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Abdul M. - Machine Learning, Docker, n8n

My name is Abdul M. and I have over 3 years years of experience in the tech industry. I specialize in the following technologies: Python, Selenium, Web Scraping, Deep Neural Network, Data Science, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Setting Up Google Maps Lead Scraper with n8n, Apify & Firecrawl, AI Automation & Web Scraping Workflow, Binance Future Trading Bot with intelligent bot mechanism, YouTube Analytics Collector, Atlas, the Lead Prospector, etc.. I am based in Lahore, Pakistan. I've successfully completed 16 projects while developing at Softaims.

I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.

The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.

I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.

Main technologies

  • Machine Learning

    3 years

  • Python

    1 Year

  • Selenium

    2 Years

  • Web Scraping

    2 Years

Additional skills

Direct hire

Potentially possible

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Experience Highlights

Setting Up Google Maps Lead Scraper with n8n, Apify & Firecrawl

This n8n workflow automates business data collection and enrichment. It starts on a schedule, runs a scraper, checks job status, and retrieves results. Data is filtered against a whitelist, then enriched by scraping business websites to extract key details and contact information. Finally, the processed data is stored in a structured format, ensuring a reliable and automated system for keeping business and contact records accurate and up to date.

AI Automation & Web Scraping Workflow

This workflow represents an automated AI system that gets triggered either on a scheduled time or when a chat message is received. After processing the data through the Edit Fields step, it is sent to the AI Agent, which uses the OpenAI Chat Model, Memory, and web scraping tools (like SERP and Webpage Scraping) to collect the required information. Once the process is complete, the system automatically sends an email. This setup is mainly used for tasks like research, lead generation, content scraping, or AI-powered responses.

Binance Future Trading Bot with intelligent bot mechanism

This bot uses various techniques to place trades and wins almost 80% of the placed trades and it keeps adjusting it self at runtime.

YouTube Analytics Collector

YouTube Analytics Collector is designed to automate the process of retrieving video data from a specified YouTube channel and storing it in a Google Sheets document. It takes user-defined inputs, interacts with the YouTube Data API, processes the data, and outputs it in a structured format.

Atlas, the Lead Prospector

Atlas, the Lead Prospector, is an AI-powered intelligent assistant designed to revolutionize the lead generation process. By leveraging advanced data analysis and automation, Atlas simplifies the task of identifying, qualifying, and managing leads, enabling businesses to focus on building meaningful connections and driving growth.

Education

  • Government College University, Lahore

    Bachelor of Computer Science (BCompSc) in Computer science

    2014-01-01-2018-01-01

Languages

  • English

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