Rupanshi Garg

Head of Design

Lucknow, Uttar Pradesh, India1 yr experience

Key Highlights

Expert on Codeforces with 1500+ problems solved
Built full-stack projects using the MERN stack
Strong foundations in Data Structures and Algorithms

Stackforce AI infers this person is a Fullstack Developer with expertise in Observability and Distributed Systems.

Contact

Skills

Core Skills

ObservabilityJava

Other Skills

OpenTelemetryWebSocketRESTMavenJaegerREST APIsJavaScript

About

Hi, I’m Rupanshi Garg — a passionate techie with strong foundations in Data Structures, Algorithms, and Object-Oriented Programming. I’ve built several full-stack projects using the MERN stack and enjoy crafting clean, scalable, and efficient solutions. Now, I spend most of my time mastering DSA and Competitive Programming — currently an Expert on Codeforces and 4★ on CodeChef, with 1500+ problems solved across platforms. I enjoy building full-stack apps, tackling system design problems, and pushing my limits in coding contests. Always up for collaboration and learning something new! Let’s connect!

Experience

1 yr

Total Experience

1 yr

Average Tenure

--

Current Experience

Microsoft

Intern

Jul 2025 – Sep 2025 · 2 mos · Noida, Uttar Pradesh, India · On-site

Built a UI automation framework to automate execution of bug bash test cases and replace manual testing workflows
Reduced overall test execution time from hours to around 15 minutes
Standardized common GUI actions into reusable automation modules
Improved execution reliability using window management, state checks, and fallback mechanisms for dynamic UI
elements

D. e. shaw india private limited

Software Engineer Intern

May 2025 – Jul 2025 · 2 mos · Gurugram, Haryana, India · On-site

Observability & Distributed Tracing in Real-time
Streaming Infrastructure
Designed and integrated distributed tracing
using OpenTelemetry to provide deep visibility
across asynchronous request flows—from
browser-based JavaScript clients to a
multi-node Java backend.
Enabled end-to-end traceability of critical
operations (queries, mutations, subscriptions)
over WebSocket and REST, ensuring
observability across system and process
boundaries.
Built a robust span structure with meaningful
metadata enrichment, enabling precise filtering
and debugging in Jaeger.
Focused on production-grade tracing
practices, including span sampling,
performance-aware instrumentation, and trace
propagation across async and thread-switching

ObservabilityOpenTelemetry

Axios, iiit lucknow

Women in Tech Coordinator

Sep 2024 – Oct 2025 · 1 yr 1 mo · Lucknow, Uttar Pradesh, India

Flipkart

Intern

May 2024 – Jul 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

JavaMaven

Education

Indian Institute of Information Technology Lucknow

Bachelor of Technology - BTech — Computer science and artificial intelligence

Jan 2022 – Present

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