodes, and broadcast assets. Automated workflow scripting and backend services with logging, retries, and failure notifications to reduce operational errors in time-sensitive production processes. Improved reliability and usability by addressing performance bottlenecks and UI responsiveness based on user feedback, participating in testing, deployment, and maintenance with minimal disruption to time-sensitive broadcast and production work.