Hello, I'm
Engineering Leader & Staff Engineer
Building and scaling distributed systems serving millions of users. Leading cross-functional teams to deliver ML-powered solutions at scale.
I'm an Engineering Leader and Staff Software Engineer at Walmart Global Tech, leading multi-team engineering efforts across E-Commerce domains to deliver scalable, low-latency platforms serving millions of daily users.
With over a decade of experience, I specialize in building distributed systems, deploying ML-powered solutions, and leading cross-functional teams to deliver business-critical products. I champion engineering excellence through clean architecture, CI/CD best practices, robust observability, and a strong incident response culture.
I mentor engineers across levels, drive Agile delivery with quarterly OKRs, and align team efforts with business outcomes. I hold a Master's degree in Computer Science from USC, with focus on NLP, AI, and distributed systems.
Leading cross-functional teams, mentoring engineers, and driving Agile delivery with OKRs and metrics
Designing scalable, distributed systems handling millions of requests under strict SLAs
Deploying ML model inference workflows and ETL pipelines for real-time decisioning at scale
Building real-time pipelines with Kafka and stream processing for peak seasonal traffic
Led multi-team engineering efforts across E-Commerce domains, delivering scalable, low-latency platforms for product setup, translation, and order fulfillment systems supporting millions of daily users. Partnered with Product and Data Science teams to deploy ML-driven ranking and catalog content quality models.
Led a team to design and deploy scalable ETL pipelines for multilingual product catalog data, ensuring high-quality datasets for ML model training. Designed ML model inference workflows for search query and product translation.
Led a team of engineers in transforming the item setup pipeline to handle higher throughput and support cloud elasticity using principles defined in the Reactive Manifesto.
University of Southern California
Computer Science • Dec 2016 • GPA: 3.68
NLP, AI, Information Retrieval, Analysis of Algorithms
A system that automatically summarizes comments by selecting representative comments using topic-based clustering (LDA) and precedence-based ranking.
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A Naive Bayes classifier to identify hotel reviews as truthful/deceptive and positive/negative using sentiment analysis.
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A search engine built with crawler4j and Apache Solr, featuring PageRank algorithm, spell correction, and auto-suggest functionality.
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A game-playing agent using minimax algorithm with alpha-beta pruning to determine optimal moves in the ancient game of Mancala.
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Hidden Markov Model based POS tagger for Catalan language, using probabilistic sequence modeling for linguistic analysis.
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An inference engine implementing resolution-based theorem proving for first-order logic knowledge bases.
View ProjectI'm always interested in hearing about new opportunities, collaborations, or just having a chat about technology. Feel free to reach out!