Rudra Tiwari

Software Engineer

Bengaluru, Karnataka, India4 yrs 8 mos experience

Most Likely To Switch

Key Highlights

Expert in microservices and backend development.
Proven track record in optimizing system performance.
Strong leadership in tech workshops and student initiatives.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in E-commerce and Mobile Development.

Contact

Skills

Core Skills

Microservice ArchitectureJavaTechnology LeadershipPublic SpeakingAndroid DevelopmentPythonLeadershipCommunicationApache Spark

Other Skills

AerospikeAlgorithmsAnalytical SkillsAndroidApache KafkaC (Programming Language)C++Data StructuresData VisualizationDockerDropwizardElasticsearchEnglishFastAPIFunctional Testing

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.

Experience

Flipkart

2 roles

Software Development Engineer

Jun 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India · Hybrid

Developed backend support for context preservation between widgets and landing pages, preventing user flow
disruptions. Quickly ramped up on a new codebase, and led cross-team coordination, resolved blockers, and
delivered the project on time
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
Conducted NFR and resiliency testing for high-impact services during Flipkart’s Big Billion Days sale, achieving
99% uptime and ensuring system robustness under peak traffic conditions. Created detailed documentation to
assist the team in troubleshooting and maintenance
Resolved critical bugs in Storm topologies and Azkaban jobs, improving data flow reliability and minimizing
operational disruptions

SQLGitRedisGitHubApache SparkElasticsearch+15

SDE Winter Intern

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India · Hybrid

Morpheus UI
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.

GitGitHubApache SparkPython (Programming Language)System DevelopmentGrafana+8

Rutgers university

Research And Development Intern

Oct 2023 – Apr 2024 · 6 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.

Functional TestingPython (Programming Language)OAuthDockerAndroidTesting+6

Training and placement cell, nit bhopal

Student Head Coordinator

May 2023 – Apr 2024 · 11 mos · Bhopal, Madhya Pradesh, India

Coordinated and lead the placement drives for 250+ companies, working for placement of around 1000+ students

CommunicationOAuthLeadershipAnalytical SkillsStudent Welfare

Flipkart

SDE Intern

May 2023 – Jul 2023 · 2 mos · Bengaluru, Karnataka, India · Hybrid

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.

GitGitHubApache SparkGrafanaOAuthScala+8