• Leading the AI-LLM initiative within the Home Care organization to build a Handyman Chatbot Assistant leveraging ChatGPT, Langchain and Vector Databases. This tool will empower Hippo Agents to swiftly triage homeowner challenges and provide streamlined guidance, ensuring quicker and more accurate responses.

• Architected a Data Representation and Ingestion Flow System, enhancing app-wide data management and user experience. Positioned within the BFF layer and utilizing GraphQL and Typescript, the system integrates seamlessly with Hippo microservices, standardizing interactions across web and mobile platforms. This innovation slashed engineer time for creating new paths and navigation by 70%.

• Developed the Home Health Score for detailed property evaluations and co-created the Home Actions Recommendation System, streamlining task scheduling and maintenance recommendations.

• Being an inaugural member of the Home Care team, significantly influenced user experience, spearheading the Hippo app’s Home Profile feature. Worked in close conjecture with the Product team on comprehensive domain understanding, enhancing engagement and enabling self-sufficient homeowners.

• Technical Stack: Typescript, Python, GraphQL, ChatGPT, Langchain, Vector Database, EC2, RDS.

• Spearheaded the design and development of robust APIs, enabling the seamless sharing of curated Goodreads data with Kindle teams, thereby enhancing their personalization models. Orchestrated the creation of data pipelines for automated data refresh.

• Engineered an administrative tool to efficiently manage access to the Goodreads public API, resulting in an impressive 85% reduction in scraping and abusive usage. This solution eliminated the need for manual intervention, saving multiple development hours during spam attacks. Orchestrated the sunsetting of vulnerable public APIs.

• Orchestrated the strategic design and migration of Authentication and Authorization Services, transitioning from an in-house solution to Amazon Identity Service, serving 1.2 million customers.

• Provided mentorship to summer interns on short-term projects and facilitated the onboarding of full-time engineers within the Foundation Team, guiding them through intricate technical initiatives.

• Technical Stack: Ruby, Java, Rails, MySQL, Various AWS and Amazon Technologies (EC2, DynamoDB, Aurora, RDS, CDK, CFN, Lamba, Cradle, APIGateway, etc.).

• Collaborated on the creation of a Default and Behavior-based Personalization agent, focusing on developing services to deliver personalized events, item SKUs, and content recommendations throughout the Wayfair application and email ecosystem. Leveraged these enhancements to drive targeted advertising initiatives for potential customers to drive revenue generation.

• Worked closely with Data Scientists to establish a platform for streamlined deployment and updates of Machine Learning models. Introduced Hot and Cold storage capabilities to optimize the management of Machine Learning models, ensuring efficient and scalable operations.

• Played a key role in fine-tuning the API and website components, resulting in substantial improvements to overall website performance. This included optimizing critical aspects of the website's technical infrastructure and functionality.

• Technical Stack: Python, React, JavaScript, Airflow, SQL, Hive-Hadoop.

• Handle technical tasks and difficulties for the Computer Science Dept., faculty and students.

• Responsible for handling department accounts, department systems and servers.

• Shell scripts to manage and automate various tasks throughout the department.