Shivansh Rag
@shivanshrag
Application engineer building reliable, automated cloud systems through APIs and monitoring.
What I'm looking for
I’m a software engineer focused on application reliability—using REST API validation, troubleshooting, and incident management to keep production services healthy. At TCS (Bank of Montreal), I supported backend functionality by validating API responses and streamlining operational workflows with tools like Postman.
I improved production visibility and response speed by streamlining CloudWatch monitoring dashboards for 15+ performance and availability metrics, cutting mean time to detect (MTTD) incidents by 40%. I also migrated 5+ on-premises applications to AWS, coordinating cutovers to minimize downtime, while managing Linux-based servers for patching, access control, and troubleshooting.
I bring a strong automation mindset and data capability, performing SQL-based application-level analysis to validate system behavior in core banking environments and supporting end-to-end release cycles with QA and UAT. My projects—like an Apache Airflow ETL pipeline and an API-driven support/incident system—reflect my interest in scalable product development and system reliability.
Experience
Work history, roles, and key accomplishments
Supported backend RESTful services by validating API responses with Postman and troubleshooting production issues. Built and optimized CloudWatch monitoring for 15+ performance and availability metrics, reducing mean time to detect (MTTD) incidents by 40%, and migrated 5+ on-prem applications to AWS while coordinating cutover to minimize downtime.
Education
Degrees, certifications, and relevant coursework
Medi-Caps University
Bachelor of Technology, Computer Science and Engineering
2020 - 2024
Grade: CGPA: 8.38
Activities and societies: Projects included Data Pipeline Automation (Python/Airflow/AWS), an API Support & Incident Management system (Flask/PostgreSQL/REST), and Predicting Credit Card Approvals (Python/R/ML).
Completed a Bachelor of Technology in Computer Science and Engineering at Medi-Caps University from 2020 to 2024, focusing on building data, API, and ML-driven projects.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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