Muhammad Saqlain@muhammad_saqlain937
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Software Engineer
Pakistan
1 year of experience
About me
I am Muhammad Saqlain. And I am a software engineer with extensive experience in full-stack development. I have worked with technologies like Next.js, React, JavaScript, and TypeScript. I am skilled in state management using Redux and Redux Toolkit. On the back-end, I have experience with Node.js, Express.js, and Rest APIs. I am proficient in databases such as MongoDB, MySQL, and PostgreSQL. And I am willing to work and collaborate on any GenAI tech stack. Additionally, I am familiar with cloud and DevOps tools like AWS (RDS, S3, EC2, Lambda), Docker, CI/CD, and Kubernetes. I have built projects like ShopO and eCommerc3, integrating technologies like Stripe, PayPal, and OAuth API, and using modern UI libraries such as Material UI and Tailwind CSS (also mentioned in my resume). I have also developed AI-powered applications like QuillPDF using LangChain, Pinecone, Prisma, and Next.js. [check my resume here: https://drive.google.com/file/d/1yTzRy4XBq_UizOoB7hm9KoMso7NP7bAl/view?usp=sharing ] š
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Coneai - Rethinking Learning with AI
Traditional learning methods are outdated and inefficient, often wasting valuable time and failing to engage learners. Despite the availability of high-quality free courses, completion rates remain low. Cone.ai aims to rethink learning by leveraging AI to provide personalized coaching that focuses on essential content and effective motivation. Our solution targets busy professionals, offering tailored learning experiences that inspire and engage. By replicating the benefits of 1:1 teaching, Cone.ai ensures users stay focused, motivated, and able to apply new knowledge effectively, transforming how they learn and grow.
Collaborative Summarizer
Students and researchers face immense digital content, leading to digital eye strain and cognitive overload. The constant strain not only affects health but also hampers comprehension and retention, making efficient reading essential for maintaining productivity and well-being. Our team proudly present you with a powerful text summarization tool designed to condense extensive text into concise summaries, saving you time and enhancing comprehension. We have employed the powerful model of Llama 3 along with the frameworks of Streamlit, torch, PyPDF2 and transformers. It Supports direct text input or PDF uploads for summarization. Our app Utilizes advanced algorithms from Llama 3 to ensure accurate and context-aware summaries. Text summarization tools are gaining traction as essential aids in educational, corporate, and research sectors. Furthermore, the increasing demand for efficient reading tools amongst academics, professionals, and students is expanding its scope. One of the major strengths of our app is that it saves time on reading, supports collaborative learning and work. Weakness is that our text summarizer depends on the quality of input text for optimal output. Expanding usage in educational technologies and corporate knowledge management has increased the scope of our tool. However, High competition with existing summarization and reading assistance tools is a challenge for us to keep improving. One of the major areas of improvement is that the file upload limit is 200MB and we can improve it so that multiple files or zip folders can be uploaded to get the desired result.
ClearOUT
ClearOUT is a Recycling/Reuse AI Assistant. It helps people be more sustainable by reusing, donating, or recycling their items. Users can express interest in specific items or upload pictures of things they no longer want. The AI then matches these items with people who need them but cannot afford to buy them, or finds suitable recycling options. It can also function as a marketplace, allowing people to express their needs and find suitable items from a list of posted items.
