TEN Enigma @ Amazon

Role: Senior Software Development Engineer

since February 2025: technical lead on decoupling product titles shown to customers to those used in the search stack. Designing the algorithms and service to generate these search titles from product information and past searches. Led the discussions on the strategy for generating the search titles and achieved alignment with key stakeholders from catalog. Intended goal of the project is to allow catalog teams to experiment with improving product titles shown to customers while ensuring no negative impact on the search experience. Key challenges are to develop a robust procedure to automatically generate accurate search titles for each product & to achieve the required scale for the 200 product categories planned for 2025 - Project is ongoing

Leading the design and implementation of an SEO tool using LLMs to augment product content. The tool uses existing search information to identify product niches to reduce competition for products. Scaled the system to 1M products analzyed per day. Main challenges were to integration of LLMs as slow, expensive and probabilistic components - reduced costs by proposing and implementing pre-filters and scaled the LLM throughput 18x through parallelization. The project led to 9M+ augmented product titles between June and December 2024 with an average search impression increase of 56% covering 3P products on Amazon stores worldwide. Drove an experiment on 34k products with existing search issues (missing terminology / ranking issues). Augmenting these products using the SEO tool developed resulted in an 11% OPS uplift (~$625k). Used these insights to influence leadership to change the direction of the project for 2025 into focusing on these higher-demand products.

Led the design and implementation of a new system extracting search insights into actions (creating new products in stores, identifying product defects preventing them from being searchable). Ensured the extensibility of the system for new use-cases and supported the Business Team to identity new integration points with other teams to broaden the impact made by Enigma. Scaled the system to 50M+ search queries & 100M+ products / week resulting in 300M USD monthly revenue in 2024.

TEN Search Matching @ Amazon

Role: Software Development Engineer II

Drove the development of an analysis tool to quantify indexing gaps and the impact of individual attributes in search.

Simplified the indexing logic for several attributes to be included by default for new store launches, resulting in higher search result relevance, increased sales, saving ~2 SDE weeks / marketplace launch.