To get success in an environment of growth and excellence and to earn a job that provides me job satisfaction along with self-development and helps me achieve organizational and personal goals.
Overview
4
4
years of professional experience
Work History
AI/ML Engineer
WebdataGuru
AHMEDABAD
03.2024 - Current
Developed a Image Matching API which gives a matching score of images.
Converting text data into vectors and finding similar products using vector search.
Creating s custom NER model which extract Attributes from a paragraph and then compare the values with each other.
Creating a Apache Airflow mechanism that connect all the pipelines of functionality and gives final output.
Data Scientist
Quarks Systems
Ahmedabad
03.2023 - 02.2024
I am developing an algorithm that detects similar images from the dataset and gives similar images as output
Developed a mechanism that extract stock price in real time and feed into the model.
Working on developing a process that dynamically automates the crawling process by creating and managing AWS EC2 instances
Developing a database infrastructure that handles large amounts of data without affecting the speed of the system.
Software Engineer
Meglyn Technologies Pvt. Ltd.
Ahmedabad
04.2020 - 02.2023
Developed automated data scraping pipelines, including scheduling and error handling, to ensure data consistency and quality
Conducted exploratory data analysis on scraped data to identify patterns, trends, and anomalies
Integrated scraped data with existing data systems and databases, such as MySQL, PostgreSQL, and MongoDB
Developed and implemented automated techniques to bypass CAPTCHAs and other anti-scraping measures, such as IP blocking, cookie tracking, and user agent detection
Utilized various third-party services, such as DeathByCaptcha, 2Captcha, and Anti-Captcha, to solve Captchas and other challenges
Successfully developing and maintaining over 200 web crawlers each quarter and utilizing a variety of scraping techniques, including Selenium, Beautiful-soup, and XPath
Developed algorithms that utilized various matching techniques, including title similarity, image similarity, attribute matching, and natural language processing, to find similar and exact matches of particular products
Designed and implemented a dynamic product-matching algorithm that could adapt to changes in user input data and modify its use cases accordingly
Implementing a custom framework plugin architecture that stores different functionality, which can be called dynamically as needed, demonstrating strong software development skills and a focus on efficiency and scalability
Developed a script that matched millions of products using title similarity and product SKUs, utilizing Pytesseract for OCR image reading
Utilized AWS RDS, AWS Lambda, and AWS S3 to take screenshots of websites and store images for future use
Designed and implemented a highly scalable database architecture that stores millions of data efficiently and handles them smoothly.