Abhay Alekal
Principal Engineer at Palo Alto Networks
Bengaluru, Karnataka, India
Summary
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Senior🎓
Top SchoolAbhay Alekal is a Principal Engineer based in Bengaluru with 11 years of experience building reliable, scalable backend systems and production-ready machine learning solutions. He has driven end-to-end work at Amazon—designing event schemas, real-time GraphQL APIs, and transforming legacy pipelines—and now leads architectural efforts at Palo Alto Networks. Previously he built personalized ML features and cost-saving CV models at Gradeup, cut OCR costs nearly in half, and delivered a large-scale spam filter that improved content quality and retention. Comfortable across backend, data pipelines, and ML, he also has hands-on experience leading small teams and re-architecting systems for maintainability and performance. Notably, his work includes practical optimizations (e.g., reducing DynamoDB tables from 40 to 9 and a 27% picker path improvement) that blend algorithmic insight with product impact.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (BE), Information Science and Engineering, CGPA: 8.43 (Maximum 10), Bachelor of Engineering (BE), Information Science and Engineering, CGPA: 8.43 (Maximum 10) at PES UniversityNanodegre, Machine Learning Engineer, Nanodegre, Machine Learning Engineer at UdacityProgramming languages (1)
Github contributions (5)
abhayalekal74/mathpx
Apr 2019 - Dec 2019
Contributions:55 commits, 52 pushes, 2 branches in 7 months
abhayalekal74/halflife-regression
Dec 2019 - Jun 2020
Contributions:88 pushes in 5 months
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