I am an experienced Associate Software Developer with a strong background in web scraping and microservice architecture. In my current role at Flixstock, I specialize in automating scraping for fashion data using Python and Selenium. I assist the sales team by providing scraped data for pitches and marketing purposes, and curate images for machine learning training models.
One of my key achievements at Flixstock has been the deployment of ML model REST APIs on both local servers and AWS cloud using microservices with ray.io. I have also developed REST APIs with FastAPI, which has significantly reduced API testing time by 60% through robust unit tests, resulting in cost savings. Additionally, I have created automation tools for image processing using open-cv and I/O operations, and implemented data pipelines for optimal efficiency.
Prior to my role at Flixstock, I worked as a Teaching Assistant at CodingNinjas, where I guided students as a Python Teaching Assistant Intern. I helped students grasp coding concepts, fostered innovative thinking, and contributed to their growth in computer science.
