Vida Gharavian
Toronto,ON
Summary
Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
Overview
6
6
years of professional experience
5
5
years of post-secondary education
2
2
Languages
Work History
Research Assistant
Ontario Tech University
05.2022 - Current
- Worked on portfolio optimization problem using genetic algorithm and historical data of US stock market
- Designed an LSTM model to predict ticker's price in future and market behavior
- Researched on surrogate models using Graph Neural Networks (GNN) to enhance optimization algorithms to save fitness call budget and decrease time complexity and expected to graduate by the end of April
- Implemented ethical guidelines throughout all stages of the research process, fostering responsible conduct in scientific pursuits.
Software Engineer
Neshan
06.2021 - 12.2022
- Designed an MLOps architecture for speed bump detection service using mobile sensors and customer reports with handling invalid data reports using semi-supervised algorithms such as CPL(Coupled pattern learner)
- Designed and implemented a outlier detection algorithm to detect invalid speed-bumps from Map by sensors data using Spark ML.
- Achievements: Learning Java Spring boot Working on a microservice architecture ; Increase my knowledge about message brokers (RabbitMQ); Dockerizing projects using Docker Compose; Working with Kubernetes; Designing maven libraries; Working with minIo for storing and developing Machine Learning models;
Python Developer
Ferdowsi Cloud
02.2021 - 04.2021
- Developed multiple micro-services for providing VMs in Django based web service with OpenStack's cloud infrastructure
- Devised and deployed a Restful web service for installing packages using Ansible on VMs.
Research Assistant
Pattern Recognition Lab @ Ferdowsi University
08.2020 - 02.2021
- Participated in signal processing endeavors, primarily focused on projects about both stock market analysis and semantic analysis.
- Participated actively in regular meetings with fellow researchers to discuss project updates, challenges faced, and lessons learned during ongoing activities.
- Enhanced research quality by meticulously collecting and analyzing data from various sources.
Django Developer
AIT
11.2018 - 07.2019
- AIT is a Knowledge Based Company working on AI Base Systems and some Hardware Gadgets
- I was at software team as Back-End developer working with Django on three lunched project
Data Engineer Intern
Rayvarz
10.2017 - 03.2018
- Designed and supported instances of Rayvarz BPMS engine in SQL Server
- Contributed to cross-functional teams, collaborating effectively with project managers, developers, analysts, and other stakeholders throughout project lifecycles.
Education
Master of Science in Electrical and Computer Engineering -
01.2023 - Current
- Thesis Title: A Pairwise Surrogate Model using GNN for Evolutionary Optimization
- [4.1] GPA
- Completed Coursework: [Large Language Models][2023], [Sensor Network][2023],[IOT][2023]
Bachelor of Science - Computer Engineering
05.2017 - 05.2021
Skills
Python
Java
C
SQL
MySQL
Redis
Docker
Kubernetes
Django
Spring Boot
RabbitMQ
MLflow
Scikit-learn, TensorFlow, PyTorch
Timeline
Ontariotech University - Master of Science in Electrical and Computer Engineering,
01.2023 - Current
Research Assistant - Ontario Tech University
05.2022 - Current
Software Engineer - Neshan
06.2021 - 12.2022
Python Developer - Ferdowsi Cloud
02.2021 - 04.2021
Research Assistant - Pattern Recognition Lab @ Ferdowsi University
08.2020 - 02.2021
Django Developer - AIT
11.2018 - 07.2019
Data Engineer Intern - Rayvarz
10.2017 - 03.2018
Ferdowsi University - Bachelor of Science, Computer Engineering
05.2017 - 05.2021