Hello! My name is Armin.

I am a University of California, Davis alumni with a B.S in Computer Science. I am passionate about exploring the intersections of creativity and logic in AI & software development. My strong interest in AI and ML has driven me to seek out opportunities in exciting fields, with the ultimate goal of creating software that can improve people's lives. Let's connect!

July 2024 – Present
Machine Learning Research Assistant
SDSU Research Foundation, San Diego, CA
  • Developed an ML model for identifying DNA base modifications using a Siamese Neural Network
  • Conducted extensive data preprocessing, hyperparameter tuning, and optimization to achieve .95 MCC
  • Leveraged Nvidia GPU clusters and CUDA-powered Pytorch platform to accelerate training
  • Designed a CI/CD pipeline to automate data preprocessing, unit testing, model training, evaluation, and deployment
  • Tools used: Pytorch, Numpy, Pandas, GitLab, Mlflow
August 2023 – September 2023
Program Assistant
AvenueE, Davis, CA
  • Guided 10 computer science students to 100% completion rate on microcontroller project, with 2 of my groups wining prizes for their projects
  • Executed a comprehensive orientation program that increased student engagement by 25%, with post-program surveys showing 90% satisfaction rates
September 2023 - June 2023
Philanthropy Chair
Phi Gamma Delta, Davis, CA

Planned the first week-long philanthropy for the Delta Chi chapter, pioneering an Island-themed event that generated $1500 in charitable proceeds for the United Service Organization. This endeavor involved coordinating a series of diverse activities spanning several days, leveraging collaborative partnerships with local businesses and the university to curate a memorable student-centric experience.

Pictures
June 2023 – August 2023
Computer Science Intern (remote)
Sports Impact Technologies, Dublin, Ireland

Startup that develops a wearable sensor to monitor head impacts

  • Developed a website from inception to completion, through self-taught HTML and CSS, articulating the company's mission, showcasing product features, and enabling customer engagement through email input forms
  • Utilized Figma for UI/UX design and wireframing, translating design into a functional web application
  • Led remote presentations on website development processes, sharing methodologies, technical challenges, and solutions
January 2022 – June 2022
Student Council Treasurer
International Peoples College, Helsingor, Denmark

Folk school where classes are taught from a global perspective

  • Implemented a Java program to monitor the student council budget, ensuring accurate recording of deposits and withdrawals, resulting in efficient financial management
  • Acted as a representative of the student body, presenting financial reports and student needs to the school board

Programming Languages

Python Java C++ JavaScript HTML CSS SQL React Native

Frameworks & Libraries

PyTorch LangChain Pandas Scikit-learn Flask HuggingFace Expo Electron

Tools & Technologies

Git GitLab MLflow CUDA Figma CI/CD Azure CrewAI

Coursework

Machine Learning Deep Learning Object-Oriented Programming Data Structures Algorithms

Batch Image Editor

A cross-platform desktop application for image processing tasks.

  • Features: background removal, batch renaming, background color customization
  • Integrated Python-based image processing algorithms
  • Tools: Electron, Python, HTML, CSS, JavaScript
MindtheAge

MindtheAge

A mental health recommendation app that provides tailored resources based on user profiles.

  • Implemented a logistical regression model to classify mental health text inputs
  • Designed a user interface with login and navigation features
  • Tools: Python, Scikit-learn, Streamlit

Habit Tracker App

A React Native mobile app for tracking both positive habits and breaking negative habits.

  • Implemented dual tracking systems with unique progress metrics
  • Consistency counters for positive habits
  • Time-since-relapse tracking with milestone achievements
  • Tools: React Native, Expo, JavaScript
NBA Points Predictor

NBA Points Predictor

A web application that predicts NBA players' future points per game using regression modeling.

  • Leveraged statistical analysis of historical performance data
  • Informs training, team strategies, and player evaluations
  • Tools: Python, Flask, HTML, Pandas, Scikit-learn

Drug-LLM: Medication Information Model

A specialized language model fine-tuned on prescription medication data to provide accurate responses to medication-related queries.

  • Implemented Parameter-Efficient Fine-Tuning (PEFT) using Low-Rank Adaptation, reducing trainable parameters by 93%
  • Achieved 87% accuracy in medication information retrieval compared to 62% with generic models
  • Tools: PyTorch, Transformers, PEFT, GPT-2, Python