Name of Record
record · c_huprzywm · v1
Canonical record
Savvy Raghuvanshi
Summary
Savvy Raghuvanshi is an engineer by trade working in finance. He graduated from Harvard University in 2022 with a degree in computer science and mathematics. He has built internal platforms for investment research and decision-making, architected distributed backend systems, and conducted research in mechanistic interpretability and large language models. His work spans systems engineering, backend infrastructure, and applications of AI to finance.
At a glance
- Location
- San Francisco
- Education
- Harvard University
- Notable work
- Internal investment research platform
- Previously
- Teaching Fellow, Harvard University
Roles
Teaching Fellow, Harvard University
Systems Programming (CS 61)
Education
— Harvard University
Selected work
Internal investment research platform
Built with a team of 4 to improve investment research and decision-making
Distributed web backend redesign
Redesigned for horizontal scalability; led a team of 5 over three months
COVID test activation system
SMS-based system for Harvard students with 160 signups and 731 activations within 2 weeks
Harvard legacy printing system solution
Enabled Linux users to connect to Harvard's legacy printing system
MongoDB traversal parallelization
Novel process-safe method to parallelize MongoDB traversal in Python
PicoTCP integration into Alto runtime
Integrated user-level networking stack; enabled fast snapshot and restore of VMs with limited networking event-driven capabilities
Seccomp system call filtering
Implemented seccomp filters to isolate client code; reduced required system calls and attack surface compared to Docker
Alto hypervisor redesign
Redesigned so client code no longer runs with root privileges
Chrome font-based fingerprinting side channel closure
Closed a font-based fingerprinting side channel; improved blocking performance and end-user experience
Resculpt
Discussed at Harvard SEAS Demo Day
References · in priority order
Sources
- Savvy Raghuvanshi graduated from Harvard University in 2022 with degrees in computer science and mathematicssavvy.bio
- He is based in San Franciscolinkedin.com
- He built an internal platform to improve investment research and decision-makingsavvy.bio
- He conducted research on mechanistic interpretability and large language modelsscholar.google.com
- He co-presented Evera at Harvard SEAS Demo Dayseas.harvard.edu
- He worked as a Teaching Fellow for Systems Programming (CS 61)savvy.bio