Machine Learning Engineer:
At Open-Power, renewable energy power generation [Fall 2023 - Fall 2025]
My duties were:
- Developed and deployed an online ML tool for solar panel detection from scratch (PyTorch)
- Developed ML models for solar energy prediction
Research and development Intern:
At Roshan-AI, a knowledge enterprise [summer 2020]
My duties were:
- Gathering a Persian text corpus by developing a web crawler
- Using the same data to learn Persian word embeddings
- Designing a stock market predictor model and Gathering its data
Research Assistant:
Under the supervision of dr. Safabakhsh [spring 2020]
This was where I learned, in practice, about time-series data, various layer types and how to work with TensorFlow, TensorBoard, and Keras.
Our work mostly included:
- Implementing RNN models for stock market prediction
- Gathering and preprocessing the needed data, and experimenting many different model architectures on them
I have also been a teaching assistant in several courses:
- ECE 250: Algorithms & Data Structures [Winter 2024]
- ECE 150: Fundamentals of Programming [Fall 2023]
- ECE 252: Systems Programming and Concurrency [Spring 2023]
- Computational Intelligence [fall 2020 - fall 2021]
- Artificial intelligence [fall 2021]
- Data Mining [spring 2021]
- Principles of Cloud Computing [spring 2021]
- Operating Systems [spring 2020]
- Computer Architecture [fall 2019]
I was primarily responsible for:
- Holding office hours for students and helping with their course work
- Designing and grading assignments, quizzes, and course projects
- Creating video tutorials, assignment solutions, and extra resources
- Coordinating the teaching assistance team (when I was the head TA)
