Versatile Software Engineer with 8+ years of experience across the full software lifecycle, from architecting high-throughput distributed systems and data pipelines to developing data-driven LLM agents. Proven expertise in cloud-native platforms (Azure, AWS), delivering robust solutions in AdTech and e-commerce
Architected and implemented an AI-based campaign management system that autonomously generates and launches campaigns, delivering over 50M impressions for 100+ clients across Google and Meta platforms.
Designed the system's scalable, serverless architecture on Azure using Durable Functions to power the agentic website analysis and automated ad asset generation.
Led a team of 3 engineers to productionize the learnings from an agentic systems prototype, successfully developing and launching new text and image generation agents to power Meta and Google campaigns.
Engineered and productized a novel agentic system as a B2B offering for retail platforms, enabling deep analysis of website conversion funnels to generate critical improvement insights for SMB customers.
Built a full-stack customer management system with Stripe integration, developing ASP.NET Core microservices and AngularJS frontend to streamline customer billing and subscription management workflows.
Cut Azure cloud costs by over 50% by re-architecting LLM workflows from containerized Promptflow deployments to a more efficient serverless model using Azure Functions.
Preserved the integrity of critical user journey data for millions of users by engineering a fallback matching logic to counteract the industry-wide loss of mobile device identifiers (e.g., Apple's IDFA).
Played a key role in mitigating compliance risk by enhancing critical components of the Go-based user opt-out pipeline, guaranteeing the platform's adherence to data privacy regulations like GDPR and CCPA.
Designed and implemented production bidding algorithms for real-time bidding service, optimizing millions of ad bids across 13 global marketplaces generating tens of millions in incremental customer value.
Owned and optimized critical data pipelines using Apache Airflow, debugging failures and improving query performance to ensure reliable hourly, daily, and weekly data processing for real time bidding algorithms.
Reduced AWS operational costs by 20% and improved p99 latency by nearly 5% for a global bidding system (millions of RPM) by planning and executing a zero-downtime migration to ARM-based AWS Graviton instances.
Orchestrated the successful rollout of the v2 bidding algorithm across European and Eastern marketplaces, planning and deploying all required infrastructure and executing a phased dial-up that unlocked millions of dollars in new value.
Led the seamless migration of data access policies for over 50 critical Sponsored Products datasets, guaranteeing zero loss of access for 8 engineering teams during a company-wide deprecation of legacy access controls.
Significantly advanced Alexa's e-commerce platform by engineering the backend for a next-generation, multi-modal grocery experience, enabling customizable cart-building, personalized recommendations, and event-based campaigns.
Co-developed SRDR+, an NIH-funded systematic review platform built on Ruby on Rails, MariaDB, and Sidekiq, enabling thousands of research projects at top-tier universities globally.
Validated the efficacy of an ML abstract screening tool through thousands of simulations, culminating in a published study demonstrating the tool could reduce manual review effort by over 50% while maintaining 98% accuracy.