Rudra Tiwari profile photo 4 on Tal
Rudra Tiwari profile photo 1 on Tal
Rudra Tiwari profile photo 2 on Tal
Rudra Tiwari profile photo 3 on Tal
Rudra Tiwari profile photo 4 on Tal
Rudra Tiwari profile photo 1 on Tal

Rudra Tiwari

SDE2 at Flipkart | MANIT CSE’24

Bengaluru

3+ years of work experience

Flipkart
Feb 20267 mosPresent

Bengaluru

• Built an AI-powered on-call triage agent that autonomously investigates production issues using internal debugging tools, codebase-aware RAG retrieval, and downstream request tracing to identify root causes and generate remediation reports, reducing manual triage effort by 30%. • Spearheaded architecture and rollout of the new Minutes platform app, defining HLDs, service interactions, and migration strategy for pricing services shared across Minutes and Food applications, improving platform scalability and maintainability.
Flipkart
Jun 20241 yr 9 mosFeb 2026

Bengaluru

• Optimized high-throughput, low-latency backend systems capable of handling 1M+ QPS. Conducted deep performance tuning using Java Flight Recorder(JFR) data to optimize garbage collection, thread management, CPU utilization, and network fanouts. Improved request queue handling, timeout configuration, and micro service communication latency, ensuring system stability and scalability during peak load conditions • Led development of the XtraSaver project, enabling users to unlock special grocery pricing upon reaching basket thresholds; implemented partial page refresh, context preservation, and real-time marketplace synchronization, driving a 24% increase in AOV and 11% growth in GMV • Led the revamp of the Distance-to-Reward (D2R) widget, delivering a modern, feature-rich UI with optimized backend APIs and state management, resulting in a 30% increase in user engagement and attention • Developed the “Steal Deals” feature enabling users to unlock multiple high-value product offers with a single selection mechanism, where rewards scale dynamically with basket value growth. Implemented backend logic for offer eligibility, reward computation, and selection constraints, driving increased user engagement and conversion rate within a high-traffic, low-latency e-commerce system • Migrated the system from a self-managed Redis cluster to a centrally managed Aerospace cluster, enhancing data storage and system design. Reduced costs by freeing up 3 VMs for other services and optimizing memory usage. Documented the PoC, rationale, solution, and action plan to ensure a smooth transition and improved scalability
Flipkart
Jan 20246 mosJun 2024

Bengaluru, Karnataka, India

• Resolved critical bugs in Storm topologies and Azkaban jobs, improving data flow reliability and minimising operational disruptions. • Developed auto content generation for creative templates, automating the selection of top-performing products aligned with business strategies to generate banners dynamically. • Led Java 17 migration efforts for additional services, ensuring code stability and performance consistency across the team’s backend systems. • Migrated 35 services from Java 8 to Java 17, ensuring code stability by fixing test cases, addressing security vulnerabilities, and resolving dependency mismatches.
Rutgers University
Oct 20237 mosApr 2024

Remote

• Developed and maintained an Android application to collect UI data and usage metrics in the background, to automate scheduled data uploads to MongoDB for analysis, enabling automated accessibility analysis. • Implemented backend API management using FastAPI and containerized the application with Docker to ensure efficient data handling and seamless integration with backend services. • Built functionalities to capture and analyze app usage data, enabling continuous background data collection and optimizing scheduled uploads.
Flipkart
May 20233 mosJul 2023

Bengaluru, Karnataka, India

• Optimized Spark job performance, reducing the runtime of four critical jobs by an average of 60%, saving approximately 90 minutes on scheduled runs. • Enhanced data processing efficiency across the pipeline by fine-tuning Spark, Java, and Scala configurations, improving overall system performance on Hadoop/Yarn.
GitHub
@rudra2901

Rudra’s AI Stack

claude code
claude code
claude
claude
cursor
cursor
claudecode
claudecode

Education

Maulana Azad National Institute of Technology

Bachelor of Technology - BTech, Computer Science

Maulana Azad National Institute of Technology

20204 yrs2024
St. Teresa School

High School Diploma, Science

St. Teresa School

20172 yrs2019

Join Rudra and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Rudra Tiwari on Tal

Headline

SDE2 at Flipkart | MANIT CSE’24

About

Driven by a passion for not just using new technologies, but creating and innovating them. I’m a developer with a relentless curiosity for exploring emerging tech, from building scalable systems to optimizing performance under high demand. I aim to go beyond implementation—to architect, shape, and refine the tools that will power the future.

