You can read my blog "The Curiosity Ledger"

About Me

Hello! I'm Jenil Shah, an Software Engineering Manager based in Seattle, Washington. With a passion for technology and innovation, I've worked across various domains with primary focus on recommendation systems, personalization, and AI.

I have my feet firmly planted in two worlds: my heart beats in code as a Software Engineer, and my brain buzzes with strategy as an Engineering Manager. My interests span across productivity, machine learning, LLMs, finance and outdoor activities.

Professional Experience

I currently work at Amazon leading the Multi Entity Similarities team, where we build similarities and innovative recommendation experiences for books across Amazon platforms including Amazon website, Amazon mobile app and Search.

Previous Experiences

Books Personalization, Amazon: Led team building personalized book experiences, created streaming/batch data platforms, and spearheaded adoption of orchestration frameworks and data science modeling platforms.

Alexa AI, Amazon: Early engineer tackling dynamic ranking and skill arbitration challenges; collaborated on large-scale domain classification. Read more.

Ford: Simulated 360-degree and towing features for Ford sync panels using Qt, Matlab, and Simulink to identify and fix edge cases before production.

Program Committee

[Recsys 2025] 19th ACM Conference on Recommender Systems

[IISA 2025] The Sixteenth International Conference on Information, Intelligence, Systems and Applications

[BigDataService 2025] IEEE International Conference on Big Data Computing Service and Machine Learning Applications

Volunteer Work

Open Source AI Hackathon - Hackathon Judge: Judged the Open Source AI hackathon at Microsoft Reactor in Seattle, engaging with 13+ teams to explore project motivations and technological approaches.

IEEE Student Webmaster: Managed web resources for IEEE student members, facilitating communication and resource sharing; organized national events with 500+ student participation.

Journal/Academic Papers

Simple and Effective OCR: Developed an OCR system for digit detection using background pixel range and intrinsic ratio, addressing overlapping digits recognition. Read paper.

Feature Based Opinion Mining of Amazon and Best Buy Reviews: Implemented a data science pipeline for review classification using NLP and data mining techniques. Read paper.

Weekend Projects and Prototypes

ncovindia: Developed a web application tracking COVID-19 statistics in India with real-time data visualization and analysis.