Skip to main content
Sahil Rastogi

Sahil Rastogi

Software engineer with 2+ years building production backend systems

Talent
SunnyvaleMember since September 2, 2026
JavaPythonSQLTypeScriptBashNext.jsNestJSSpring BootREST APIsPrismaMicroservicesDistributed SystemsPostgreSQLMongoDBAWS EC2CypressPlaywrightPostmanGitRAGLlama
·

Hire this person

Send a job offer directly to this candidate

JavaPythonSQLTypeScriptBash

About

Software engineer with 2+ years building production backend systems in Java, Python, and TypeScript, including customer facing features owned from requirements through deployment.

Experience spans Spring Boot, REST APIs, microservices, distributed systems, PostgreSQL, AWS, security, and event driven services. MS in Computer Software Engineering, ASU.

Experience

Backend AI Engineering Intern at DADO Luxury Ventures, Inc. (2026-07 – Present)

  • Driving end to end delivery of a new customer facing feature using React, TypeScript, PostgreSQL, Supabase, and AWS EC2, S3, IAM while refactoring backend services behind an event driven notification system and standardizing Git flows, repository structure, and code review practices across the team.
  • Identified and remediated backend security vulnerabilities across production services ahead of launch, hardening authentication, authorization, and two factor authentication flows alongside secure coding practices.
  • Established end to end test coverage with Playwright and integrated Sentry for centralized exception tracking, performance monitoring, and release diagnostics, improving visibility into production failures.

Solution Delivery Analyst at Deloitte (2022-06 – 2024-07)

  • Delivered backend automation and workflows in Python, Bash, and Linux for enterprise clients inside agile delivery teams, troubleshooting networking and security issues across production environments while cutting manual effort by 25%+ and improving system reliability.
  • Partnered directly with SOC and client engineering stakeholders to gather requirements, translate them into working solutions, and own production issues through resolution.
  • Engineered and tuned 20+ Google Chronicle detection rules from telemetry and log data, improving alert quality and accuracy by 30%.
  • Built reusable Python, SQL, and Bash tooling plus operational playbooks and docs that let teams run and extend workflows independently.

Technology Intern at Deloitte (2022-02 – 2022-05)

  • Shipped Python and Bash automation for security operations with Git based versioning and clear handoff documentation.
  • Built XSOAR automation workflows for incident triage, applying AWS and Azure fundamentals across team deliverables.

Education

Master of Science in Computer Software Engineering – Arizona State University (2024-08 – 2026-05)

Bachelor of Technology in Information Technology – Jaypee Institute of Information Technology, Noida, India (2018-08 – 2022-06)

Reviews

Related