Location

Bengaluru

AI stack

claude code

claude

cursor

claudecode

Work experience

Software Development Engineer 2 at Flipkart, Feb 2026 - Present · 7 mos, Bengaluru, • Built an AI-powered on-call triage agent that autonomously investigates production issues using internal debugging tools, codebase-aware RAG retrieval, and downstream request tracing to identify root causes and generate remediation reports, reducing manual triage effort by 30%. • Spearheaded architecture and rollout of the new Minutes platform app, defining HLDs, service interactions, and migration strategy for pricing services shared across Minutes and Food applications, improving platform scalability and maintainability.

Software Development Engineer at Flipkart, Jun 2024 - Feb 2026 · 1 yr 9 mos, Bengaluru, • Optimized high-throughput, low-latency backend systems capable of handling 1M+ QPS. Conducted deep performance tuning using Java Flight Recorder(JFR) data to optimize garbage collection, thread management, CPU utilization, and network fanouts. Improved request queue handling, timeout configuration, and micro service communication latency, ensuring system stability and scalability during peak load conditions • Led development of the XtraSaver project, enabling users to unlock special grocery pricing upon reaching basket thresholds; implemented partial page refresh, context preservation, and real-time marketplace synchronization, driving a 24% increase in AOV and 11% growth in GMV • Led the revamp of the Distance-to-Reward (D2R) widget, delivering a modern, feature-rich UI with optimized backend APIs and state management, resulting in a 30% increase in user engagement and attention • Developed the “Steal Deals” feature enabling users to unlock multiple high-value product offers with a single selection mechanism, where rewards scale dynamically with basket value growth. Implemented backend logic for offer eligibility, reward computation, and selection constraints, driving increased user engagement and conversion rate within a high-traffic, low-latency e-commerce system • Migrated the system from a self-managed Redis cluster to a centrally managed Aerospace cluster, enhancing data storage and system design. Reduced costs by freeing up 3 VMs for other services and optimizing memory usage. Documented the PoC, rationale, solution, and action plan to ensure a smooth transition and improved scalability

SDE Winter Intern at Flipkart, Jan 2024 - Jun 2024 · 6 mos, Bengaluru, Karnataka, India, • Resolved critical bugs in Storm topologies and Azkaban jobs, improving data flow reliability and minimising operational disruptions. • Developed auto content generation for creative templates, automating the selection of top-performing products aligned with business strategies to generate banners dynamically. • Led Java 17 migration efforts for additional services, ensuring code stability and performance consistency across the team’s backend systems. • Migrated 35 services from Java 8 to Java 17, ensuring code stability by fixing test cases, addressing security vulnerabilities, and resolving dependency mismatches.

Research And Development Intern at Rutgers University, Oct 2023 - Apr 2024 · 7 mos, Remote, • Developed and maintained an Android application to collect UI data and usage metrics in the background, to automate scheduled data uploads to MongoDB for analysis, enabling automated accessibility analysis. • Implemented backend API management using FastAPI and containerized the application with Docker to ensure efficient data handling and seamless integration with backend services. • Built functionalities to capture and analyze app usage data, enabling continuous background data collection and optimizing scheduled uploads.

SDE Intern at Flipkart, May 2023 - Jul 2023 · 3 mos, Bengaluru, Karnataka, India, • Optimized Spark job performance, reducing the runtime of four critical jobs by an average of 60%, saving approximately 90 minutes on scheduled runs. • Enhanced data processing efficiency across the pipeline by fine-tuning Spark, Java, and Scala configurations, improving overall system performance on Hadoop/Yarn.

Education

Bachelor of Technology - BTech, Computer Science, Maulana Azad National Institute of Technology

High School Diploma, Science, St. Teresa School

Public links

github: https://github.com/rudra2901