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Schedule Interview NowMy name is Ali M. and I have over 3 years years of experience in the tech industry. I specialize in the following technologies: MongoDB, GraphQL, Python, React, node.js, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: TaxGPT Chrome Extension, Us Tax Code and Court Ruling Automated Scraping, Founding Engineer TaxGPT, Energy Monitoring Dashboard using Django, Indoor Environment Monitoring System Dashboard, etc.. I am based in Islamabad, Pakistan. I've successfully completed 6 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
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Built a Chrome extension to provide users with AI-powered insights and assistance on tax-related queries. The extension integrated with backend AI models to deliver real-time analysis of tax codes and rulings, offering users an intuitive, accessible interface. Skills: Skills: JavaScript, React, Chrome Extension Development, Python (Backend), API Integration, User Experience Design. Deliverables: Fully functional Chrome extension, seamless AI integration for real-time tax insights, and a user-friendly interface for easy access to information.
Developed an automated scraping solution to extract and process U.S. tax codes, laws, and court rulings from multiple legal and government websites. The project aimed to create a structured dataset for further analysis and integration into an AI-driven tax platform. Skills: Python, Scrapy, Selenium, BeautifulSoup, Residential Proxies, Data Cleaning, API Development. Deliverables: Automated scraping scripts, structured datasets of tax codes and rulings, error- handling mechanisms, and integration-ready APIs for downstream processing.
Working as a founding engineer for TaxGPT, I have following responsibilities. 1. Django (Backend Development and Web Framework) 2. NextJS (Frontend Development) 3. Large Language Models (LLMs) 4. Scraping 5. Embeddings and Vectorization 6. Databricks pipelines
The dashboard view energy consumption built using Django web framework. The communication between the embedded device and dashboard was done using MQTT protocol. The data from the energy meter was saved in database using mySQL with Python. Websockets was used to send data from backend to the UI.
Built for NCAI's IoT project for gathering indoor environment parameters and showing it on a dashboard. The Fullstack Dashboard is built using ReactJS frontend, NodeJS backend. Used hooks like Redux, useState, useEffect, useContext etc. API's used: websockets, graphql.
Bachelor of Engineering (BEng) in
2016-01-01-2020-01-01