Rahil Verma
Full Stack & ML Focused Developer
Passionate about building production-ready applications with modern serverless technologies. Specialized in building scalable machine learning systems integrated across multiple platforms.
About Me
Frontend
React, Next.js, React Native
Backend
Python, JavaScript, Django
Machine Learning
MLOps, Agentic Frameworks, TensorFlow
Orchestration
AWS, GCP
Development Lifecycle
Docker, GitHub Actions, CI/CD
Data Science
Pandas, NumPy, Scikit-learn
Professional Experience
Auxiom AI
Nov 2024 - Present
Founder
- •Your personal AI journalist, curating news in a weekly original podcast
- •Tech stack: Python, AWS, React Native, PostgreSQL, Docker, GitHub
- •End-to-end AWS orchestration (SQS, S3, Lambda, RDS, CloudWatch, Amplify)
- •100+ users in first month of beta launch
- •Over 10 hours of podcasts produced
Functional Neurosurgery Lab, National Institutes of Health
May 2024 - Present
Data Engineer
- •Developed a neural data pipeline integrated with Biowulf (HPC cluster at NIH)
- •Processed over 100 TB of raw iEEG data to extract features of cortical traveling waves
- •Built a suite of tools to visualize statistically significant features in the data
Duke Applied Machine Learning Group
May 2024 - Present
Co-head of Data Science
- •Built semantic search for the Duke course finder using RAG and sentiment analysis
- •Developed MLOps cloud computing course for member training program, delivered to 50+ students
- •Created modular pipelines for model serving on AWS
- •Attracted collaborations with 10+ YC-backed early-stage startups
Duke University Department of Computer Science
Aug 2023 - May 2024
Teaching Assistant
- •Led weekly office hours for 200+ students in data structures and algorithms
- •Led a discussion section and weekly office hours on fundamental Object-Oriented principles
National Institute of Standards and Technology (NIST)
May 2023 - Aug 2023
Research Fellow
- •Optimized the shelf life of pharmaceutical drugs
- •Created a random forest machine learning model with active learning to predict the stability of solutions
- •Model reduced 100s of hours of manual testing by achieving 97% accuracy
Skills & Expertise
Python
90%
Java
70%
TypeScript
45%
Swift
30%
MATLAB
80%
PostgreSQL
75%
React (Next.js)
85%
React Native
55%
GitHub
90%
Linux
75%
AWS/GCP
80%
Docker
50%
MLOps
80%
Education
B.S.E in Biomedical Engineering and B.S. in Computer Science
Duke University
2022 – EST 2026
Coursework:
- Computer Architecture
- Computer Networks
- Data Structures and Algorithms
- Differential Equations
- Linear Algebra
- Signals and Systems
- Artificial Neural Networks and Deep Learning
- Medical Software Development