Curriculum Vitae
Currently,
Engineering many things at Abacus.AI. Building:
Core intelligence behind ChatLLM
Tool use
Playground, with React and document support
Day-one integration of cutting-edge models (e.g., o1-preview, FLUX1.1 [PRO])
LLM Applications
Model monitoring and explainability
ML Platform
Creating AI tools at app.saarim.me
Building things people love
DJing and surfing 🕺🏽🏄🏽♂️
Previously,
AI summarization of medical research, engineering, & product at MedBytes
Neural network & interpretability research at Berkeley Artificial Intelligence Research
Taught STEM at CalTeach
Engineering search suggestions at Amazon
NoSQL DBs & data engineering at MarkLogic
Engineering for social event promotion & discovery at Avenu
Automated cryptocurrency conversion at Blockchain at Berkeley
Quantum search algorithm research at UC Davis
iOS and watchOS support at Apple
In my free time,
I love crafting playlists for every vibe! Check out my vibe, songs I rave about, and much more on my Spotify.
I enjoy the great outdoors! I once hit five national parks in one week — Yosemite, Grand Teton, Yellowstone, Bryce Canyon, & Zion.
I attend music festivals and concerts! My squad's totem was even famous on Facebook — twice!
I play games! My favorite games are OSRS, Dark Souls 3, Ori & the Blind Forest, and Far Cry 3.
I make stuff! Check out app.saarim.me.
I write sometimes! Check out my blog.
Writing
Deep Reinforcement Learning on Augmented Data: Cutouts For Generalization
Nikhil Deveshwar, Saarim Rahman, Vikram Shirsat
Deep Reinforcement Learning, 2021A Multi-generational Examination of the Attitudes of South Asian American Women Towards Higher Education in the United States
Saarim Rahman
Asian Americans and Education, 2020An Autobiographical Analysis of My Educational Journey
Saarim Rahman
Asian Americans and Education, 2020A Formulation of a Matrix Sparsity Approach for the Quantum Ordered Search Algorithm
Jupinder Parmar, Saarim Rahman, Jesse Thiara
International Journal of Quantum Information Vol. 15, No. 02, 2017
Education
University of California, Berkeley
B.S. in Electrical Engineering and Computer Sciences (Aug 2018 - Dec 2021)Technical Coursework
Deep Reinforcement Learning* (CS 285)
Machine Learning* (CS 189 / 289A)
Machine Learning Research (CS 199)
Artificial Intelligence (CS 188)
Data Science (DS 100)
Computer Security (CS 161)
Efficient Algorithms and Intractable Problems (CS 170)
Probability & Random Processes (EE 126)
Discrete Mathematics & Probability Theory (CS 70)
Machine Structures (CS 61C)
Data Structures (CS 61B)
Structure and Interpretation of Computer Programs (CS 61A)
Linear Algebra, Differential Equations, Signal Processing, Learning, Control, & Circuit Design (EE 16A / EE 16B)
Multivariable Calculus (MATH 53)
Mechanics and Waves (PHYS 7A)
Heat, Electricity, & Magnetism (PHYS 7B)
Entrepreneurship Coursework
Startup Acceleration (INDENG 198)
Build an Artificial Intelligence Startup (INDENG 190E)
Entrepreneurship & Innovation (INDENG 195)
Other Coursework
Introductory Urdu (URDU 1A)
K-12 Tutoring in STEM(EDSTEM 82T)
Social Movements, Organizing, & Policy Change (PUBPOL 192AC)
Asian Americans & Education (ASAMST 146)
Technology & its (Dis)Contents (COLWRIT R4B)
Social Implications of Computer Technology (CS 195)
* indicates a graduate level course