Alex Mirov is a computer scientist and software engineer based in San Francisco with eight years of experience building data pipelines, production microservices, and scalable analytics systems. At Syllable he designed and iterated two generations of analytics pipelines—moving the company from hourly batch reporting to sub-minute streaming ingestion—using Python, AWS (Lambda, S3, SQS, Kinesis, Redshift), dbt, and Elasticsearch. He brings an operator’s mindset from work across serverless systems, BI tooling, and monitoring stacks, and has a history of singlehandedly shipping core infrastructure that materially improved latency and scalability. Earlier roles span ML prototyping with PySpark and scikit-learn, chatbot and serverless app development, and process-heavy quality systems work, illustrating a blend of product-facing engineering and disciplined operational rigor. Seeking growth into software engineering roles with project management and leadership responsibilities, he pairs hands-on technical depth with experience leading small teams and cross-functional initiatives.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of California, Davis
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