Akshat Trivedi
Senior Engineer - Software Development at Xperi Inc.
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolAkshat Trivedi is a Senior Software Engineer with nine years of experience building scalable microservices and data-driven applications, currently contributing to Xperi’s software development efforts from Bengaluru. He has a strong Java and Python background—Spring Boot, Dropwizard, Django—and practical experience optimizing high-throughput systems, rate-limiting APIs, and designing ETL flows that move large merchant and clinical datasets into production. At Groupon and GE Healthcare he delivered performance-focused solutions including Wavefront alerting, Nginx/Keepalived HA setups, and multi-database ETL pipelines tied to BI dashboards. Comfortable across Linux, Redis, ELK, and C, he also scripts deployment and automation tasks to streamline builds and offline artifact management. A data-science enthusiast who began with recommendation engines during an ML internship, he blends backend systems engineering with hands-on analytics to turn complex data into operational features. Known for pragmatic design choices and a focus on reliability, he often pairs monitoring and alerting with performance tuning to ensure services run smoothly at scale.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.) (VTU University) Computer Science, Bachelor of Engineering (B.E.) (VTU University) Computer Science at PES UniversitySt. Joseph's Co-Ed SchoolPCM, PCM at Delhi Public School Bhopal
English, Hindi
Stackoverflow
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Github Skills (34)
probot10
dynamic10
serverless10
recommendation-engine9
convolutional-neural-networks9
github-bot9
zap9
nodejs9
traffic-simulation8
kotlin8
django8
android-tv8
near8
github-issues8
web-application7
Programming languages (6)
Github contributions (5)
akshattrivedi/Automating-Traffic-Signals-Based-on-Traffic-Density-Estimation-using-YOLO
Apr 2019 - Jun 2021
Automating the traffic signal timings using images of vehicles near the crossroads using YOLO (You Only Look Once) which includes Convolutional and Fully Connected Neural Networks which is implemented on Python-Django Web Framework.
Contributions:24 commits, 4 PRs, 21 pushes in 2 years 2 months
signalpythondjangoconnectedimage-classification
Contributions:9 commits, 7 pushes, 1 branch in 5 years 2 months
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