Abhishek Barla is a software engineer with 11 years building low-latency, resilient distributed systems and ML platforms for companies like Snap, Uber, Adobe, and Apple. He designs end-to-end feature management and real-time aggregation systems that support high-throughput inference and batch training across Ads, Maps, Search, and Ranking domains. Comfortable across Java, Go, Python, and cloud-native tooling, he has repeatedly delivered money- and revenue-impacting services (notably fares/tax systems at Uber) while improving developer experience and internal infrastructure. Based in Los Angeles, he pairs hands-on engineering with mentoring and organizational culture work, and brings a systems-first mentality from an electrical engineering background. An unusual strength is his blend of ML platform engineering and production financial systems experience, enabling pragmatic solutions that balance model needs with business constraints.
11 years of coding experience
6 years of employment as a software developer
Bachelors of Science Electrical and Electronics Engineering, Bachelors of Science Electrical and Electronics Engineering at Florida Institute of Technology
Executive Education at Uber, Executive Education at Uber at Harvard Business School Online
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