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Schedule Interview NowMy name is Muhammad Ammar H. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Full-Stack Development, Front-End Development, Back-End Development, JavaScript, React, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: Waltz-AI, Scribovet, AI Powered Chrome Extension, AI-Powered Customer Engagement Suite, PDF Q&A System. I am based in Narowal, Pakistan. I've successfully completed 5 projects while developing at Softaims.
I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.
At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.
My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.
Main technologies
6 years
5 Years
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Potentially possible
Gtech Source
A platform that enables customers to generate AI-powered landing page templates and launch email campaigns simply by providing a prompt. Users can host their applications on custom or built-in domains
An AI-powered SaaS platform for veterinarians that enables real-time SOAP note generation, dental charting, and voice-driven clinical summaries, streamlining documentation and improving workflow effic
An AI-powered Chrome extension that helps users conduct internet research simply by providing a prompt.
A unified AI-driven platform combining customer support chatbot, PDF Q&A system, and text-to-image generation. Designed to enhance user interaction, automate support, and enrich visual engagement thro
Users upload PDFs and ask natural-language questions. Implemented RAG pipeline with embeddings + vector search via Pinecone to return accurate contextual answers.
Bachelor of Computer Science (BCompSc) in Computer science
2019-01-01-2023-01-01