Swarnima Shrivastava
5.0
(8)
Staff SDE turned Tech Product Manager | Ex-Amazon, Intel, Oracle, VZ
Studied at Haas School of Business (Berkeley)
Worked at Intel
Successful clients at
Not currently taking new clients
Swarnima’s Software Engineering Qualifications
Experience level: Manager
10+ people coached for Software Engineering
With over 12 years of experience working for leading tech companies like AWS, Oracle, Verizon, and Intel, my focus has grown from hands-on engineering to leading teams, shaping platforms, and guiding cross-functional initiatives that create measurable impact. My experience spans cross-functional roles providing a solid foundation for mentoring and leadership. Alongside my professional work, I volunteer as a Leadership Coach with Braven and also mentor mid-career professionals navigating growth, transitions, and leadership challenges. These experiences reinforce my belief in high-trust mentorship, thoughtful guidance, and empowering individuals to make intentional career decisions.
Swarnima can help with:
AI Agents
AI Automation
AI Code Review
AI Fundamentals
AI System Design
Architecture
Behavioral Interview Prep
Cover Letters
Frontend Frameworks
LinkedIn Review
LLM Fine-Tuning
Model Development
Networking Strategy
Promotion Strategy
Prompt Engineering
Resume Review
Salary Negotiation
Skill Building
Technical Interview Prep
Work Experience
Staff Software Engineer
Intel
June 2022 - July 2025
Early team member for Intel Tiber AI Cloud, contributing to early features across AI cloud services while aligning cross-functional efforts to accelerate delivery and enhance platform scalability and reliability. • Contributed to the first prototype of Intel Tiber AI Cloud, shaping the foundational roadmap and guiding feature design across Compute, Storage, Networking, and Billing to align with product vision and strategic platform goals. • Established organization-wide telemetry standards with consistent schemas, improving backend query performance by indexes cut into half, standardizing metrics, and supporting data-driven product evaluation. • Optimized platform performance by architecting a zero-copy logging framework, enhancing observability, reducing operational overhead, and enabling actionable insights for product decision-making. Cross-functional Collaborations, AI Cloud Observability and +6 skills
AI Software Engineer
Amazon Web Services (AWS)
April 2021 - June 2022
Worked in AWS AI (Personalize), partnering with AI/ML scientists and engineering teams to design and deliver scalable, high-performance features that power real-time recommendations. • Led the end-to-end design and implementation of a system-wide resource tagging framework, enabling fine-grained IAM-based access control, granular cost attribution, and operational visibility for managed Personalize resources. • Volunteered as AWS Security Guardian, defining and enforcing platform security best practices, ensuring compliance and safe operations across AWS AI service platforms. • Trained as a Document Bar Raiser, reviewed and elevated 30+ design and product documents, strengthening product strategy alignment, improving decision quality, and reducing design churn across cross-functional teams. AI Based Recommendation Systems, Cloud-Native Architecture and +9 skills
Software Engineer
Amazon Web Services (AWS)
January 2018 - April 2021
Owned performance and scalability initiatives for AWS Elastic Block Store, collaborating with engineering and product teams to enhance customer experience. At Alexa, drove platform improvements in the routine automation framework, increasing extensibility and adoption among skill developers. • Collaborated with EBS product stakeholders to align performance improvements roadmap with customer usage patterns and operational requirements, ensuring solutions addressed real-world scalability and reliability needs. • Led a critical initiative in EBS by re-architecting a synchronized locking model into an asynchronous design, eliminating Global Work Queue starvation, improving server throughput by ~27%, directly enhancing customer-facing IO performance. • Architected and delivered a modular workflow execution framework that enabled 50+ skill developers to integrate and run custom task workflows within Alexa skills, improving time-to-market by ~30% and increasing developer flexibility through reusable platform components. Distributed Systems, Distributed Block Storage Systems and +8 skills
Software Development Engineer Intern
Amazon Web Services (AWS)
May 2017 - August 2017
Designed and delivered a web-based administrative tool from the ground up to replace terminal-driven workflows with an intuitive, GUI-based experience for field technicians. Focused on user needs and usability by integrating built-in data visualizations, boosting operational efficiency, reducing error-prone manual steps, and increasing adoption of internal tools. Front-End Development, Customer Experience and +5 skills
Release Engineer
oracle
April 2015 - August 2016
Owned release planning and execution for complex, multi-service platforms, coordinating across engineering, QA, security, and operations to deliver reliable, on-time product releases. Focused on balancing delivery velocity with quality and risk management, ensuring releases aligned with product priorities, customer expectations, and operational readiness. • Led the design of an automation solution to optimize task sequencing in cloud test resource provisioning, reducing end-to-end release time and improving operational efficiency by 10x, enabling faster and more predictable product launches. Release Management, Software Development Life Cycle (SDLC) and +5 skills
System Development Engineer
Verizon
July 2013 - March 2015
• Delivered a scalable tax calculation service replacing a third-party provider, ensuring regulatory compliance and generating measurable cost savings for the company. • Led the design and delivery of a billing service feature enabling customers to electronically sign compliance acknowledgments for auto-pay benefits, reducing customer email volume by 30% and improving the user experience. Software as a Service (SaaS), Java Enterprise Architecture and +2 skills
Education
Haas School of Business (Berkeley)
Certificate of Business Excellence, Executive Leadership, AI-Driven Product Strategy & Financial Decision-Making
2025 - 2026
Grade: In Progress Strategic executive program centered on leadership, enterprise-level decision frameworks, financial modeling for business impact, and AI-enabled product strategy.
Maulana Azad National Institute of Technology Bhopal
Bachelor of Technology, Computer Science & Engineering
2009 - 2013
Bachelor’s in Computer Science and Engineering, with a focus on software development, systems design, and foundational computing principles.
Stony Brook University School of Dental Medicine
Master’s Degree, Computer Science
Master’s program in Computer Science focused on cloud computing, distributed systems, and network security, preparing to solve complex technical challenges at scale.
8 Reviews
Overall Rating
5.0
Swarnima has helped Leland clients get into Rochester Institute of Technology
Swarnima has helped Leland clients get into Amazon