# Shradha Chaturvedi

> Software Engineer 2 @ Intuit | TikTok, Tesla, Razorpay, ZS | MS CS Grad, SJSU

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/shradha

• Results-driven and highly skilled M.S. Computer Science student at San Jose State University, specializing in software development and performance engineering.
• Proficient in Java, Golang, Python, and JavaScript, with expertise in frameworks such as Angular, Spring and Hibernate.
• Strong knowledge of cloud platforms, including AWS and Azure, and adept at containerization with Kubernetes and Dockers. 
• Experienced in query optimization for MySQL, PostgreSQL, and NoSQL databases, utilizing SQL to enhance performance.
• Collaborative team player with a track record of delivering impactful results in fast-paced environments.

## Work Experience
### Software Engineer 2 @ Intuit
Jan 2024 – Present | San Francisco Bay Area
• Built a custom throttling service to control the Kafka event data flow based on the processing capacity of the downstream services, which reduced failures and system overloads during data spikes 
• Designed and delivered “Data Mesh” - a tier 1 service, that increased TurboTax's new visitor recognition by 40%
• Enhanced system resiliency by implementing circuit breaker patterns in 3 services, improving availability by 8%
• Built 150+ scalable data pipelines for the marketing vertical at Intuit to enhance customer acquisition
• Led the resolution of 5 P1 incidents by standardizing incident management protocols for reduced MTTD & MTTR

### Software Engineer @ TikTok
Jan 2024 – Jan 2024 | San Francisco Bay Area
• Developed automation frameworks for the E-Commerce content creation vertical at TikTok

### Software Engineer @ Tesla
Jan 2024 – Jan 2024 | San Francisco Bay Area
• Developed automation frameworks to design, build, and maintain Tesla’s global IT infrastructure
• Rebuilt automation architecture to synchronize Gallagher & Microsoft Active Directory employee badge data

### Software Engineer @ Tesla
Jan 2023 – Jan 2023 | San Francisco Bay Area
• Delivered 20+ features to the Tesla Factory Software that is used across all global Gigafactories
• Developed app-level caching for Kafka event streaming which accelerated data processing and minimized latency
• Reduced 70% of integration failures by developing wizards thereby streamlining & enhancing workflow efficiency

### Teaching Assistant @ San Jose State University
Jan 2023 – Jan 2023 | San Jose, California, United States
Working as a Teaching Assistant under Prof. Nitin Aggarwal for the courses: 1) Business Systems & 2) Networking & Data Communications

### Software Engineer @ Razorpay
Jan 2021 – Jan 2022 | India
• Developed an automation framework that carries out end-to-end performance testing and provides vertical as well as horizontal coverage, thereby saving 85% of the manual effort
• Engineered a full-scale Kubernetes-AWS infrastructure to cater to performance testing requirements for an entire business unit 
• Built CI/CD pipelines across multiple microservices that ensure the stability of the product and detect performance bottlenecks early in the SDLC
• Conducted exhaustive testing and multiple proofs of concepts to formulate production infrastructure configurations that support a digital payment gateway serving 50k+ transactions per minute.

### Software Engineer @ ZS
Jan 2019 – Jan 2021 | India
• Transformed more than 35+ applications developed in ZS to corroborate they are performant, scalable, reliable and compliant to SLAs
• Successfully collaborated with multiple stakeholders and cross-functional teams to set up non-functional requirements, scripting approaches and testing scenarios that helped uncover potential performance bottlenecks
• Developed a Python-based utility to provide optimal Spark configurations for Big Data applications thereby saving significant cost and time
• Fine-tuned Spark job execution time by 96% through query optimizations leading to improved application response time 
• Saved 40% of the annual cost incurred in AWS Infrastructure for a project team by eliminating expensive queries and redundant API calls through code-level changes

### Software Engineer - Intern @ ZS
Jan 2019 – Jan 2019 | India
• Responsible for carrying out Performance Testing of Web and iPad based software
• Applied techniques during a systems development life cycle to ensure that the non-functional requirements of performance are met

### Project Intern @ InfoCepts
Jan 2018 – Jan 2018 | India
• Developed a Microstrategy rendered dashboard providing indicators about potential causes of losses borne by an airline company and recommending actionable insights that could ameliorate the crisis.
• Trained to apply concepts of Machine Learning, Data Warehousing & Mining, Business Intelligence, and Data Visualisation 
• Presented the final dashboards and analysis to Higher Management at the firm


## Education
### Master of Science - MS in Computer Science
San José State University
Jan 2022 – Jan 2024

### Bachelor of Engineering in Computer Science and Engineering
Shri Ramdeobaba College of Engineering and Management
Jan 2015 – Jan 2019


## Contact & Social
- LinkedIn: https://linkedin.com/in/shradhachaturvedi0306

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Source: https://flows.cv/shradha
JSON Resume: https://flows.cv/shradha/resume.json
Last updated: 2026-03-22