SAI KRUTHI WUSIRIKA
Bellevue,Washington
Summary
Seasoned Lead Software Engineer specializing in Nvidia GPU deployment, HPC, and server architecture across compute, storage, and AI systems. Skilled in streamlining release pipelines and troubleshooting across hardware/software boundaries. Proven track record with clients like Novelis, , and Micron Technologies. Persistent professional equipped with 4 years of comprehensive experience in Software Industry. Provides strong technical direction across multiple projects. Responsible and articulate individual with strengths in solutions optimization, mobile and cloud solutions and global project management.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Senior Software Engineer
Multiscale Technologies
Bellevue, WA
06.2024 - Current
- Leading Nvidia GPU deployment initiatives as an active participant in the NVIDIA Inception Program, I am leveraging cutting-edge NVIDIA tools and insights to enhance GPU deployment and optimize AI projects. My leadership in utilizing the NVIDIA AI Enterprise Suite and CUDA libraries is significantly enhancing computational efficiency in systems managing LLM operations. This strategic initiative is boosting resource utilization, accelerating deep learning tasks, and enhancing the scalability and performance of our MIND Platform and sophisticated ML models.
- Managing multiple client projects, I am currently tailoring solutions to meet the unique requirements of industry leaders like Novelis, Micron, WDC, Apple Mini, Resonac, Bosch, Blue Origin, and Applied Materials. I prioritize client satisfaction and nurture long-term partnerships by expertly aligning system designs and deployments with stakeholder expectations. Demonstrating exceptional ability in managing complex projects, I enhance client relationships across diverse industries.
- Leading the strategic transition of the our MIND product to a Software as a Service (SaaS) model through the Google Startup Accelerator program, I am orchestrating a significant shift in product delivery and market strategy. Currently managing cross-functional teams to redesign the product architecture for optimal cloud performance, ensuring scalable and on-demand service delivery. My approach prioritizes customer-centric enhancements and rigorous integration of cloud-native technologies like Kubernetes and Docker, significantly boosting deployment efficiency and user engagement. My proactive leadership in this complex SaaS model adaptation is driving robust product growth and laying the groundwork for ongoing innovation and market expansion.
Software Engineering Intern
Multiscale Technologies
Seattle, WA
05.2023 - 05.2024
- Optimized software release processes by integrating a sophisticated tech stack, including Bitbucket for version control, Docker for containerization, Kubernetes for orchestration, and Helm for managing Kubernetes applications. My strategic leadership in the deployment and optimization of both GPU and CPU clusters played a crucial role in streamlining complex system-level troubleshooting. These initiatives significantly improved deployment cycles, boosted system reliability, and ensured high availability and scalability within our architecture. This comprehensive approach to CI/CD workflows effectively minimized downtime and enhanced operational resilience.
- Directed a team of 20 professionals, promoting collaboration and professional growth. This leadership role was pivotal in driving the architecture and implementation of scalable, efficient systems.
- Utilized major cloud platforms and technologies such as Azure, AWS, GCP, Kubernetes, and Docker to implement cloud-native deployments. This included automatic scaling of resources to handle dynamic workloads, crucial for designing highly scalable systems.
- Leveraged cloud-native technologies for rapid provisioning of environments, accelerating the development, testing, and deployment cycles of machine learning models—integral to LLM development and infrastructure.
- Implemented pay-as-you-go models in cloud-native environments to optimize cost management, aligning expenses with usage, which is essential for sustainable system scaling.
- Enhanced system collaboration and efficiency by integrating tools like Azure, Kubernetes, and Docker, which are fundamental to building and managing distributed systems.
- Strengthened security and compliance measures by implementing best practices in penetration testing and securing SOC2 compliance, ensuring the protection of sensitive data in scalable environments.
- Managed on-premises deployments Directed on-premises deployments using high-performance computing (HPC) clusters, meticulously configuring systems for large language model operations and advanced machine learning tasks. My strategic oversight optimized data throughput and minimized training times, crucial for supporting intensive computational workloads. This approach led to robust, scalable systems that consistently exceeded performance benchmarks and client expectations.
- Driving the development and implementation of a Platform as a Service (PaaS) offering, I am currently spearheading efforts to design a scalable and efficient cloud-based platform tailored to support diverse software development needs. My role involves integrating robust infrastructure technologies and automating deployment processes using tools like Docker and Kubernetes, which enhances development agility and operational reliability. This initiative is transforming the way software is developed and deployed across the organization, significantly reducing time to market and fostering innovation by providing developers with streamlined access to backend services and resources.
