Manvi Pandya
System Software Engineer Intern @ NVIDIA
About
As a system developer, my expertise lies in building and optimizing distributed systems, multi-threaded applications, leveraging cloud technologies and perform automation. During my time at Veritas Technologies, I worked on designing robust system architectures, enhancing synchronization across distributed nodes, architecting serverless systems and enhancing cloud migrations. My experience covers the full development lifecycle, with a deep focus on robust system design, automation, scalable, high-performance systems that can handle complex data processing tasks. Currently pursuing a Master’s in Computer Science at NYU Courant, I am further honing my skills in Operating System, GPU, Big Data and Computer Vision. I’m passionate about solving challenging system-level problems and developing efficient, scalable solutions that support large volumes of data and transactions. I am eager to explore opportunities in system architecture and development that push the boundaries of scalability and performance. Let’s connect! Email ID: manvipandya11@gmail.com https://manvipandya.github.io/Manvi_Portfolio/
United States
Santa Clara
Computer Software
High Performance Computing (HPC), Pandas (Software), Scikit-Learn, Hadoop, Cloud Computing, Python, Kubernetes, Database Management System (DBMS), NumPy, Apache ZooKeeper, ZeroMQ, Apache Spark, Apache Kafka, Real-Time Operating Systems (RTOS), Boost (C++ libraries), Threads, GenAI, AWS SageMaker, Amazon Relational Database Service (RDS), Jenkins
Experience
System Software Engineer Intern
NVIDIA
Santa Clara County, California, United States
Software Engineer Intern
United States
Computer Science Algorithms Grader
NYU Courant Institute School of Mathematics, Computing, and Data Science
New York, United States
Software Engineer
Veritas Technologies LLC
Pune, Maharashtra, India
- Leveraged I/O fencing to resolve split-brain conditions, decreasing network discrepancies by 50% - Maintained synchronized state among cluster nodes by implementing atomic broadcast algorithms, minimizing data inconsistency incidents by 40% - Introduced arbitration as a service, accelerating recovery time by 35% through Kubernetes for enhanced disaster recovery and node synchronization - Enhanced server storage performance by 30% through optimization of RAID 0 and RAID 1+0 data stripping using InfoScale FSS, significantly accelerating data processing and throughput. - Improved DynamoDB database performance by implementing indexing and query optimization techniques, reducing query time by 50% and increasing overall database efficiency by 20%.
Associate Software Engineer
Veritas Technologies LLC
Pune, Maharashtra, India
- Developed secure RESTful APIs for InfoScale components, achieving two-way SSL, TLS, CRUD operations, JWT authentication, and comprehensive API documentation with Swagger. - Developed the VIOM web portal, enhancing storage and server management efficiency and reducing monitoring time by 30% through real-time analytics. - Boosted InfoScale storage capacity by 1500% in Kubernetes (from 64 to 1024 nodes), significantly improving scalability. - Optimized API gateway configurations and TCP/IP settings, reducing overhead and improving routing efficiency, which decreased microservices request latency by 25%. - Automated an end-to-end disaster recovery solution using CloudFormation (Terraform) and Ansible, reducing deployment times by 50% on Unix/Linux in a hybrid cloud environment (AWS, Azure, GCP), enhancing user experience. - Facilitated Agile ceremonies as a Scrum Master, boosting team productivity by 14%, and managed 30+ monthly releases with zero downtime through daily standups, sprint planning, and code reviews using JIRA and Confluence. - Resolved 50+ security vulnerabilities using BlackDuckHub and improved InfoScale code quality with SonarQube.
Software Developer Intern
Robocom Business Systems Pvt Ltd
- Engineered a React-based web GUI application to predict event attendance from user behavior and historical RSVPs using a DNN ML model with 87% accuracy, with a backend built using Node.js and MySQL, supporting 100,000+ users - Implemented Microservices Architecture using Docker and Kubernetes with separate services for user management - Implemented a Deep Neural Networks (DNN) algorithm to predict event attendance with 87% accuracy
Education
NYU Courant Institute School of Mathematics, Computing, and Data Science
Computer Science
Pune Institute of Computer Technology
Information Technology
Maharana Mewar Public School
Manvi Pandya's Contact Information
Phone
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