Ali Shazal
Member Of Technical Staff at Anthropic
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolAli Shazal is an engineering leader and senior software developer with 8 years of experience building and scaling distributed systems and data pipelines for commerce and operations, most recently applying AI at Anthropic after roles at LinkedIn and noon. He has a track record of creating 0-to-1 products and systems that drove $100M+ revenue growth and large cost savings across supply chain, seller, and consumer domains, while architecting multi-region microservices, message queues, and optimization algorithms. A UC Berkeley M.Eng. graduate specializing in LLMs and distributed systems, he blends hands-on coding in Python, JavaScript and C/C++ with product and P&L ownership, having hired and mentored 150+ engineers. Notably, he led delivery of warehouse, last-mile, and inventory systems that improved operational efficiency by up to 250% and scaled to handle millions of items daily. He is passionate about applying AI to automate decision-making and operational workflows and excels at translating stakeholder roadmaps into production-grade, cost-optimized software.
8 years of coding experience
8 years of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at University of California, BerkeleyBachelor's Degree, Bachelor's Degree at New York University Abu Dhabi
English, Urdu, Hindi, Punjabi
Github Skills (2)
owl1
arabic1
Programming languages (5)
Github contributions (5)
alishazal/seq2seq-transliteration-tool
Dec 2019 - Oct 2020
Code for "Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models"
Contributions:150 pushes in 10 months
nlpsequencebertsequence-modelsword-embeddings
m1chae11u/Guess-the-Rule-LLM-Benchmark
Oct 2024 - Jan 2025
A dynamically reusable benchmark designed to evaluate Large Language Models’ abstract reasoning capabilities through continuously generated “Guess the Rule” games. This repository features an automated rule generation system, customizable APIs for on-demand dataset creation, and an interactive game interface for robust and scalable LLM assessment.
Contributions:5 PRs, 65 pushes, 2 branches in 2 months
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