Ex-Cofounder
PensUP
Benguluru, KA
07.2020 - 02.2024
- As the Ex-Co-founder of a trailblazing edtech startup, I played an instrumental role in revolutionizing the college application process
- With a vision to simplify and democratize higher education access, I co-created a platform that empowers students to apply to multiple colleges with just one click
- Our platform not only streamlined the application process but also provided personalized insights and guidance, enabling students to make informed decisions
- By leveraging cutting-edge technology, data analytics, and user-centric design, we transformed a traditionally cumbersome process into an intuitive and efficient experience
- Under my leadership, the company cultivated partnerships with educational institutions, gained recognition in the industry, and positively impacted the lives of thousands of students
- My blend of technical acumen, strategic thinking, and passion for education continues to fuel my commitment to innovation and excellence in the edtech space.
Senior SDE
Benguluru
Benguluru
07.2019 - 02.2024
- Orchestrated the complete lifecycle of machine learning models at Wipro Digital, aligning closely with business objectives to enhance operational efficiency and ensure robust model performance. Implemented advanced MLOps practices, including continuous monitoring for real-time performance tracking and automated content moderation pipelines, achieving significant improvements in model precision and recall by 35% and 40%, respectively.
- Spearheaded the integration of MLOps workflows with cloud infrastructure, utilizing SQL and R for dataset validation and feature engineering, and leveraging cloud technologies to increase ETL processing speeds by 50%. Led cross-functional teams in adopting these practices, fostering innovation and seamless collaboration across machine learning engineers, data scientists, and DevOps.
- My leadership in automating risk management reduced manual tasks significantly, while ensuring compliance with industry standards, ethical guidelines, and data privacy laws. Continuously adapted and scaled MLOps solutions to meet the evolving needs of Wipro Digital, establishing a flexible, scalable framework for future growth
Education
Masters in Computer Science - Computer Science
Stevens Institute Of Technology
Hoboken, NJ05.2024
Bachelors in Computer Engineering -
VIT UNIVERSITY
Vellore, TN04.2019
Skills
- Programming Languages: Proficient in Python, C, Go, Bash, and PowerShell
- Database Management: Experienced with PostgreSQL, MySQL, MongoDB, and Cassandra
- Cloud Platforms: Extensive use of Azure, AWS, GCP, including services like IAM and CloudWatch
- Containerization and Orchestration: Expertise in Docker, Kubernetes, and Helm for managing containerized applications
- Development Tools: Utilized Git, SVN, Bitbucket, Jenkins, GitLab CI, Maven, Gradle, and Ansible for version control and continuous integration/continuous deployment (CI/CD)
- Monitoring and Logging: Implemented solutions using Prometheus, ELK Stack, and AWS CloudWatch
- Infrastructure as Code: Proficient with Terraform and CloudFormation for infrastructure provisioning and management
- Data Processing and Workflow Management: Proficient in Apache Spark for large-scale data analytics and Airflow for orchestrating complex data pipelines
- Networking and Communication: In-depth knowledge of networking protocols ensuring secure and efficient data exchange across distributed systems
- Computational Engineering: Skilled in leveraging high-performance computing (HPC) clusters to handle computationally intensive tasks, optimizing processing times and enhancing model performance
- Large Language Model Operations: Leveraged NVIDIA AI Enterprise Suite and CUDA, including Apache Spark for GPU optimizations in handling LLM tasks
- Machine Learning Infrastructure: Involved in the design and deployment of scalable machine learning models using cloud-native technologies
- Security and Compliance: Enhanced security protocols and achieved SOC2 compliance through rigorous penetration testing and best security practices
- System Design and Architecture: Drove the architecture and implementation of scalable systems, emphasizing the strategic use of cloud-native technologies for system resilience and scalability
- Software Release Optimization: Refined software release processes by integrating advanced tech stacks for improved deployment cycles and system reliability
- Project Management: Managed multiple client projects, ensuring tailored solutions for companies like Novelis, Micron, and Apple Mini
- Team Leadership: Leading a team of 20 professionals, fostering an environment of collaboration and growth
- Stakeholder Engagement: Served as a key liaison among machine learning engineers, data scientists, and DevOps teams, ensuring alignment with business objectives
- SaaS Transition: Orchestrated the transition of the MIND product to a SaaS model, managing cross-functional teams for a strategic market shift
- PaaS Development: Spearheading the development of a Platform as a Service offering, enhancing the software development lifecycle within the organization
- Production Planning and Scheduling: Implemented advanced planning and scheduling mechanisms to streamline operations and increase efficiency
Certification
AWS Certified Solution Architect - Associate, AWS, 2023-2026
Timeline
Senior Software Engineer
Multiscale Technologies
06.2024 - Current
Software Engineering Intern
Multiscale Technologies
05.2023 - 05.2024
Ex-Cofounder
PensUP
07.2020 - 02.2024
Senior SDE
Benguluru
07.2019 - 02.2024
Masters in Computer Science - Computer Science
Stevens Institute Of Technology
Bachelors in Computer Engineering -
VIT UNIVERSITY