Hello! My name is Armin.

I am a UC Davis alumni currently pursuing my Master’s degree in Europe with a focus on Machine Learning. My experience spans neural network development, CI/CD pipelines and full-stack development. I am passionate about blending creativity and logic in software development to create solutions that improve people’s lives. My drive to learn in diverse and global environments has shaped my growth as both a developer and a collaborator. I am eager to continue taking on new challenges, contributing my skills, and collaborating with talented teams to make a positive impact.

July 2024 – Present
Junior Machine Learning Engineer
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 their arduino microcontroller project
  • Executed a comprehensive orientation program that increased student engagement by 25%, with 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
Software Developer 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 TypeScript HTML CSS SQL React

Frameworks & Libraries

PyTorch LangChain Pandas Scikit-learn Flask HuggingFace Expo Electron

Tools & Technologies

Git GitLab MLflow CUDA Figma CI/CD

Coursework

Machine Learning Deep Learning Object-Oriented Programming Data Structures Algorithms Natural Language Processing

Batch Image Editor

Cross-platform desktop app that automates image processing tasks.

  • Reduced editing time by 85% with automated batch processing
  • Supports 10+ formats across Windows, macOS, and Linux
Electron • Python • JavaScript
Unified ESL Attendance Tracker

Attendance Tracker

Web portal for ESL service providers to track client attendance and analytics.

  • Built full-stack app with authentication and client management
  • Dashboard tracks attendance percentages and monthly hours
TypeScript • Tailwind CSS • PostgreSQL

Habit Tracker App

Mobile app for building positive habits and breaking negative ones.

  • Dual tracking system with progress metrics and milestones
  • Consistency counters and time-since-relapse tracking
React Native • Expo • JavaScript
MindtheAge

MindtheAge

Mental health app that provides personalized resources using ML classification.

  • Built logistic regression model to classify mental health text inputs
  • Designed UI with authentication and personalized recommendations
Python • Scikit-learn • Streamlit
NBA Points Predictor

NBA Points Predictor

Web app predicting player points per game using regression models.

  • Analyzed historical performance data with regression modeling
  • Provides insights for training and player evaluation
Python • Flask • Scikit-learn

Drug-LLM: Medication Information Model

Fine-tuned LLM for accurate medication information retrieval.

  • Reduced trainable parameters by 93% using PEFT/LoRA
  • Achieved 87% accuracy vs 62% with generic models
PyTorch • Transformers • GPT-2