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Schedule Interview NowMy name is Muhammad A. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Computer Vision, Deep Learning Modeling, Deep Learning, Natural Language Processing, etc.. I hold a degree in , Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: BillEasy - Automated Usage-Based Billing for SaaS & Service Platforms, Airtable and Chat GPT Integration For Efficient Workflows, n8n-Powered Contract Automation (Google Sheets & DocuSign), High-Quality Audio Creation Workflow, AI Agent And Clio Manage Integration (via Custom GPT & Make.com), etc.. I am based in Islamabad, Pakistan. I've successfully completed 33 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today's highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
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Earlibird
Built a full usage-based billing platform for service businesses with real-time Stripe Connect integration. Delivered advanced analytics to track peak usage, client distribution, and resource perfor
Problem: Teams often struggle with scattered data in Airtable and manual report creation, leading to time-consuming analysis, inconsistent insights, and repetitive document generation. Solution: We i
Problem: Managing contracts manually across spreadsheets, emails, and e-signature tools leads to delays, data inconsistencies, missed follow-ups, and limited visibility into contract status. Solution
Problem: Creating professional audio content manually requires multiple tools, repetitive steps, and constant handoffs collecting input, writing scripts, converting text to voice, and storing files ma
Problem: Legal teams spend excessive time switching between Clio, calendars, documents, and notes. Manual data entry, document review, and case lookups slow work, increase errors, and reduce productiv
in Machine Learning Engineering Nano-Degree
Bachelor of Engineering (BEng) in