Experience.

Overview:

Leading development initiatives in Amazon Advertising, focusing on platform optimization, AI-driven solutions, and team productivity enhancements.

Key Achievements:

• • Redesigned the backend for Amazon Ads' Book-of-Business site, enabling asynchronous data ingestion from 10+ sources and AI-driven account prioritization. Improved P99 page load latency from 30s to <1s, boosting user adoption by 35%
• • Created AI tool using LLMs to generate visualizations of advertiser metrics through prompts, saving 1,000 hours/month for sales teams using Bedrock, LangChain, LangGraph, Anthropic Claude, and Prompt Engineering
• • Designed and implemented Amazon Ads' "Manager View" web tool, enabling sales managers to track team performance. Information of ~4M accounts is precomputed, mapped to sales agents and presented to users with just 0.3s P99 latency
• • Led GenAI initiative, boosting developer productivity by 20% using Amazon Q assistants and MCP servers. Acted as Scrum Master since 2022, mentoring 5+ engineers and managing a team of 2

Overview:

Promoted to SDE2 in the Ship With Amazon team, leading event-driven architecture initiatives and operational efficiency improvements.

Key Achievements:

• • Designed event-driven services to enable use of containers in Amazon Shipping. Led 3 engineers through implementation and launch, resulting in $11.7M savings and 30% decrease in driver stop time

Overview:

Owned critical features for Amazon's shipping platform and Flex mobile application, supporting millions of daily customer interactions.

Key Achievement:

• • Designed, implemented and launched key customer-facing features for the Amazon Flex Android app (navigation, itinerary and package scanning), supporting over 18M daily interactions and the collection of 800,000 packages daily
• • Proposed & developed backend system to optimize stop-level package collection, increasing itinerary efficiency by 5%

Overview:

Developed a machine learning-based testing framework for Android applications that adapts test execution based on app characteristics and UI classification.

Key Achievements:

• • Built adaptive testing system using ML algorithms to classify Android apps and activities for optimized test case generation
• • Created modular framework with UI model building, automated classification, and reusable test script execution
• • Published thesis available at: UIC Indigo

Overview:

Three-month internship developing predictive maintenance solutions for industrial robotics at Comau's Innovation Team.

Key Achievements:

• • Developed Android Dashboard and backend for predictive maintenance, analyzing live statistics and errors from robotic arms in FCA assembly lines (including Maserati factory)

Overview:

Founded and led Android application development for BlindSpot Interactive, creating successful mobile apps published on the Google Play Store.

Key Achievements:

• • Developed and published multiple Android applications achieving 25,000+ total downloads and 2,000 monthly active installs
• • Generated revenue through AdSense monetization and user engagement strategies
• • Check out the Projects section for details on the apps developed during this period