Sidhartha Amperayani

Software Engineer

San Francisco, California, United States1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable backend systems.
Proven experience in cloud platforms like GCP and AWS.
Strong background in machine learning integration.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Cloud Computing and Machine Learning.

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Skills

Core Skills

Cloud ComputingBackend DevelopmentSoftware DevelopmentTestingMachine LearningDatabase Management

Other Skills

AWSLambdaDynamoDBAuthenticationBilling AutomationPythonAutomated TestingLLMSaaSMulti-modal ModelsSpeech-to-TextNodeJSExpressJSMicrosoft SQL ServerReal-time Data

About

Software Development Engineer at Google with over 3 years of experience building scalable, production-grade backend and cloud systems. I hold a Master’s degree in Computer Science from Rochester Institute of Technology (RIT) and have contributed to large-scale platforms at Google (GCP), Amazon (AWS), Salesforce, and other AI-driven startups, working on areas such as billing infrastructure, identity and authentication, automation, and reliability. I enjoy solving complex problems, improving system robustness, and building software that operates reliably at scale. My experience spans distributed systems, backend development, and integrating intelligent systems into real-world products.

Experience

1 yr 9 mos

Total Experience

8 mos

Average Tenure

4 mos

Current Experience

Google

Software Engineer

Jan 2026 – Present · 4 mos · Sunnyvale, California, United States · On-site

Amazon

Software Engineer

Jul 2025 – Jan 2026 · 6 mos · Seattle, WA · On-site

Worked on AWS Quick Billing and Identity platforms, contributing to Lambda-based billing automation and core authentication features in the Quick Sign-In experience. Focused on delivering multi-account sign-in and PRISM session support, while contributing to broader disaster recovery goals such as multi-region DynamoDB replication and failover monitoring.

AWSLambdaDynamoDBAuthenticationBilling AutomationCloud Computing+1

Salesforce

Software Engineer

Jul 2024 – Jun 2025 · 11 mos · Dallas, Texas, United States · Remote

I built Python backend systems, developed high coverage automated tests, and created an LLM-based system to generate executable test automation from natural language.

PythonAutomated TestingLLMBackend DevelopmentSoftware DevelopmentTesting

Planet-p, inc.

Software Engineer

Jul 2024 – Jun 2025 · 11 mos · Dallas, Texas, United States · Remote

Healthi ai

Software Engineer

Feb 2024 – Jul 2024 · 5 mos · Dallas, Texas, United States · Remote

I integrated ML models into SaaS platforms, built multi-modal models for image, video, and audio data; and implemented speech-to-text to improve accuracy and efficiency.

Machine LearningSaaSMulti-modal ModelsSoftware Development

Chess health

Software Intern

Aug 2022 – May 2023 · 9 mos · Rochester, New York, United States · Hybrid

Worked on SaaS development in behavioral healthcare, adding multilingual support, building and optimizing APIs with NodeJS/ExpressJS, and improving database performance with MS SQL Server and Sequelize.

NodeJSExpressJSMicrosoft SQL ServerSoftware DevelopmentDatabase Management