Medical Assistant
SH ALLERGY, ASTHMA & IMMUNOLOGY
Rishabh Agarwal
SOFTWARE / ML ENGINEER
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hi!
FIG. 00 / AUTHORX:018 Y:064
M.S. Computer Science, ML Track
B.S. Neuroscience
01 / INDEX
Software engineering
and intelligent systems.
02 / ABOUT
I studied Neuroscience at the University of California, Los Angeles (UCLA), where I found myself most engaged building data analysis pipelines for my research, and coding solutions for pain points in my extracurriculars. After graduating, I spent a gap year as a medical assistant while applying to medical school. I kept coding on the side, and somewhere along the way I realized that my passion lay in building software. I'm now pursuing an M.S. in Computer Science at Columbia University with a focus on machine learning. Once I finish, I plan to work as a software engineer or machine learning engineer, where my background in cognition can inform how I build intelligent systems.
03 / INTERESTS
01Full Stack DevelopmentWeb + iOS apps, end to end.
02AI AlignmentInterpretability, RLHF, scalable oversight.
03Applied AI & LLM IntegrationPutting models to work inside real products.
what I'm focusing on
04 / TOOLKIT
my tech stack ↓
LANGUAGES
PythonC++CJavaTypeScriptJavaScriptSwiftSQLR
ML / DATA
PyTorchNumPyPandasETL pipelinesData modeling & validationDistributed data processing
BACKEND
FlaskNode.jsREST APIsPostgreSQLSupabase
FRONTEND / MOBILE
ReactNext.jsTailwind CSSSwiftUIHTML5
INFRA / TOOLS
GitDockerLinux / UnixPytestXcodeClaude CodeAnaconda
CONCEPTS
Object-oriented designFull-stack & iOS devNetwork design
M.S. Computer Science, ML Track
B.S. Neuroscience
02 / Work Experience
← looking to intern as a software/ML engineer ↓
SHEET 2 OF 4
SEP 2025 – MAY 2026
Shipped a Flask + React/TS scheduling app for 100+ staff across 5 clinics, cutting staffing errors ~80%. Resend + Google Chat webhooks; Gspread/Pandas migration off spreadsheets.
AUG 2022 – JUL 2024
Data Analyst / Researcher
UCLA HEALTH BRAIN-GUT LAB
Python ETL for the 12K-subject NIH ABCD dataset, powering 4 projects and a Nature Mental Health paper. R framework for SEM doubled center output; mentored 3 junior researchers.
M.S. Computer Science, ML Track
B.S. Neuroscience
03 / Projects
check it out! ↓
Bench Adoption ↗bench-manager.vercel.app
Adopt one of 470+ benches for Van Cortlandt Park's donor program. Supabase auth, role-protected admin.
NEXT.JSPOSTGRES
Chilli Dog Oat Milk Latte
pending App Store approval
Native iOS multiplayer card game. Touch-driven SwiftUI cards, offline pass-and-play.
SWIFTSWIFTUI
abcd-dictionary — ssh nih-secure
$ ./open --dataset abcd_v5.1› auth: NIH Data Use Certification …› ACCESS DENIED (403)
CONFIDENTIAL
PREVIEW UNAVAILABLE
ABCD Data Dictionary
90,000 variables, 700,000 MRI scans, 100 TB. Discovery cut from hours to minutes.
PYTHONSELENIUM
M.S. Computer Science, ML Track
B.S. Neuroscience
04 / Research
SHEET 4 OF 4
[1]
Stress-Resilience Impacts Psychological Wellbeing: Evidence from Brain-Gut Microbiome Interactions
RESEARCH EXPERIENCE
2026 – NOW
Technical Fellow, AI Safety
COLUMBIA AI ALIGNMENT (CAIAC) · NYC
- ▸Semester-long fellowship with Columbia faculty & researchers analyzing mechanistic interpretability, RLHF & reward hacking, goal misgeneralization, AI control, scalable oversight and red teaming.
current focus
2022 – 2024
Data Analyst / Researcher
UCLA DIVISION OF DIGESTIVE DISEASES · LA · PI: Dr. Arpana Church, PhD
- ▸Built a Python ETL pipeline for the 12K-subject NIH ABCD Study, enabling 4 downstream projects and a Nature Mental Health paper.
- ▸Scraped microbiome data with Selenium & Beautiful Soup; cleaned, merged and standardized data across 4 studies with Pandas & NumPy.
- ▸Engineered a portable R framework for structural equation modeling (Lavaan, Tidyverse) that doubled center output and moved 4 projects off SPSS.
- ▸Led a neuroscience capstone from concept to manuscript, mentored 3 junior researchers, and presented at SCORE Symposium and UCLA Neuro Week.
2023 – 2024
Study Coordinator
UCLA DIVISION OF DIGESTIVE DISEASES · LA · PI: Dr. Arpana Church, PhD
- ▸Ran clinical study operations: trial screening, scheduling, fMRI/sMRI data acquisition and sample processing.
2021 – 2022
Undergraduate Research Assistant
UCLA INTEGRATIVE BIOLOGY & PHYSIOLOGY · LA · PI: Dr. Ketema Nnamdi Paul, PhD
- ▸Administered light and treadmill-exercise treatments in mouse circadian-rhythm studies; ran climate/lighting control and feeding schedules.
- ▸Shadowed perfusions, neuronal histology and single-electrode EEG implantation surgeries.
where it all started