I am a results-driven full-stack and cloud developer with 5+ years of experience designing, deploying, and maintaining large-scale distributed systems, AI-powered video platforms, and multi-cloud applications across AWS, GCP, and Azure. I focus on building data-driven, customer-centric products that improve performance, reduce cost, and enhance reliability, while collaborating with cross-functional teams to deliver rapid, feedback-driven releases.

Hridesh Mayur Shah

I am a results-driven full-stack and cloud developer with 5+ years of experience designing, deploying, and maintaining large-scale distributed systems, AI-powered video platforms, and multi-cloud applications across AWS, GCP, and Azure. I focus on building data-driven, customer-centric products that improve performance, reduce cost, and enhance reliability, while collaborating with cross-functional teams to deliver rapid, feedback-driven releases.

Available to hire

I am a results-driven full-stack and cloud developer with 5+ years of experience designing, deploying, and maintaining large-scale distributed systems, AI-powered video platforms, and multi-cloud applications across AWS, GCP, and Azure.

I focus on building data-driven, customer-centric products that improve performance, reduce cost, and enhance reliability, while collaborating with cross-functional teams to deliver rapid, feedback-driven releases.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent

Work Experience

Senior Software Developer at DarkHorse AI (Sonador Ventures Inc.)
March 1, 2023 - Present
Led the development of a multi-tenant AI-driven sports analytics platform with React/Next.js frontends, Node.js/Express microservices, and AI pipelines, serving 50+ clubs and tournaments. Drove 35% cloud cost reduction through cross-cloud migration (AWS→GCP→Azure) by optimizing containerized services, storage policies, and routing. Redesigned the video processing pipeline, cutting turnaround from 4–5 hours to ~40 minutes via asynchronous FFmpeg orchestration and AI workflows. Implemented serverless workflows (Lambda + Cloud Run + Firestore) processing 10k+ automated jobs daily with event triggers and Slack-based monitoring. Built admin & analytics dashboards (Next.js + MongoDB) improving issue resolution times and customer visibility. Collaborated with clubs, coaches, and vendors to ensure success and rapid feedback-driven releases. Established CI/CD pipelines (Jenkins, GitHub Actions) and testing automation enabling weekly zero-downtime deployments.
Software Development Engineer, Alexa Smart Home at Amazon
June 1, 2021 - March 1, 2023
Built microservices handling 3M+ Alexa Smart Home requests/day ensuring high availability and low-latency performance. Delivered API modernization (MAGNUM migration) improving scalability and reducing latency spikes by 20%. Developed canary & rollback automation reducing incidents by 25% and operational costs by 15%. Partnered with product & ops teams to align customer-impact metrics with backend observability and proactive support. Built internal dashboards providing real-time visibility into Alexa Smart Home customer health and system metrics.
Senior Software & Full Stack Developer at DarkHorse AI (Sonador Ventures Inc.)
March 1, 2023 - Present
Led a multi-tenant AI-driven sports analytics platform with React/Next.js frontends, Node.js/Express microservices, and AI pipelines for 50+ clubs and tournaments. Achieved ~35% cloud cost reduction via cross-cloud migration (AWS→GCP→Azure) by optimizing containerized microservices, storage policies, and routing. Redesigned the video processing pipeline with asynchronous FFmpeg orchestration and AI workflows, reducing turnaround from 4–5 hours to ~40 minutes. Developed serverless workflows (Lambda + Cloud Run + Firestore) processing 10k+ automated jobs daily with event-driven triggers and Slack-based monitoring. Built admin & analytics dashboards (Next.js + MongoDB), cutting issue resolution time and improving customer visibility. Collaborated with clubs, coaches, and vendors to ensure customer success and rapid feedback-driven releases. Implemented CI/CD pipelines (Jenkins, GitHub Actions) enabling weekly zero-downtime deployments.

Education

M.S. at University of Texas at Arlington
January 11, 2030 - January 1, 2021
B.E. at University of Mumbai
January 11, 2030 - January 1, 2019
Master of Science in Computer Science at University of Texas at Arlington
January 11, 2030 - January 1, 2021
Bachelor of Engineering in Information Technology at University of Mumbai
January 11, 2030 - January 1, 2019

Qualifications

AWS Certified
January 11, 2030 - December 31, 2025
AWS Certified
January 11, 2030 - January 19, 2026

Industry Experience

Software & Internet, Media & Entertainment, Professional Services