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Schedule Interview NowMy name is Hassan M. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: n8n, Automation, Zapier, Make.com, Python, etc.. I hold a degree in Bachelor of Computer Applications. Some of the notable projects I’ve worked on include: Web Scraper – Python, Ai Voice Agent - Python, Bandage – AI-Powered Fitness Web App, Brighter AI – Image Recognition Platform, U4RIA - Ai powered Health and Fitness App, etc.. I am based in Lahore Cantt, Pakistan. I've successfully completed 9 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
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I developed automated scrapers in Python using Scrapy for large-scale crawling, Playwright for handling dynamic pages, and BeautifulSoup for parsing HTML. Pandas was used to clean, normalize, and structure the data into a consistent format. Finally, I exported the results into CSV/Excel, making the data ready to use instantly.
AI Voice Agent was developed using Python, n8n, and Make (Integromat) to automate voice-based interactions and streamline workflows. I built the core logic in Python, integrating speech-to-text and natural language processing models to understand user input and generate contextual responses. Using n8n, I created automated workflows that connected the voice agent with external services (CRM, email, databases), while Make was used to orchestrate complex multi-step automations, ensuring data synchronization and task execution without manual intervention.
Bandage is an AI-powered fitness web app I built as an AI Integration Specialist, leveraging Python, React, FastAPI, OpenAI, and AI automation tools. I developed automated AI workflows that process user data, track workouts, and deliver personalized fitness recommendations in real time. The backend, built with Python and FastAPI, handled machine learning model integration and API connections with fitness platforms, while React powered an intuitive, responsive frontend.
Live Link: https://brighter.ai/ Brighter AI is an advanced image recognition platform that I developed as a Full Stack AI Developer and AI Integration Specialist, leveraging Python, OpenAI, and automation tools like Zapier. The platform uses AI-powered computer vision to detect, classify, and extract meaningful information from images in real time, supporting use cases like content moderation, visual search, and metadata tagging. I built the core image processing pipeline in Python, integrating OpenAI APIs for enhanced labeling and semantic analysis,.
U4RIA is an AI-powered health and fitness application built with Python and React, designed to provide users with personalized workout plans, nutrition guidance, and real-time progress tracking. The app leverages advanced AI algorithms to analyze user data and deliver tailored recommendations, while seamlessly integrating with wearable devices and health APIs to track steps, heart rate, and calories. With an intuitive and responsive React interface, users enjoy a smooth experience across web and mobile, supported by a scalable Python backend optimized for performance and growth.
Bachelor of Computer Applications in Computer science
2013-01-01-2017-01-01