Rachna Bharti

Software Engineer

Noida, Uttar Pradesh, India1 yr 3 mos experience

Key Highlights

Designed AI-driven tools reducing on-call documentation time significantly.
Led front-end development projects enhancing user experience and accessibility.
Implemented cost-optimization features saving infrastructure expenses.

Stackforce AI infers this person is a SaaS-focused Fullstack Developer with strong expertise in AWS and frontend technologies.

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Skills

Core Skills

Aws SagemakerBackend Web DevelopmentMachine LearningFrontend DevelopmentAutomation

Other Skills

Continuous IntegrationContinuous Delivery (CI/CD)Amazon S3PythonAWS DataZoneAWS CloudWatchAWS LambdaAWS GlueDjangoBackend DevelopmentAWS BedrockJavaScriptReact.jsCascading Style Sheets (CSS)AngularJS

About

I currently work at Amazon, where I build and ship features for SageMaker Unified Studio and AWS DataZone, working end to end across frontend, backend, and AWS infrastructure. Earlier in my career, I interned at Intel and Philips, focusing on frontend development, automation, and performance improvements.

Experience

1 yr 3 mos

Total Experience

1 yr 3 mos

Average Tenure

1 yr 3 mos

Current Experience

Amazon

SDE-1

Mar 2025 – Present · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

Designed and implemented latency metrics and dashboards using Python and CloudWatch, improving service visibility and documentation.
Built an AI-driven tool to analyze on-call tickets and service dashboards (latency, 4xx/5xx errors), automating on-call handoff documentation and reducing effort from 10–12 hours to ~1 hour using MCP servers, AWS DataZone APIs from Bedrock, and Claude 4.5 Opus.
Delivered 30+ integration tests for the feature launch of CodeEditor and Multiple Spaces in the SageMaker Unified Studio (SMUS) portal, ensuring reliable end-to-end workflows.
Designed and implemented an end-to-end cost-optimization feature in SageMaker Unified Studio, enabling right-sized compute provisioning and enforcing IAM-based access controls across UI and CLI; drove design, rollout, documentation, and reduced unnecessary infrastructure spend.
Improved DataZone API usability by adding examples, clarifying permissions, and reducing documentation-related support tickets.
Implemented end-to-end UI and API schema changes for Column-Level Metadata (Readme, Column Metadata), standardizing flows across multiple views and asset lifecycle stages.
Contributed to frontend workflows and backend integrations for AI-assisted data classification in SageMaker Catalog, delivering 95%+ confidence business glossary and PII/PHI term recommendations to data producers.
Designed and implemented end-to-end Glossary Term rule enforcement across frontend (UI) and backend services, enabling full CRUD workflows; led AppSec reviews, automated and manual testing, bug bash coordination, and successful production deployment.
Resolved 300+ on-call tickets, performed root cause analyses (RCAs), and fixed a regional production issue.