Hi, my name is
Kamran Samudrala.
Electrical Engineering and Computer Science at UC Berkeley. Passionate about AI, product strategy, and building things that matter.
01.About Me
I'm currently pursuing a B.S. in Electrical Engineering & Computer Science at UC Berkeley, working at the intersection of technology, product, and applied research.
I've worked on product and infrastructure teams at Microsoft and Verizon, with experience across cloud platforms, network security, and ML-driven systems. I've also been involved in applied ML research at Berkeley focused on audio synthesis.
Outside of school and work, I enjoy building things with friends, exploring side-projects, and staying active. I spend a lot of time hiking and backpacking, planning travel, and training for long-distance runs. I also play guitar and love jamming with friends.



02.Where I've Worked
Product Manager Intern @ Microsoft
Summer 2025
- ▹Worked on platform-facing features within Azure, with a focus on edge and on-prem deployments
- ▹Collaborated with engineers and PMs on VM-level features, roadmap planning, and technical tradeoffs
- ▹Spent time learning how hypervisors, infrastructure constraints, and enterprise requirements shape product decisions
03.Some Things I've Built
Featured Project
Pour Decisions
A social-safety application designed to promote safer culture among college students. Leverages cloud-based facial recognition and deep learning for activity monitoring.
- React Native
- TensorFlow
- AWS
- Computer Vision
Featured Project
Berkeley Speech Research
Deep learning architectures for audio synthesis using Large Audio Language Models. Exploring DDSP-based models and GANs for neural audio generation and patch synth sound design.
- Python
- TensorFlow
- PyAudio
- DDSP
Featured Project
Network Anomaly Detection
Machine learning model for network performance and security monitoring through anomaly detection. Built for Verizon's AI&D team serving business customers.
- Python
- ML
- Cloud Architecture
- Data Engineering
Other Noteworthy Projects
Arduino Rocket Telemetry
Onboard software for real-time flight metrics display and telemetry algorithms for NASA JPL student engineering team.
- Arduino
- C++
- Embedded Systems
LinkedIn Product Strategy
14-week research project on product lifecycle and go-to-market strategy for LinkedIn's international markets.
- Product Strategy
- Market Research
- UX
RadMadLab Research
Research on the impact of large-scale language models on neurodivergent students in educational environments.
- NLP
- Research
- Education Tech
04. What's Next?
Get In Touch
I'm always seeking new opportunities for collaboration and innovation—feel free to say hi and I'll get back to you.
Say Hello