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Schedule Interview NowMy name is Talha S. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Data Analysis, Data Mining, Data Extraction, Selenium, Database, etc.. I hold a degree in Bachelor's degree. Some of the notable projects I’ve worked on include: Medicine-_Scraper, scrape a data from website a store in digitalocean server Govdeals.com, ECOMMERCE DATA SCRAPERS WITH MULTIPLE SITES IN A SINGLE TIME, Scraped 12K logo of multinational companies, Glassdoor.com scraping, etc.. I am based in Lahore, Pakistan. I've successfully completed 11 projects while developing at Softaims.
I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.
Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.
I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.
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Techlogix
A Medicine Scraper is a software application or script designed to automatically collect detailed information about various medicines from online sources such as pharmacy websites, medical databases, or drug directories. This tool typically gathers data such as the medicine's name, salt composition, brand, manufacturer, dosage details, side effects, uses, pricing, and availability. It works by sending requests to web pages, parsing the HTML content, and extracting relevant information using libraries like BeautifulSoup, Scrapy, or Selenium in Python.
I have developed a scraper that extracts auction data from GovDeals.com and stores it on a DigitalOcean server. The system is integrated with OpenAI to estimate the value of listed items using AI-based analysis. This enables real-time monitoring, intelligent valuation, and decision-making support for government surplus auctions.
I have built eCommerce data scrapers that collect information from multiple websites simultaneously. These scrapers efficiently extract product details, prices, and availability in real time. The system supports parallel scraping, making it ideal for market comparison and trend analysis.
I have scraped 12,000 logos of multinational companies across various industries. This dataset captures a wide range of brand identities, styles, and visual elements. It can be used for machine learning tasks like logo detection, brand classification, and visual similarity analysis
My client wanted to scrape all companies info from glassdoor.com. I built Selenium-based script for that purpose
Bachelor's degree in
2020-01-01-2024-01-01