# Smarita Sharma > Senior software Engineer @ Personal AI Location: Mountain View, California, United States Profile: https://flows.cv/smarita I am a dedicated senior software engineer with extensive experience spanning cloud-native systems and performance engineering. I’m eager to join your team to build secure, efficient solutions that combine robust infrastructure with low-level hardware optimization. I am skilled in architecting deployments, automating workflows, and enhancing performance across complex environments. ## Work Experience ### Senior Software Engineer - AI & Infra @ Personal AI Jan 2025 – Present | San Francisco, CA Personal AI enables companies to build high-performing virtual employees called “Personas.” Each Persona is specialized in a specific area, carries deep expertise, and plays a key role within the organization. Designed for seamless human-AI collaboration, Personas work much like human colleagues- researching, completing tasks independently, and integrating with other systems to reach goals. They can be trained, deployed, and securely managed through the Personal AI platform. https://www.personal.ai ### Cloud Engineer @ PAX Technology, Inc. (North America) Jan 2024 – Jan 2025 Engineered Pax’s Portfolio Manager(PPM) infra from scratch: secure, massive-scale, always-on. Real-time payments, thousands of terminals — handled. ### Software Engineer II @ Intel Corporation Jan 2021 – Jan 2023 | Washington, United States Part of Intel’s DCAI Hyperscaler team •Worked on implementing Intel optimizations within the AWS Encryption SDK C by leveraging Intel's advanced hardware accelerators like IAA and QAT to enhance encryption performance and efficiency. •Showed 2x improvement in QEMU VM live migration tests with minimal downtime using VFIO framework on Intel's Sapphire Rapids with Intel's HW Accelerators like QAT and IAA •Collaborated on the development of kernel patches involving Google's MGLRU and parallel zswap supplemented with Intel hardware accelerators, aimed at offloading memory tiering to Intel hardware and thereby mitigating CPU utilization. •Facilitated the integration of Intel’s Spark-based optimizations (based on Intel’s OneAPI libraries) into Google Cloud's Dataproc platform. Collaborated with GCP's third-party customers to enable the utilization of the optimizations tailored to enhance the performance of their products. •Perform workload characterization and profiling on industrial workloads to record nX performance improvement with Intel HW/SW on cloud compute platforms. ### Software Engineer @ Intel Corporation Jan 2020 – Jan 2020 | Tempe, Arizona, United States • Optimized Intel's multi-kernel OS (mOS) for the Aurora Supercomputer, enhancing performance for biomedical deep learning workloads. • Implemented thread-aware scheduling techniques, significantly improving CPU performance. • Utilized advanced Slurm job scheduling and performance tuning, achieving a notable speedup compared to standard Linux distributions. ### Graduate Teaching Assistant @ Ira A. Fulton Schools of Engineering at Arizona State University Jan 2019 – Jan 2019 Teaching Assistant for CSE 110: Principles of Programming(Java). Conducted lab sessions and TA office hours. ### Open Source Developer @ Wikimedia Foundation Jan 2017 – Jan 2019 ### Software Engineer Intern @ Outreachy Jan 2018 – Jan 2018 | India • Collaborated as one of 40 global interns to develop a patient tagging module for Bahmni, an open-source EMR system. • Enhanced patient search efficiency and reduced page load latency by creating REST APIs and utilizing ReactJS for the user interface. • Employed Spring Boot and Hibernate to build robust backend services, improving overall system performance. ## Education ### Master of Science - MS in Computer Science Arizona State University ### Bachelor of Technology - BTech in Computer Science Vellore Institute of Technology ### Delhi Public School ## Contact & Social - LinkedIn: https://linkedin.com/in/smarita-sharma --- Source: https://flows.cv/smarita JSON Resume: https://flows.cv/smarita/resume.json Last updated: 2026-04-17