Hi, I'm Sravani Panakanti - Senior Software Engineer at Google
I am passionate about transforming complex AI research into robust, high-scale production systems. I thrive in challenging technical environments that demand architectural precision and algorithmic efficiency.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Contributed to core research developments at Samsung R&D Institute and AI Center.
Operates as a Senior Software Engineer at Google focusing on AI and ML infrastructure.
Offers technical mentorship in distributed systems design and high-performance machine learning engineering.
🚀 Career trajectory
Foundational Research
Began at Samsung R&D, focused on core AI experimentation.
✦ AI Research
✦ Initial Growth
Engineering Mastery
Progressed through multiple roles at Google to Senior Software Engineer.
✦ Scale
✦ Distributed Systems
💪🏻 Superpowers
Systems Architect
Building reliable foundations for AI at scale
✦ Design distributed frameworks for high-concurrency environments.
✦ Optimize low-latency data pipelines for production intelligence.
✦ Ensure system reliability through rigorous engineering practices.
Algorithm Optimizer
Engineering performance into machine learning models
✦ Leverage C++ and Python to maximize computational efficiency.
✦ Implement complex data structures to reduce model inference times.
✦ Refine algorithmic logic for improved memory and throughput.
Research Bridge
Translating academic AI breakthroughs to production
✦ Integrate advanced AI research within scalable product stacks.
✦ Collaborate with scientists to deploy experimental models safely.
✦ Bridge the gap between model prototyping and operational excellence.
I'm excited about
✦ Exploring new frontiers in generative AI and infrastructure design.
✦ Connecting with experts to exchange insights on distributed compute.
✦ Seeking opportunities to influence future AI product directions.
I can help with
✦ Mentoring engineers on performance optimization and system design.
✦ Providing technical feedback on AI/ML infrastructure architecture.
✦ Sharing best practices for scaling production-level software systems.
I would love your help on
✦ Guidance on emerging trends in distributed AI infrastructure.
✦ Connecting with leaders tackling high-scale software challenges.
✦ Input on navigating organizational growth in major tech environments.